Driving the On-Demand Economy with Spark and Predictive Analytics

•Descargar como PPTX, PDF•

1 recomendación•736 vistas

Strata San Jose 2016 Keynote by Eric Frenkiel, CEO and Co-Founder, MemSQL

Datos y análisis

Driving the On-Demand Economy with
Spark and Predictive Analytics
Eric Frenkiel, CEO and Co-Founder
March 2016 San Jose

We live in an
on-demand
economy

Consumers
are now
conditioned
to instant
services

Data
scientists
need to carry
the world
forward

Too often
stuck with
batch
processing
and slow ETL

Slow Loading
Slow Queries
No Concurrency
On-going Data Processing Barriers

There is
a shift
underway…
the move to
real time

Introducing MemSQL 5
The Database Platform for Real-Time Analytics

Real-time
business
intelligence
Streamliner
programmable
pipelines
New code
generation with
LLVM

Real-time
dashboards
are just the
first step

Streamliner
real-time
pipelines and
predictive
analytics

Real-Time
Application
Real-
Time
Inputs
Apache Spark
STREAMLINER
Extract, Transform, Load

Hadoop
Apache Spark
STREAMLINER
Extending Hadoop to Real-Time Processing

Spark MLlib Predictive Model
Raw Sensor 1 + Predictive Score 1
Real-Time Scoring for Predictive Applications
ID S1 S2 P1 P2
1
…
Real-
Time
Inputs
Apache Spark
STREAMLINER
Business
Logic

Putting
Streamliner to
work for IoT
applications

Get the blueprint

Front OfficeBack Office

Real-TimeBatch

Predictive InsightHindsight

TUTORIAL 11:00AM ROOM 210
DASH FORWARD
From Descriptive to Predictive Analytics
Guest from Kellogg
Be sure to visit the MemSQL booth

Más contenido relacionado

La actualidad más candente

The Real-Time CDO and the Cloud-Forward Path to Predictive Analytics

The Real-Time CDO and the Cloud-Forward Path to Predictive Analytics

The Real-Time CDO and the Cloud-Forward Path to Predictive Analytics

Enabling Real-Time Analytics for IoT

Enabling Real-Time Analytics for IoT

Enabling Real-Time Analytics for IoT

The Fast Path to Building Operational Applications with Spark

The Fast Path to Building Operational Applications with Spark

The Fast Path to Building Operational Applications with Spark

Real-Time Analytics with Confluent and MemSQL

Real-Time Analytics with Confluent and MemSQL

Real-Time Analytics with Confluent and MemSQL

Modeling the Smart and Connected City of the Future with Kafka and Spark

Modeling the Smart and Connected City of the Future with Kafka and Spark

Modeling the Smart and Connected City of the Future with Kafka and Spark

Human-machine interaction is no longer the exclusive province of science fiction. The advance of the internet and connected devices has inspired data scientists to create machine-learning applications to extract value from these new forms of data. So what's the next frontier? Join MemSQL Engineer Michael Andrews and Sr. Director Mike Boyarski to learn how to use real-time data as a vehicle for operationalizing machine-learning models. Michael and Mike will explore advanced tools, including TensorFlow, Apache Spark, and Apache Kafka, and compelling use cases demonstrating the power of machine learning to effect positive change. You will learn: Top technologies for building the ideal machine-learning stack How to power machine-learning applications with real-time data A use case and demo of machine learning for social good

Machines and the Magic of Fast Learning

Machines and the Magic of Fast Learning

Machines and the Magic of Fast Learning

Driving the On-Demand Economy with Predictive Analytics

Driving the On-Demand Economy with Predictive Analytics

Driving the On-Demand Economy with Predictive Analytics

Building the Ideal Stack for Real-Time Analytics

Building the Ideal Stack for Real-Time Analytics

Building the Ideal Stack for Real-Time Analytics

Building Real-Time Data Pipelines with Kafka, Spark, and MemSQL

Building Real-Time Data Pipelines with Kafka, Spark, and MemSQL

Building Real-Time Data Pipelines with Kafka, Spark, and MemSQL

Tapjoy: Building a Real-Time Data Science Service for Mobile Advertising

Tapjoy: Building a Real-Time Data Science Service for Mobile Advertising

Tapjoy: Building a Real-Time Data Science Service for Mobile Advertising

Driving the On-Demand Economy with Predictive Analytics

Driving the On-Demand Economy with Predictive Analytics

Driving the On-Demand Economy with Predictive Analytics

As our customers tap into new sources of data or modify to existing data pipelines, we are often asked questions like: What technologies should we consider? Where can we reduce data latency? How can we simplify our data architecture? To eliminate the guesswork, we teamed up with Ben Lorica, Chief Data Scientist at O’Reilly Media to host a webcast centered around building real-time data pipelines.

