Webinar - Big Data: Power to the User

•

0 recomendaciones•1,243 vistas

What is the value of big data? How does a user get that value? Before, analysts would have to wait months relying on IT for a new report or make changes to an existing one. Now, analysts are able to shrink that time down to days or even minutes. On top of that, analysts can ask questions that were not possible before. In this webinar, we’ll show you how this analysis is possible and the value that has been achieved by customers. In this session, you will learn: How analysts get value out of big data How to visualize data at every step of analysis How analysts can do big data analytics without IT, in one product

Tecnología Empresariales

View Recording

You can view the recording of this webinar at:

http://info.datameer.com/Online-Slideshare-
Big-Data-Power-to-the-User-OnDemand.html

About Our Speaker
Karen Hsu @karenhsumar
With over 15 years of experience in
enterprise software, Karen Hsu has co-
authored 4 patents and worked in a variety
of engineering, marketing and sales roles.

Most recently she came from Informatica
where worked with the start-ups Informatica
purchased to bring data quality, master data
management, B2B and data security
solutions to market. Karen has a Bachelors
of Science degree in Management Science
and Engineering from Stanford University.
#datameer @karenhsumar !

Agenda
■ Business Value of Big Data Analytics
■ Technology
■ Example
■ Q&A
#datameer @karenhsumar !

© 2013 Datameer, Inc. All rights reserved.
Business Value of Big Data Analytics
Customer
Analytics
Fraud &
Compliance
EDW
Optimization
Operational
Analytics
Increase
Customer
conversion by 3x
Identify $2B in
potential fraud
98% OpEx savings
$1M+ CapEx
savings
Save $22,000 /
minute
#datameer @karenhsumar !

© 2013 Datameer, Inc. All rights reserved.
How We Think About Big Data
BEFORE! TODAY!
Human Capital
Human Capital Cost
Hardware Costs
Hardware Costs
Low Data Complexity
High Data Complexity
#datameer @karenhsumar !

© 2013 Datameer, Inc. All rights reserved.
Time for
Decision
Time to
Insight
The Problem!
#datameer @karenhsumar !

© 2013 Datameer, Inc. All rights reserved.
BI vs. Big Data Analytics!
ETL
Data Warehouse
Business Intelligence
Slow! Static! Complex!
18 months
#datameer @karenhsumar !

© 2013 Datameer, Inc. All rights reserved.
BI vs. Big Data Analytics!
ETL
Data Warehouse
Business Intelligence
Raw Data! Flume/Sqoop/Hive! Database/Tableau!
12 months
Fast! Dynamic! Simple!
Raw Data
Hadoop
Drag & Drop
Spreadsheet
Less than 4 weeks
#datameer @karenhsumar !

© 2013 Datameer, Inc. All rights reserved.
Big Data Ecosystem & Evolution
Infrastructure
Platform
Hardware
Vertical Solution
#datameer @karenhsumar !

© 2013 Datameer, Inc. All rights reserved.
Use Case Categories!
Customer
Analytics
Fraud
Compliance
Operational
Analytics
EDW
Optimization
#datameer @karenhsumar !

© 2013 Datameer, Inc. All rights reserved.
Lean Analytics Process
1. Integrate!
3. Analyze!
4. Visualize!
2. Prepare!
Identify!
Use Case!
Deploy!
#datameer @karenhsumar !

© 2013 Datameer, Inc. All rights reserved.
Product
#datameer @karenhsumar !

© 2013 Datameer, Inc. All rights reserved.
Wizard-led Data Integration! Point-and-click Analytics!
Self-Service Big Data Analytics!
Drag-and-Drop Visualization!
• No ETL!
• 50+ Connectors + plug-in API!
• Spreadsheet UI!
• 240+ pre-built functions!
• HTML5 support!
• View on any device!

© 2013 Datameer, Inc. All rights reserved.
Add-on: Smart Analytics!
Drag & Drop Smart Analytics

© 2013 Datameer, Inc. All rights reserved.
Enterprise Integration!
#datameer @karenhsumar !

Example
1. Integrate
3. Analyze
4. Visualize
2. Prepare
Identify
Use Case
Deploy
#datameer @karenhsumar !

Integrate
3. Analyze
4. Visualize
2. Prepare
1. Integrate
Identify
Use Case
Deploy
#datameer @karenhsumar !

Prepare
1. Integrate
3. Analyze
4. Visualize
Identify
Use Case
Deploy
2. Prepare
Proﬁle
Identify Outliers
Enrich
Convert
Transform
#datameer @karenhsumar !

Analyze
1. Integrate
4. Visualize
2. Prepare
Identify
Use Case
Deploy
3. Analyze
#datameer @karenhsumar !

Visualize
#datameer @karenhsumar
1. Integrate
3. Analyze
2. Prepare
Identify
Use Case
Deploy
4. Visualize

Deploy
1. Integrate
3. Analyze
4. Visualize
2. Prepare
Identify
Use Case
Deploy
#datameer @karenhsumar !

Addressing Data Scientist Challenges
in Workﬂow
Multiple tools
One platform
Reproduce results
Collaborate + Track
Not for business
Ease of Use
#datameer @karenhsumar !