O'Reilly Media Webcast: Building Real-Time Data Pipelines

O'Reilly Media Webcast: Building Real-Time Data Pipelines

O'Reilly Media Webcast: Building Real-Time Data Pipelines

Spark Summit East Keynote by Anjul Bhambhri

Spark Summit East Keynote by Anjul Bhambhri

Spark Summit East Keynote by Anjul Bhambhri

Zero Downtime App Deployment using Hadoop

Zero Downtime App Deployment using Hadoop

Zero Downtime App Deployment using Hadoop

DataWorks Summit/Hadoop Summit

The Impact of Always-on Connectivity for Geospatial Applications and Analysis

The Impact of Always-on Connectivity for Geospatial Applications and Analysis

The Impact of Always-on Connectivity for Geospatial Applications and Analysis

Machine Learning is not new, but its application across memory-optimized distributed systems has led to an explosion in both the number and capability of its uses. Pandora develops personalized content recommendations with machine learning algorithms, Tesla has produced the first widely distributed autonomous vehicle, and Amazon uses autonomous robots to move packages within its warehouses and even deliver packages. When coupled with real-time data, advanced analytics approaches like machine learning and deep learning create immediate business opportunities. Machine learning has never been more accessible—if your data pipelines support real-time analysis. Attendees will learn tools and techniques for integrating machine learning models across industries and organizations. Steven Camiña, MemSQL Product Manager, will walk through critical technologies needed in your technology ecosystem, including Python, Apache Kafka, Apache Spark, and a real-time database.

Building the Ideal Stack for Machine Learning

Building the Ideal Stack for Machine Learning

Building the Ideal Stack for Machine Learning

Real-Time Analytics with Spark and MemSQL

Real-Time Analytics with Spark and MemSQL

Real-Time Analytics with Spark and MemSQL

Building Software to Scale

Building Software to Scale

Building Software to Scale

Spark Summit Keynote by Shaun Connolly

Spark Summit Keynote by Shaun Connolly

Spark Summit Keynote by Shaun Connolly

Snaplogic Live: Big Data in Motion

Snaplogic Live: Big Data in Motion

Snaplogic Live: Big Data in Motion

La actualidad más candente (20)

The Real-Time CDO and the Cloud-Forward Path to Predictive Analytics

The Real-Time CDO and the Cloud-Forward Path to Predictive Analytics

The Real-Time CDO and the Cloud-Forward Path to Predictive Analytics

Enabling Real-Time Analytics for IoT

Enabling Real-Time Analytics for IoT

Enabling Real-Time Analytics for IoT

The Fast Path to Building Operational Applications with Spark

The Fast Path to Building Operational Applications with Spark

The Fast Path to Building Operational Applications with Spark

Real-Time Analytics with Confluent and MemSQL

Real-Time Analytics with Confluent and MemSQL

Real-Time Analytics with Confluent and MemSQL

Modeling the Smart and Connected City of the Future with Kafka and Spark

Modeling the Smart and Connected City of the Future with Kafka and Spark

Modeling the Smart and Connected City of the Future with Kafka and Spark

Machines and the Magic of Fast Learning

Machines and the Magic of Fast Learning

Machines and the Magic of Fast Learning

Driving the On-Demand Economy with Predictive Analytics

Driving the On-Demand Economy with Predictive Analytics

Driving the On-Demand Economy with Predictive Analytics

Building the Ideal Stack for Real-Time Analytics

Building the Ideal Stack for Real-Time Analytics

Building the Ideal Stack for Real-Time Analytics

Building Real-Time Data Pipelines with Kafka, Spark, and MemSQL

Building Real-Time Data Pipelines with Kafka, Spark, and MemSQL

Building Real-Time Data Pipelines with Kafka, Spark, and MemSQL

Tapjoy: Building a Real-Time Data Science Service for Mobile Advertising

Tapjoy: Building a Real-Time Data Science Service for Mobile Advertising

Tapjoy: Building a Real-Time Data Science Service for Mobile Advertising

Driving the On-Demand Economy with Predictive Analytics

Driving the On-Demand Economy with Predictive Analytics

Driving the On-Demand Economy with Predictive Analytics

O'Reilly Media Webcast: Building Real-Time Data Pipelines

O'Reilly Media Webcast: Building Real-Time Data Pipelines

O'Reilly Media Webcast: Building Real-Time Data Pipelines

Spark Summit East Keynote by Anjul Bhambhri

Spark Summit East Keynote by Anjul Bhambhri

Spark Summit East Keynote by Anjul Bhambhri

Zero Downtime App Deployment using Hadoop

Zero Downtime App Deployment using Hadoop

Zero Downtime App Deployment using Hadoop

The Impact of Always-on Connectivity for Geospatial Applications and Analysis

The Impact of Always-on Connectivity for Geospatial Applications and Analysis

The Impact of Always-on Connectivity for Geospatial Applications and Analysis

Building the Ideal Stack for Machine Learning

Building the Ideal Stack for Machine Learning

Building the Ideal Stack for Machine Learning

Real-Time Analytics with Spark and MemSQL

Real-Time Analytics with Spark and MemSQL

Real-Time Analytics with Spark and MemSQL

Building Software to Scale

Building Software to Scale

Building Software to Scale

Spark Summit Keynote by Shaun Connolly

Spark Summit Keynote by Shaun Connolly

Spark Summit Keynote by Shaun Connolly

Snaplogic Live: Big Data in Motion

Snaplogic Live: Big Data in Motion

Snaplogic Live: Big Data in Motion

Similar a Driving the On-Demand Economy with Spark and Predictive Analytics

Real-time is the next phase of big data. For the modern enterprise, processing and analyzing large volumes of data quickly is integral to success. MemSQL and Spark share design philosophies like memory-optimized data processing and scale out on commodity hardware that enable enterprises to build a real-time time data pipeline, where operational data is always online. This session shares hands-on 'how-to' recipes to build real-time pipelines around Apache Spark, with detailed production examples covered.

IMCSummit 2015 - Day 1 IT Business Track - From Spark to Ignition

IMCSummit 2015 - Day 1 IT Business Track - From Spark to Ignition

IMCSummit 2015 - Day 1 IT Business Track - From Spark to Ignition

In-Memory Computing Summit

DevOps for DataScience

DevOps for DataScience

DevOps for DataScience

Stepan Pushkarev

SnappyData Toronto Meetup Nov 2017

SnappyData Toronto Meetup Nov 2017

SnappyData Toronto Meetup Nov 2017

Application Modernization

Application Modernization

Application Modernization

There is an increasing need to unleash analytical capabilities directly to the end-users to democratize decision-making. User-Facing Analytics is a new frontier that will shape the products of tomorrow and push the limits of existing technology. It demands a solution that will scale to millions of users to provide fast, real-time insights. In this session, Xiang will talk about his journey to build Apache Pinot to tackle the analytics problem space with the architectural changes and technology inventions made over the past decade. He will also talk about how other big data companies such as LinkedIn, Uber, and Stripe power their user-facing analytical applications.

Data Democracy: Journey to User-Facing Analytics - Pulsar Summit SF 2022

Data Democracy: Journey to User-Facing Analytics - Pulsar Summit SF 2022

Data Democracy: Journey to User-Facing Analytics - Pulsar Summit SF 2022

Watch this talk here: https://www.confluent.io/online-talks/using-apache-kafka-to-optimize-real-time-analytics-financial-services-iot-applications When it comes to the fast-paced nature of capital markets and IoT, the ability to analyze data in real time is critical to gaining an edge. It’s not just about the quantity of data you can analyze at once, it’s about the speed, scale, and quality of the data you have at your fingertips. Modern streaming data technologies like Apache Kafka and the broader Confluent platform can help detect opportunities and threats in real time. They can improve profitability, yield, and performance. Combining Kafka with Panopticon visual analytics provides a powerful foundation for optimizing your operations. Use cases in capital markets include transaction cost analysis (TCA), risk monitoring, surveillance of trading and trader activity, compliance, and optimizing profitability of electronic trading operations. Use cases in IoT include monitoring manufacturing processes, logistics, and connected vehicle telemetry and geospatial data. This online talk will include in depth practical demonstrations of how Confluent and Panopticon together support several key applications. You will learn: -Why Apache Kafka is widely used to improve performance of complex operational systems -How Confluent and Panopticon open new opportunities to analyze operational data in real time -How to quickly identify and react immediately to fast-emerging trends, clusters, and anomalies -How to scale data ingestion and data processing -Build new analytics dashboards in minutes