Contact
Learn more
For more information
@karenhsumar
khsu@datameer.com
http://www.datameer.com/solutions/use-
cases.html
#datameer @karenhsumar !

Más contenido relacionado

La actualidad más candente

Big Data Case study - caixa bank

Chungsik Yun

This webinar featuring Claudia Imhoff, President of Intelligent Solutions & Founder of the Boulder BI Brain Trust (BBBT), Matt Schumpert, Director of Product Management and Azita Martin, CMO at Datameer, will highlight the latest technology trends in extending BI with big data analytics and the top high impact use cases. Attendees will hear about: -- The extended architecture for today's modern analytics environment -- The Internet of Things (IoT) and big data -- The evolution of analytics – from descriptive to prescriptive -- High impact use cases as a result of the changing analytics world

Extending BI with Big Data Analytics

Datameer

BigData in Banking

Andzhey Arshavskiy

Big data analytics is revolutionizing the way businesses are collecting, storing, and more importantly, analyzing data. However, the adoption of a big data analytics solution has its share of failures and false starts. Watch this webinar to learn how to navigate the most common obstacles of big data analytics. Datameer and MapR have worked with customers to identify and solve the common pitfalls organizations face when deploying Hadoop-based analytics. In this webinar, we will show you how to: • Find the balance between infrastructure and business use cases • Overcome challenges of using multiple tools that address big data analytics • Leverage all your resources (data scientists, IT and analysts) most effectively

How to Avoid Pitfalls in Big Data Analytics Webinar

Datameer

"Information from the past won't support the insights of the future - businesses need real-time data," said Forrester Analyst Noel Yuhanna. In this presentation, he explains the challenges of latent data faced by business users, the need to accelerate fast data strategy using data virtualization, and the implications of such strategy. This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/a2xNyZ.

Accelerating Fast Data Strategy with Data Virtualization

Denodo

Title DataOps, the secret weapon for delivering AI, data science, and business intelligence value at speed. Synopsis ● According to recent research, just 7.3% of organisations say the state of their data and analytics is excellent, and only 22% of companies are currently seeing a significant return from data science expenditure. ● Poor returns on data & analytics investment are often the result of applying 20th-century thinking to 21st-century challenges and opportunities. ● Modern data science and analytics require secure, efficient processes to turn raw data from multiple sources and in numerous formats into useful inputs to a data product. ● Developing, orchestrating and iterating modern data pipelines is an extremely complex process requiring multiple technologies and skills. ● Other domains have to successfully overcome the challenge of delivering high-quality products at speed in complex environments. DataOps applies proven agile principles, lean thinking and DevOps practices to the development of data products. ● A DataOps approach aligns data producers, analytical data consumers, processes and technology with the rest of the organisation and its goals.

DataOps - Big Data and AI World London - March 2020 - Harvinder Atwal

Harvinder Atwal

New research shows that 57% of the buying cycle is completed before a prospect even speaks to a company. Marketers already know this, Ninety-six percent (96%) of organizations believe that email personalization can improve email marketing performance. But where do we get this increasingly personal direction? The answer is likely in your customer data. In order to understand your customer needs contextualized in the moment they feel the need to act you will require a platform that can leverage real-time data. Apache Kudu is a Cloudera component that makes dealing with quickly changing data fast and easy. Companies are leveraging next generation data stores like Kudu to build data applications that deliver smart promotions, real-time offers, and personalized marketing. Join us as we discuss modern approaches to real-time application development and highlight key Cloudera use cases being powered by Cloudera’s operational database.

The Big Picture: Real-time Data is Defining Intelligent Offers

Cloudera, Inc.

Ensuring Data Quality and Lineage in Cloud Migration - Dan Power

Molly Alexander

"A recent study completed by IDC examined the economic benefits accrued to organisations that made basic levels of investment in distinct areas of analytics and data management compared with the benefits accrued by organisations that opted for a broader and more diverse set of investments. The conclusion was that the leading organisations expect to capture in excess of $1.5 trillion more in value from their data and analytics initiatives over the next 4 years. This represents a 60% higher data dividend for the leading organisations. To achieve these benefits organisations need to embrace the changing reality of the new data driven society and make a break from the beliefs and best practices inherent in traditional Business Intelligence programmes. During the presentation Andy will expand on the data dividend concept, outline the 4 key investment areas that should be getting your attention and perhaps most importantly, explain how your existing SAP BusinessObjects technology can help you take your share of the estimated £53 billion UK data dividend."

Strategy session 5 - unlocking the data dividend - andy steer

Andy Steer

Satyam open analytics nyc

Open Analytics

Make data simple in the cognitive era

IBM Analytics

Executives are still waiting on our “Big Data Deep Insights”. Many of us are down the path of collecting, extracting, and analyzing our ever-growing data in Hadoop environments. We are building our data science expertise and expanding data governance. Yet still we are not getting what we are waiting for.This talk is about: 1. Getting to the right questions 2. Setting expectations with the executive team 3. The unintentional consequence of suddenly having lots of data 4. Framing the boundaries of our data science 5. Pragmatic data governance 6. Looking outside your data to 3rd party data

Asking the Right Questions of Your Data

DataWorks Summit

Into dq ed wrazen

BigDataExpo

LoQutus helps organisations to innovate with analytics and to get insights with data visualisation. We also build large scale data layers to enable interaction with core data, and develop data-driven applications to deliver the insights our customers need. During this session we’ll share what we have learned along the way. We’ll show you our framework for self-service analytics & insights, and some successful case studies.