Technical Deep Dive: Using Apache Kafka to Optimize Real-Time Analytics in Fi...

Technical Deep Dive: Using Apache Kafka to Optimize Real-Time Analytics in Fi...

Technical Deep Dive: Using Apache Kafka to Optimize Real-Time Analytics in Fi...

SnappyData @ Seattle Spark Meetup

SnappyData @ Seattle Spark Meetup

SnappyData @ Seattle Spark Meetup

Creating The Platform For Innovation (SAP Insider, Paul Marriott, @pmmarriott)

Creating The Platform For Innovation (SAP Insider, Paul Marriott, @pmmarriott)

Creating The Platform For Innovation (SAP Insider, Paul Marriott, @pmmarriott)

In spite of investments in big data lakes, there is wide use of expensive proprietary products for data ingestion, integration, and transformation (ETL) while bringing and processing data on the lake. Enterprises have successfully tested Apache Spark for its versatility and strengths as a distributed computing framework that can completely handle all needs for data processing, analytics, and machine learning workloads. Since the Hadoop distributions and the public cloud already include Apache Spark, there is nothing new to be procured. However, the skills required to put Spark to good use are typically unavailable today. In this webinar, we will discuss how Apache Spark can be an inexpensive enterprise backbone for all types of data processing workloads. We will also demo how a visual framework on top of Apache Spark makes it much more viable. The following scenarios will be covered: On-Prem Data quality and ETL with Apache Spark using pre-built operators Advanced monitoring of Spark pipelines On Cloud Visual interactive development of Apache Spark Structured Streaming pipelines IoT use-case with event-time, late-arrival and watermarks Python based predictive analytics running on Spark

Apache Spark – The New Enterprise Backbone for ETL, Batch Processing and Real...

Apache Spark – The New Enterprise Backbone for ETL, Batch Processing and Real...

Apache Spark – The New Enterprise Backbone for ETL, Batch Processing and Real...

Impetus Technologies

From Spark to Ignition: Fueling Your Business on Real-Time Analytics

From Spark to Ignition: Fueling Your Business on Real-Time Analytics

From Spark to Ignition: Fueling Your Business on Real-Time Analytics

WHY SAP Real Time Data Platform - RTDP

WHY SAP Real Time Data Platform - RTDP

WHY SAP Real Time Data Platform - RTDP

[Strata] Sparkta

[Strata] Sparkta

[Strata] Sparkta

From Spark to Ignition: Fueling Your Business on Real-Time Analytics

From Spark to Ignition: Fueling Your Business on Real-Time Analytics

From Spark to Ignition: Fueling Your Business on Real-Time Analytics

ERP Trends in 2022 and Beyond

ERP Trends in 2022 and Beyond

ERP Trends in 2022 and Beyond

Predrag Jakovljevic

First-generation stream processors, such as Apache Storm, wanted us to write code. It was a great start. However, when building real-world apps, which are used for a long time and evolve, writing code gets us into trouble. If we want to query a database or query data stored in storage with Hadoop, we use SQL. Why can't we query data streaming using SQL? We can. Almost all open source stream processors, including Storm, Flink, and Kafka, have switched to SQL. In this webinar, Srinath will talk about the evolution of stream processing, streaming SQL, the status quo, and what this means to stream applications. He will also dissect the experience of building streaming applications by exploring common patterns and pitfalls.

The Rise of Streaming SQL and Evolution of Streaming Applications

The Rise of Streaming SQL and Evolution of Streaming Applications

The Rise of Streaming SQL and Evolution of Streaming Applications

Polyglot Processing - An Introduction 1.0

Polyglot Processing - An Introduction 1.0

Polyglot Processing - An Introduction 1.0

Dr. Mohan K. Bavirisetty

Machine Learning Open Studio (ML-OS) is an interactive graphical interface that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. It provides a rich set of generic machine learning tasks that can be connected together to build either basic or complex machine learning workflows for various use cases such as: fraud detection, text analysis, online offer recommendations, prediction of equipment failures, facial expression analysis, etc. These tasks are open source and can be easily customized according to your needs. ML-OS can schedule and orchestrate executions while optimising the use of computational resources. Usage of resources (e.g. CPU, GPU, local, remote nodes) can be easily monitored.

Machine Learning open studio solution for data scientists & developers

Machine Learning open studio solution for data scientists & developers

Machine Learning open studio solution for data scientists & developers

Real time analytics for streaming application v1.2

Real time analytics for streaming application v1.2

Real time analytics for streaming application v1.2

Sridevi Murugayen

Ha100 notes units 1 and 2 sp08

Ha100 notes units 1 and 2 sp08

Ha100 notes units 1 and 2 sp08

This presentation outlines key business drivers for real-time analytics applications in retail and describes the emerging architectures based on In-Stream Processing (ISP) technologies. The slides present a complete open blueprint for an ISP platform - including a demo application for real-time Twitter Sentiment Analytics - designed with 100% open source components and deployable to any cloud. To learn more, read an adjoining blog series on this topic here : https://blog.griddynamics.com/in-stream-processing-service-blueprint

Open Blueprint for Real-Time Analytics in Retail: Strata Hadoop World 2017 S...

Open Blueprint for Real-Time Analytics in Retail: Strata Hadoop World 2017 S...

Open Blueprint for Real-Time Analytics in Retail: Strata Hadoop World 2017 S...

Similar a Driving the On-Demand Economy with Spark and Predictive Analytics (20)

IMCSummit 2015 - Day 1 IT Business Track - From Spark to Ignition

IMCSummit 2015 - Day 1 IT Business Track - From Spark to Ignition

IMCSummit 2015 - Day 1 IT Business Track - From Spark to Ignition

DevOps for DataScience

DevOps for DataScience

DevOps for DataScience

SnappyData Toronto Meetup Nov 2017

SnappyData Toronto Meetup Nov 2017

SnappyData Toronto Meetup Nov 2017

Application Modernization

Application Modernization

Application Modernization

Data Democracy: Journey to User-Facing Analytics - Pulsar Summit SF 2022

Data Democracy: Journey to User-Facing Analytics - Pulsar Summit SF 2022

Data Democracy: Journey to User-Facing Analytics - Pulsar Summit SF 2022

Technical Deep Dive: Using Apache Kafka to Optimize Real-Time Analytics in Fi...

Technical Deep Dive: Using Apache Kafka to Optimize Real-Time Analytics in Fi...

Technical Deep Dive: Using Apache Kafka to Optimize Real-Time Analytics in Fi...

SnappyData @ Seattle Spark Meetup

SnappyData @ Seattle Spark Meetup

SnappyData @ Seattle Spark Meetup

Creating The Platform For Innovation (SAP Insider, Paul Marriott, @pmmarriott)

Creating The Platform For Innovation (SAP Insider, Paul Marriott, @pmmarriott)

Creating The Platform For Innovation (SAP Insider, Paul Marriott, @pmmarriott)

Apache Spark – The New Enterprise Backbone for ETL, Batch Processing and Real...

Apache Spark – The New Enterprise Backbone for ETL, Batch Processing and Real...

Apache Spark – The New Enterprise Backbone for ETL, Batch Processing and Real...