Self-Service Analytics Framework - Connected Brains 2018

LoQutus

Data Leaders Summit Barcelona 2018

Harvinder Atwal

Do you wonder how to process huge amounts of data in short amount of time? If yes, this session is for you! You will learn why Apache Hadoop and Streams is the core framework that enables storing, managing and analyzing of vast amounts of data. You will learn the idea behind Hadoop's famous map-reduce algorithm and why it is at the heart of solutions that process massive amounts of data with flexible workloads and software based scaling. We explore how to go beyond Hadoop with both real-time and batch analytics, usability, and manageability. For practical examples, we will use IBM InfoSphere BigInsights and Streams, which build on top of open source tooling when going beyond basics and scaling up and out is needed.

How to Crunch Petabytes with Hadoop and Big Data Using InfoSphere BigInsights...

DATAVERSITY

Multi Cloud Data Integration- Manufacturing Industry

alanwaler

Big Data LDN 2017: Data Governance Reimagined

Matt Stubbs

Big Data LDN 2017: How to leverage the cloud for Business Solutions

Matt Stubbs

This changes everything. When it comes to data analytics, accuracy and data quality is crucial. Location Hub Analytics ® is the only self-service analytics engine that leverages Canada’s most robust, accurate and up-to-date location-based data for precise, compelling, unbiased results. CLEANSE Location Hub Analytics automatically validates, standardizes, and geocodes your address database. Each record is assigned a Unique Address Identifier (UAID®) ENRICH Location Hub Analytics enriches your data with Canadian demographics information for further analysis and greater customer intelligence. ANALYZE Location Hub Analytics quickly processes and analyzes your data, objectively revealing meaningful patterns and trends INFILL Location Hub Analytics helps you generate new prospect lists by infilling the addresses within a specific territory that are not in your current database. VISUALIZE Unlike other analytics engines, Location Hub Analytics allows you to visualize and interact with your results on a map for better data profiling SHARE Quickly and easily share your customized report with key stakeholders

DMTI Spatial Location Hub Analytics: big data, analytics, visualization

DMTI Spatial

La actualidad más candente (20)

Big Data Case study - caixa bank

Extending BI with Big Data Analytics

BigData in Banking

How to Avoid Pitfalls in Big Data Analytics Webinar

Accelerating Fast Data Strategy with Data Virtualization

DataOps - Big Data and AI World London - March 2020 - Harvinder Atwal

The Big Picture: Real-time Data is Defining Intelligent Offers

Ensuring Data Quality and Lineage in Cloud Migration - Dan Power

Strategy session 5 - unlocking the data dividend - andy steer

Satyam open analytics nyc

Make data simple in the cognitive era

Asking the Right Questions of Your Data

Into dq ed wrazen

Self-Service Analytics Framework - Connected Brains 2018

Data Leaders Summit Barcelona 2018

How to Crunch Petabytes with Hadoop and Big Data Using InfoSphere BigInsights...

Multi Cloud Data Integration- Manufacturing Industry

Big Data LDN 2017: Data Governance Reimagined

Big Data LDN 2017: How to leverage the cloud for Business Solutions

DMTI Spatial Location Hub Analytics: big data, analytics, visualization

Similar a Webinar - Big Data: Power to the User

With the ease and convenience of the internet, shopping online has never been faster and simpler than with a click of a button. But with this convenience, lurks the consequence for online fraud. Companies and merchants lose valuable time and money to online thieves scamming the web. Learn how to identify patterns with Datameer and Trustev as they demonstrate how to take control of the situation and combat combat against suspicious activity by using big data analytics. In this webinar, you will take away: *An understanding of the complexities and challenges of online fraud today *Best practices for merchants and companies to protect themselves from fraud *A demonstration of fraud reporting, prevention and prediction

Online Fraud Detection Using Big Data Analytics Webinar

Datameer

Surveys reveal that concerns about data quality can create barriers for companies deploying Analytics and BI initiatives. How can you readily identify and correct data quality issues at every step of your big data analysis to ensure accurate insights into customer behavior? In this webcast, we'll discuss how IT and business users can leverage self-service visualizations to quickly spot and correct data anomalies throughout the analytic process. In this webinar, you will learn how to: -Continuously visualize a profile of your data to identify inconsistencies, incompleteness and duplicates in your data -Visualize machine learning and data mining, including clustering, decision tree analysis, column correlations and recommendations -Create self-service visualizations for business and IT users

Instant Visualizations in Every Step of Analysis

Datameer

Self-service tools empowers business users to rapidly gather, analyze and visualize data from broad, diverse data sources. Analyzing these sources provides new answers and new business opportunities for those smart enough to answer the new questions. Free your IT staff from the need to respond to routine report requests. Business users can now rely on the rapid delivery of advanced self-service BI and data visualization capabilities to solve complex problems and capitalize on new opportunities. From these slides, you will learn: -Customer examples and return on investment from self-service big data analytics -How business analysts can take advantage of Machine Learning -Best practices in self-service big data analytics