From Spark to Ignition: Fueling Your Business on Real-Time Analytics

From Spark to Ignition: Fueling Your Business on Real-Time Analytics

From Spark to Ignition: Fueling Your Business on Real-Time Analytics

WHY SAP Real Time Data Platform - RTDP

WHY SAP Real Time Data Platform - RTDP

WHY SAP Real Time Data Platform - RTDP

[Strata] Sparkta

[Strata] Sparkta

[Strata] Sparkta

From Spark to Ignition: Fueling Your Business on Real-Time Analytics

From Spark to Ignition: Fueling Your Business on Real-Time Analytics

From Spark to Ignition: Fueling Your Business on Real-Time Analytics

ERP Trends in 2022 and Beyond

ERP Trends in 2022 and Beyond

ERP Trends in 2022 and Beyond

The Rise of Streaming SQL and Evolution of Streaming Applications

The Rise of Streaming SQL and Evolution of Streaming Applications

The Rise of Streaming SQL and Evolution of Streaming Applications

Polyglot Processing - An Introduction 1.0

Polyglot Processing - An Introduction 1.0

Polyglot Processing - An Introduction 1.0

Machine Learning open studio solution for data scientists & developers

Machine Learning open studio solution for data scientists & developers

Machine Learning open studio solution for data scientists & developers

Real time analytics for streaming application v1.2

Real time analytics for streaming application v1.2

Real time analytics for streaming application v1.2

Ha100 notes units 1 and 2 sp08

Ha100 notes units 1 and 2 sp08

Ha100 notes units 1 and 2 sp08

Open Blueprint for Real-Time Analytics in Retail: Strata Hadoop World 2017 S...

Open Blueprint for Real-Time Analytics in Retail: Strata Hadoop World 2017 S...

Open Blueprint for Real-Time Analytics in Retail: Strata Hadoop World 2017 S...

Más de SingleStore

Five ways database modernization simplifies your data life

Five ways database modernization simplifies your data life

Five ways database modernization simplifies your data life

How Kafka and Modern Databases Benefit Apps and Analytics

How Kafka and Modern Databases Benefit Apps and Analytics

How Kafka and Modern Databases Benefit Apps and Analytics

Architecting Data in the AWS Ecosystem

Architecting Data in the AWS Ecosystem

Architecting Data in the AWS Ecosystem

Building the Foundation for a Latency-Free Life

Building the Foundation for a Latency-Free Life

Building the Foundation for a Latency-Free Life

Converging Database Transactions and Analytics

Converging Database Transactions and Analytics

Converging Database Transactions and Analytics

Building a Machine Learning Recommendation Engine in SQL

Building a Machine Learning Recommendation Engine in SQL

Building a Machine Learning Recommendation Engine in SQL

MemSQL 201: Advanced Tips and Tricks Webcast

MemSQL 201: Advanced Tips and Tricks Webcast

MemSQL 201: Advanced Tips and Tricks Webcast

Introduction to MemSQL

Introduction to MemSQL

Introduction to MemSQL

An Engineering Approach to Database Evaluations

An Engineering Approach to Database Evaluations

An Engineering Approach to Database Evaluations

Building a Fault Tolerant Distributed Architecture

Building a Fault Tolerant Distributed Architecture

Building a Fault Tolerant Distributed Architecture

Stream Processing with Pipelines and Stored Procedures

Stream Processing with Pipelines and Stored Procedures

Stream Processing with Pipelines and Stored Procedures

Curriculum Associates Strata NYC 2017

Curriculum Associates Strata NYC 2017

Curriculum Associates Strata NYC 2017

Learn how to leverage MPP technology and distributed data to deliver high volume transactional and analytical work loads which result in real time dashboards on rapidly changing data using standard SQL tools. Demonstrations will include the streaming of structured and JSON data from Kafka messages through a micro-batch ETL process into the MemSQL database where the data is then queried using standard SQL tools and visualized leveraging Tableau. This session will focus on image recognition, the techniques available, and how to put those techniques into production. It will further explore algebraic operations on tensors, and how that can assist in large-scale, high-throughput, highly-parallel image recognition. LIVE DEMO: Constructing and executing a real-time image recognition pipeline using Kafka and Spark. Speaker: Neil Dahlke, MemSQL Senior Solutions Engineer