Customer Case Studies of Self-Service Big Data Analytics

Datameer

You can view the full presentation of this webinar here: http://info.datameer.com/Slideshare-Fighting-Fraud-this-Holiday-Season.html In 2012, retailers lost $3.5 billion in revenue to online fraud. These losses spike by a substantial estimated 20% during the holiday season. Join Datameer and Hortonworks in this webinar to learn how Big Data Analytics can be used to identify new fraud schemes during peak fraud season. In this webinar, you will learn about: current challenges in identifying fraud what to look for in a big data solution addressing fraud how big data analytics can identify credit card fraud best practices

Fight Fraud with Big Data Analytics

Datameer

Making Hadoop based analytics simple for everyone to use

Swiss Big Data User Group

Banks are rich in valuable data and can build and maintain a competitive advantage by identifying and executing on high-value machine learning projects leveraging the rich data available.This webinar will describe use cases fit for big data and machine learning in the banking sector (commercial, consumer, regulatory, and markets) and the impact they can have for your organization. 3 things to learn: * How to create a next generation data platform and why it is important * How to monetize big data using predictive modeling and machine learning * What is needed for automated machine learning as a sustainable, cost-effective, and efficient solution

Transform Banking with Big Data and Automated Machine Learning 9.12.17

Cloudera, Inc.

Unstructured data is growing 62% per year faster than structured data. According to Gartner, data volumes are set to grow 800% in aggregate over the next 5 years, and 80% of it will be unstructured data. This on-demand webinar will highlight and discuss: How applying big data analytics to unstructured data can help you gain richer, deeper and more accurate insights to gain competitive advantages The sources of unstructured data which include email, social media platforms, CRM systems, call center platforms (including notes and speech-to-text transcripts), and web scrapes How monitoring the communications of your customers and prospects enables you to make time-sensitive decisions and jump on new business opportunities

Analyzing Unstructured Data in Hadoop Webinar

Datameer

Big Data enables you to combine the vast amount of customer behavior data being generated from mobile, web, social media, transaction systems, Ads and turn them into new insights that drive customer acquisition and retention. This talk will highlight and showcase how leading edge companies are leveraging big data to: Combine customer interaction data to understand customer buying journey Understand high-value customer behavior beyond profile segmentation Identify the most common path to customer churn Perform market basket analysis to help with cross-sell and up-sell Speakers: Matt Schumpert Director of Product Management Matt has been working in the enterprise infrastructure software space for 15 years in various capacities, including product management, sales engineering, sales leadership and strategic alliances. An early employee of Big Data pioneer Datameer, Matt is currently focused on driving the strategic direction and technology strategy for Datameer’s flagship Big Data analytics product. Previously, Matt built the sales engineering organization at Datameer, managed strategic partnerships at Oracle & BEA Systems in the US an Europe, and drove sales of business rules management software at ILOG (now IBM). Matt holds a BS in Computer Science from the University of Virginia.

Understanding Customer Buying Journey with Big Data

AnalyticsWeek

Federal organizations increasingly are focused on creating environments that enable more data-driven decisions. Yet ensuring that all data is considered and is current, complete, and accurate is a tall order for most. To make data analytics meaningful to support real-world transformation, agency staff need business tools that provide user-friendly dashboards, on-demand reporting, and methods to manage efficiently the rise of voluminous and varied data sets and types commonly associated with big data. In most cases, existing systems are insufficient to support these requirements. Enter the enterprise data hub (EDH), a software architecture specifically designed to be a unified platform that can economically store unlimited data and enable diverse access to it at scale. Plan to attend this discussion to understand the key considerations to making an EDH the architectural center of your agency’s modern data strategy.

Standing Up an Effective Enterprise Data Hub -- Technology and Beyond

Cloudera, Inc.

In Big Data projects, analysts often spend 80% of their time preparing data for analysis. In addition, users don’t have a good understanding of their data quality. Today there are multiple tools that assist with integration, data preparation, analysis and visualization. However, data quality continues to be one of the biggest challenges businesses face when deploying big data analytics. People need to profile their data and ensure data quality to get accurate insights and make informed business decisions. Join Datameer as we address these pain points with visualizations at every step. This webinar will highlight and showcase: -How visual data profiling reduces the guesswork in the data wrangling process -Enhanced interactive data mining capabilities reduce time to insight -A demonstration of the new 4.0 features and functions

Webinar - Introducing Datameer 4.0: Visual, End-to-End

Datameer

The Journey to Success with Big Data

Cloudera, Inc.

James Mesney_"Datameer's Big Data Analytics Platform"_April 9th_Data Enthusia...

Dataconomy Media

Four Key Considerations for your Big Data Analytics Strategy

Arcadia Data

This will be an engaging, fast-paced and informative presentation and discussion of the latest tools and trends in predictive analytics. The webinar will include a demo of the PMML capabilities in Alpine Data Labs Chorus 4.0 and instant deployment of predictive models via Zementis solutions. On this webinar you’ll come away with the following knowledge: Quickly start your very own Alpine Chorus 4.0 advanced analytics project and export to PMML with ease. Leverage the power of PMML in a simple Fraud Detection example. Operationalize your project with Zementis deployment solutions.

Predictive analytics from a to z

alpinedatalabs

Chanchal Chatterjee PARTNERS 2017 Oct24

Chanchal Chatterjee

Data is everywhere and we never saw such amount of data to handle. An estimated 80% of this data contains location information! Your organization needs to evaluate your data in context with relevant business factors and gain spatial insights for confident business decisions. Precisely, with its expertise and wide portfolio, can support you to: Govern your spatial data with a strong data governance strategy Elaborate metrics and enhance analytics to accelerate insights and reduce business risksEnrich your data to unlock new insights and empower better-informed decisionsData Integrity – a journey to increase trust in data, accelerate data-driven transformation and produce better business results – is the key to transform your company into a successful data-driven one. Discover in our webcast how governing spatial data provides trusted insights for confident business decisions.

Why spatial data governance is critical to your business strategy

Precisely

Big data-analytics-ebook

Aravindharamanan S

To view the full webinar, please go to: http://info.datameer.com/Slideshare-Complement-Your-Existing-EDW-with-Hadoop-OnDemand.html With 40% yearly growth in data volumes, traditional data warehouses have become increasingly expensive and challenging. Much of today’s new data sources are unstructured, making the structured data warehouse an unsuitable platform for analyses. As a result, organizations now look at Hadoop as a data platform to complement existing BI data warehouses, and a scalable, flexible and cost-effective solution for data storage and analysis. Join Datameer and Cloudera in this webinar to discuss how Hadoop and big data analytics can help to: -Get all the data your business needs quickly into one environment Shorten the time to insight from months to days Extend the life of your existing data warehouse investments Enable your business analysts to ask and answer bigger questions

Complement Your Existing Data Warehouse with Big Data & Hadoop

Datameer

The Future of Data Management: The Enterprise Data Hub

Cloudera, Inc.

The Increasing Criticality of MDM for Personalization for Customers and Employees Master data management seems to be one of those perennial, evergreen programs that organizations continue to struggle with. Every couple of years people say, “we're going to get a handle on our master data” and then spend hundreds of thousands to millions and tens of millions of dollars working toward a solution. The challenge is that many of these solutions are not really getting to the root cause of the problem. They start with technology and begin by looking at specific data elements rather than looking at the business concepts that are important to the organization. MDM programs are also difficult to anchor on a specific business value proposition such as improving the top line. Many initiatives are so deep in the weeds and so far upstream that executives lose interest and they lose faith in the business value that the project promises. Meanwhile frustrated data analysts, data architects and technology organizations feel cut off at the knees because they can't get the funding, support and attention that they need to be successful. We've seen this time after time and until senior executives recognize the value and envision where the organization can go with control over its data across domains, this will continue to happen over and over again. Executives all nod their heads and say “Yes! Data is important, really important!” But when they see the price tag they say, “Whoa hold on there, it's not that important”. Well, actually, it is that important. We can't forget that under all of the systems, processes and shiny new technologies such as artificial intelligence and machine learning lies data. And that data is more important than the algorithm. If you have bad data your AI is not going to be able to fix it. Yes there are data remediation applications and there are mechanisms to harmonize or normalize certain data elements. But looking at this holistically requires human judgment: understanding business processes, understanding data flows, understanding dependencies and understanding of the entire customer experience ecosystem and the role of upstream tools, technologies and processes that enable that customer experience. Until we take that holistic approach and connect it to business value these things are not going to get the time, attention and resources that they need. Seth Earley, Founder & CEO, Earley Information Science Dan O'Connor, Senior Product Manager at inriver

EIS-Webinar-MDM-Personalization-2023-03-15.pdf

Earley Information Science

Similar a Webinar - Big Data: Power to the User (20)

Online Fraud Detection Using Big Data Analytics Webinar

Instant Visualizations in Every Step of Analysis

Customer Case Studies of Self-Service Big Data Analytics

Fight Fraud with Big Data Analytics

Making Hadoop based analytics simple for everyone to use

Transform Banking with Big Data and Automated Machine Learning 9.12.17

Analyzing Unstructured Data in Hadoop Webinar

Understanding Customer Buying Journey with Big Data

Standing Up an Effective Enterprise Data Hub -- Technology and Beyond

Webinar - Introducing Datameer 4.0: Visual, End-to-End

The Journey to Success with Big Data

James Mesney_"Datameer's Big Data Analytics Platform"_April 9th_Data Enthusia...

Four Key Considerations for your Big Data Analytics Strategy

Predictive analytics from a to z

Chanchal Chatterjee PARTNERS 2017 Oct24

Why spatial data governance is critical to your business strategy

Big data-analytics-ebook

Complement Your Existing Data Warehouse with Big Data & Hadoop

The Future of Data Management: The Enterprise Data Hub

EIS-Webinar-MDM-Personalization-2023-03-15.pdf

Más de Datameer

Why Use Hadoop for Big Data Analytics?

Datameer

Why Use Hadoop?

Datameer

BI, Hive or Big Data Analytics?

Datameer

How do you protect the data in big data analytics projects? As big data initiatives focus on volume, velocity or variety of data, often overlooked in the big data project is the security of the data. This is especially important for financial services, healthcare and government or anytime sensitive data is analyzed. This webinar highlights: *Hadoop security landscape *Hadoop encryption, masking, and access control *Customer examples of securing hadoop environments

Is Your Hadoop Environment Secure?

Datameer

Watch this recording at: http://info.datameer.com/Online-Slideshare-Lean-Production-Meets-Big-Data.html Sensor and robotic data will usher in a new wave of big data opportunities and use cases in 2014. This will be especially true in manufacturing as economic pressure to continuously improve operational efficiencies continue to challenge the bottom line. Join Lean Production Expert Conny von Ludwig (former Porsche Consulting & Lufthansa), and Datameer CEO, Stefan Groschupf as they discuss: -the current manufacturing challenges and how big data analytics can improve these inefficiencies -how to reduce production outages by 10% -a next gen big data analytic use case focused on manufacturing sensor data

Lean Production Meets Big Data: A Next Generation Use Case

Datameer

Watch the recorded event at: http://info.datameer.com/Slideshare- Economics-SQL-Hadoop.html As organizations clamor to utilize their new investments in Hadoop ecosystems AND leverage their existing analytical infrastructures, many rush to integrate SQL as a data access layer to leverage existing skill sets and get started faster. However, this approach relegates Hadoop to a data management and processing platform rather than the storage and compute engine optimized for analytical workloads it was purpose-built to be. These slides by EMA and Datameer, will discuss the technical limitations of SQL on Hadoop and propose alternative ways to fully maximize Hadoop investments. You will understanding: *how SQL negates the inherent benefits of Hadoop *why technological paradigm changes can sometimes be good *use cases when SQL on Hadoop makes sense

The Economics of SQL on Hadoop

Datameer

View the full recording of this deck here: http://info.datameer.com/Slideshare-Top-3-Things-to-Consider-for-Machine-Learning-on-Big-Data.html Machine learning is powerful but requires coding and access to all the relevant datasets to get full insights. With new Big Data analytic tools, business users can now use machine learning to gain a competitive edge. Based on best practices and customer experiences, join Datameer and Caserta Concepts as we discuss what to look for and what value organizations get out of Machine Learning on Big Data. This webinar will provide: *an overview of challenges and tools available today *use cases for machine learning on hadoop *capabilities to look for *comparison of available solutions

Top 3 Considerations for Machine Learning on Big Data

Datameer

Best Practices for Big Data Analytics with Machine Learning by Datameer

Datameer

http://www.datameer.com With data scientists in short supply, it’s surprising that much of their precious time is spent doing ”data plumbing”—preparing data or servicing business users rather than doing actual data science. Hadoop and self-service Smart Analytics is changing this reality. Join Matt Schumpert, Director of Solution Engineering at Datameer, as he walks through a real-world use case and discusses the evolution toward self-service data science, freeing data scientists to the hard work we so badly need.

How to do Data Science Without the Scientist

Datameer

http://www.datameer.com It is frustrating: even with petabytes of data on a Hadoop cluster, one still encounters situations where there’s a lack of key data for a wide variety of big data analytic use cases. You might have billions of clicks on your web site, but only a few users choose to rate a product. There might be millions of text documents on your cluster, but it is too expensive to have someone categorize more than a tiny fraction of them. In principle, this is where predictive modeling could help. For instance, one could learn a model to predict user ratings so you can better serve product recommendations based on those expected ratings. Or, one could create a model to automatically categorize text documents, saving countless hours and dollars. The main problem is that there is only a limited amount of training material (i.e. user ratings, categorized documents) and it is thus hard to generate good models. As it turns out, recent research on machine learning techniques has found a way to deal effectively with such situations with a technique called semi-supervised learning. These techniques are often able to leverage the vast amount of related, but unlabeled data to generate accurate models. In this talk, we will give an overview of the most common techniques including co-training regularization. We first explain the principles and underlying assumptions of semi-supervised learning and then show how to implement such methods with Hadoop.

How to do Predictive Analytics with Limited Data

Datameer

Más de Datameer (10)

Why Use Hadoop for Big Data Analytics?

Why Use Hadoop?

BI, Hive or Big Data Analytics?

Is Your Hadoop Environment Secure?

Lean Production Meets Big Data: A Next Generation Use Case

The Economics of SQL on Hadoop

Top 3 Considerations for Machine Learning on Big Data

Best Practices for Big Data Analytics with Machine Learning by Datameer

How to do Data Science Without the Scientist

How to do Predictive Analytics with Limited Data

Último

Architecting Cloud Native Applications

WSO2

💉💊+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHABI}}+971581248768 +971581248768 Mtp-Kit (500MG) Prices » Dubai [(+971581248768**)] Abortion Pills For Sale In Dubai, UAE, Mifepristone and Misoprostol Tablets Available In Dubai, UAE CONTACT DR.Maya Whatsapp +971581248768 We Have Abortion Pills / Cytotec Tablets /Mifegest Kit Available in Dubai, Sharjah, Abudhabi, Ajman, Alain, Fujairah, Ras Al Khaimah, Umm Al Quwain, UAE, Buy cytotec in Dubai +971581248768''''Abortion Pills near me DUBAI | ABU DHABI|UAE. Price of Misoprostol, Cytotec” +971581248768' Dr.DEEM ''BUY ABORTION PILLS MIFEGEST KIT, MISOPROTONE, CYTOTEC PILLS IN DUBAI, ABU DHABI,UAE'' Contact me now via What's App…… abortion Pills Cytotec also available Oman Qatar Doha Saudi Arabia Bahrain Above all, Cytotec Abortion Pills are Available In Dubai / UAE, you will be very happy to do abortion in Dubai we are providing cytotec 200mg abortion pill in Dubai, UAE. Medication abortion offers an alternative to Surgical Abortion for women in the early weeks of pregnancy. We only offer abortion pills from 1 week-6 Months. We then advise you to use surgery if its beyond 6 months. Our Abu Dhabi, Ajman, Al Ain, Dubai, Fujairah, Ras Al Khaimah (RAK), Sharjah, Umm Al Quwain (UAQ) United Arab Emirates Abortion Clinic provides the safest and most advanced techniques for providing non-surgical, medical and surgical abortion methods for early through late second trimester, including the Abortion By Pill Procedure (RU 486, Mifeprex, Mifepristone, early options French Abortion Pill), Tamoxifen, Methotrexate and Cytotec (Misoprostol). The Abu Dhabi, United Arab Emirates Abortion Clinic performs Same Day Abortion Procedure using medications that are taken on the first day of the office visit and will cause the abortion to occur generally within 4 to 6 hours (as early as 30 minutes) for patients who are 3 to 12 weeks pregnant. When Mifepristone and Misoprostol are used, 50% of patients complete in 4 to 6 hours; 75% to 80% in 12 hours; and 90% in 24 hours. We use a regimen that allows for completion without the need for surgery 99% of the time. All advanced second trimester and late term pregnancies at our Tampa clinic (17 to 24 weeks or greater) can be completed within 24 hours or less 99% of the time without the need surgery. The procedure is completed with minimal to no complications. Our Women's Health Center located in Abu Dhabi, United Arab Emirates, uses the latest medications for medical abortions (RU-486, Mifeprex, Mifegyne, Mifepristone, early options French abortion pill), Methotrexate and Cytotec (Misoprostol). The safety standards of our Abu Dhabi, United Arab Emirates Abortion Doctors remain unparalleled. They consistently maintain the lowest complication rates throughout the nation. Our Physicians and staff are always available to answer questions and care for women in one of the most difficult times in their lives. The decision to have an abortion at the Abortion Cl

+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...

?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@

💥 You’re lucky! We’ve found two different (lead) developers that are willing to share their valuable lessons learned about using UiPath Document Understanding! Based on recent implementations in appealing use cases at Partou and SPIE. Don’t expect fancy videos or slide decks, but real and practical experiences that will help you with your own implementations. 📕 Topics that will be addressed: • Training the ML-model by humans: do or don't? • Rule-based versus AI extractors • Tips for finding use cases • How to start 👨‍🏫👨‍💻 Speakers: o Dion Morskieft, RPA Product Owner @Partou o Jack Klein-Schiphorst, Automation Developer @Tacstone Technology

DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam

UiPathCommunity

"I see eyes in my soup": How Delivery Hero implemented the safety system for ...

Zilliz

Strategies for Landing an Oracle DBA Job as a Fresher

Remote DBA Services

Whatsapp Number Escorts Call girls 8617370543 Available 24x7 Mcleodganj Call Girls Service Offer Genuine VIP Model Escorts Call Girls in Your Budget. Mcleodganj Call Girls Service Provide Real Call Girls Number. Make Your Sexual Pleasure Memorable with Our Mcleodganj Call Girls at Affordable Price. Top VIP Escorts Call Girls, High Profile Independent Escorts Call Girls, Housewife Women Escorts Call Girl, College Girls Escorts Call Girls, Russian Escorts Call girls Service in Your Budget.

Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model

Deepika Singh

Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.

Why Teams call analytics are critical to your entire business

panagenda

Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar. In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you're building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Safe Software

The value of a flexible API Management solution for Open Banking Steve Melan, Manager for IT Innovation and Architecture - State's and Saving's Bank of Luxembourg Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - The value of a flexible API Management solution for O...

apidays

Elevate Developer Efficiency & build GenAI Application with Amazon Q

Bhuvaneswari Subramani

presentation ICT roal in 21st century education

jfdjdjcjdnsjd

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood

Juan lago vázquez

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Edi Saputra

Angeliki Cooney has spent over twenty years at the forefront of the life sciences industry, working out of Wynantskill, NY. She is highly regarded for her dedication to advancing the development and accessibility of innovative treatments for chronic diseases, rare disorders, and cancer. Her professional journey has centered on strategic consulting for biopharmaceutical companies, facilitating digital transformation, enhancing omnichannel engagement, and refining strategic commercial practices. Angeliki's innovative contributions include pioneering several software-as-a-service (SaaS) products for the life sciences sector, earning her three patents. As the Senior Vice President of Life Sciences at Avenga, Angeliki orchestrated the firm's strategic entry into the U.S. market. Avenga, a renowned digital engineering and consulting firm, partners with significant entities in the pharmaceutical and biotechnology fields. Her leadership was instrumental in expanding Avenga's client base and establishing its presence in the competitive U.S. market.

Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...

Angeliki Cooney

Following the popularity of “Cloud Revolution: Exploring the New Wave of Serverless Spatial Data,” we’re thrilled to announce this much-anticipated encore webinar. In this sequel, we’ll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you’re building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Safe Software

EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER

MadyBayot

Understanding the FAA Part 107 License ..

Christopher Logan Kennedy

Keynote 2: APIs in 2030: The Risk of Technological Sleepwalk Paolo Malinverno, Growth Advisor - The Business of Technology Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...

apidays

Boost Fertility New Invention Ups Success Rates.pdf

sudhanshuwaghmare1

Passkeys: Developing APIs to enable passwordless authentication Cody Salas, Sr Developer Advocate | Solutions Architect - Yubico Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...

apidays

Webinar - Big Data: Power to the User

1. Easier, Faster, Smarter

2. View Recording You can view the recording of this webinar at: http://info.datameer.com/Online-Slideshare- Big-Data-Power-to-the-User-OnDemand.html

3. About Our Speaker Karen Hsu @karenhsumar With over 15 years of experience in enterprise software, Karen Hsu has co- authored 4 patents and worked in a variety of engineering, marketing and sales roles. Most recently she came from Informatica where worked with the start-ups Informatica purchased to bring data quality, master data management, B2B and data security solutions to market. Karen has a Bachelors of Science degree in Management Science and Engineering from Stanford University. #datameer @karenhsumar !

4. Agenda ■ Business Value of Big Data Analytics ■ Technology ■ Example ■ Q&A #datameer @karenhsumar !

5. © 2013 Datameer, Inc. All rights reserved. Business Value of Big Data Analytics Customer Analytics Fraud & Compliance EDW Optimization Operational Analytics Increase Customer conversion by 3x Identify $2B in potential fraud 98% OpEx savings $1M+ CapEx savings Save $22,000 / minute #datameer @karenhsumar !

6. © 2013 Datameer, Inc. All rights reserved. How We Think About Big Data BEFORE! TODAY! Human Capital Human Capital Cost Hardware Costs Hardware Costs Low Data Complexity High Data Complexity #datameer @karenhsumar !

9. © 2013 Datameer, Inc. All rights reserved. BI vs. Big Data Analytics! ETL Data Warehouse Business Intelligence Raw Data! Flume/Sqoop/Hive! Database/Tableau! 12 months Fast! Dynamic! Simple! Raw Data Hadoop Drag & Drop Spreadsheet Less than 4 weeks #datameer @karenhsumar !

14. © 2013 Datameer, Inc. All rights reserved. Wizard-led Data Integration! Point-and-click Analytics! Self-Service Big Data Analytics! Drag-and-Drop Visualization! • No ETL! • 50+ Connectors + plug-in API! • Spreadsheet UI! • 240+ pre-built functions! • HTML5 support! • View on any device!

17. Example 1. Integrate 3. Analyze 4. Visualize 2. Prepare Identify Use Case Deploy #datameer @karenhsumar !

18. Integrate 3. Analyze 4. Visualize 2. Prepare 1. Integrate Identify Use Case Deploy #datameer @karenhsumar !

19. #datameer @karenhsumar !

20. Prepare 1. Integrate 3. Analyze 4. Visualize Identify Use Case Deploy 2. Prepare Proﬁle Identify Outliers Enrich Convert Transform #datameer @karenhsumar !

21. #datameer @karenhsumar !

22. Analyze 1. Integrate 4. Visualize 2. Prepare Identify Use Case Deploy 3. Analyze #datameer @karenhsumar !

23.

24. Visualize #datameer @karenhsumar 1. Integrate 3. Analyze 2. Prepare Identify Use Case Deploy 4. Visualize

25.

26. Deploy 1. Integrate 3. Analyze 4. Visualize 2. Prepare Identify Use Case Deploy #datameer @karenhsumar !

27.

28. Addressing Data Scientist Challenges in Workﬂow Multiple tools One platform Reproduce results Collaborate + Track Not for business Ease of Use #datameer @karenhsumar !

29. Contact Learn more For more information @karenhsumar khsu@datameer.com http://www.datameer.com/solutions/use- cases.html #datameer @karenhsumar !

30. Appendix

Webinar - Big Data: Power to the User

Recomendados

Recomendados

Más contenido relacionado

La actualidad más candente

La actualidad más candente (20)

Similar a Webinar - Big Data: Power to the User

Similar a Webinar - Big Data: Power to the User (20)

Más de Datameer

Más de Datameer (10)

Último

Último (20)

Webinar - Big Data: Power to the User