Image Recognition on Streaming Data

Image Recognition on Streaming Data

Image Recognition on Streaming Data

Spark Summit Dublin 2017 - MemSQL - Real-Time Image Recognition

Spark Summit Dublin 2017 - MemSQL - Real-Time Image Recognition

Spark Summit Dublin 2017 - MemSQL - Real-Time Image Recognition

The State of the Data Warehouse in 2017 and Beyond

The State of the Data Warehouse in 2017 and Beyond

The State of the Data Warehouse in 2017 and Beyond

How Database Convergence Impacts the Coming Decades of Data Management

How Database Convergence Impacts the Coming Decades of Data Management

How Database Convergence Impacts the Coming Decades of Data Management

Teaching Databases to Learn in the World of AI

Teaching Databases to Learn in the World of AI

Teaching Databases to Learn in the World of AI

Gartner Catalyst 2017: The Data Warehouse Blueprint for ML, AI, and Hybrid Cloud

Gartner Catalyst 2017: The Data Warehouse Blueprint for ML, AI, and Hybrid Cloud

Gartner Catalyst 2017: The Data Warehouse Blueprint for ML, AI, and Hybrid Cloud

Gartner Catalyst 2017: Image Recognition on Streaming Data

Gartner Catalyst 2017: Image Recognition on Streaming Data

Gartner Catalyst 2017: Image Recognition on Streaming Data

Spark Summit West 2017: Real-Time Image Recognition with MemSQL and Spark

Spark Summit West 2017: Real-Time Image Recognition with MemSQL and Spark

Spark Summit West 2017: Real-Time Image Recognition with MemSQL and Spark

Más de SingleStore (20)

Five ways database modernization simplifies your data life

Five ways database modernization simplifies your data life

Five ways database modernization simplifies your data life

How Kafka and Modern Databases Benefit Apps and Analytics

How Kafka and Modern Databases Benefit Apps and Analytics

How Kafka and Modern Databases Benefit Apps and Analytics

Architecting Data in the AWS Ecosystem

Architecting Data in the AWS Ecosystem

Architecting Data in the AWS Ecosystem

Building the Foundation for a Latency-Free Life

Building the Foundation for a Latency-Free Life

Building the Foundation for a Latency-Free Life

Converging Database Transactions and Analytics

Converging Database Transactions and Analytics

Converging Database Transactions and Analytics

Building a Machine Learning Recommendation Engine in SQL

Building a Machine Learning Recommendation Engine in SQL

Building a Machine Learning Recommendation Engine in SQL

MemSQL 201: Advanced Tips and Tricks Webcast

MemSQL 201: Advanced Tips and Tricks Webcast

MemSQL 201: Advanced Tips and Tricks Webcast

Introduction to MemSQL

Introduction to MemSQL

Introduction to MemSQL

An Engineering Approach to Database Evaluations

An Engineering Approach to Database Evaluations

An Engineering Approach to Database Evaluations

Building a Fault Tolerant Distributed Architecture

Building a Fault Tolerant Distributed Architecture

Building a Fault Tolerant Distributed Architecture

Stream Processing with Pipelines and Stored Procedures

Stream Processing with Pipelines and Stored Procedures

Stream Processing with Pipelines and Stored Procedures

Curriculum Associates Strata NYC 2017

Curriculum Associates Strata NYC 2017

Curriculum Associates Strata NYC 2017

Image Recognition on Streaming Data

Image Recognition on Streaming Data

Image Recognition on Streaming Data

Spark Summit Dublin 2017 - MemSQL - Real-Time Image Recognition

Spark Summit Dublin 2017 - MemSQL - Real-Time Image Recognition

Spark Summit Dublin 2017 - MemSQL - Real-Time Image Recognition

The State of the Data Warehouse in 2017 and Beyond

The State of the Data Warehouse in 2017 and Beyond

The State of the Data Warehouse in 2017 and Beyond

How Database Convergence Impacts the Coming Decades of Data Management

How Database Convergence Impacts the Coming Decades of Data Management

How Database Convergence Impacts the Coming Decades of Data Management

Teaching Databases to Learn in the World of AI

Teaching Databases to Learn in the World of AI

Teaching Databases to Learn in the World of AI

Gartner Catalyst 2017: The Data Warehouse Blueprint for ML, AI, and Hybrid Cloud

Gartner Catalyst 2017: The Data Warehouse Blueprint for ML, AI, and Hybrid Cloud

Gartner Catalyst 2017: The Data Warehouse Blueprint for ML, AI, and Hybrid Cloud

Gartner Catalyst 2017: Image Recognition on Streaming Data

Gartner Catalyst 2017: Image Recognition on Streaming Data

Gartner Catalyst 2017: Image Recognition on Streaming Data

Spark Summit West 2017: Real-Time Image Recognition with MemSQL and Spark

Spark Summit West 2017: Real-Time Image Recognition with MemSQL and Spark

Spark Summit West 2017: Real-Time Image Recognition with MemSQL and Spark

Último

Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore Escorts Service Booking Contact Details :- WhatsApp Chat :- +91-7737669865 2-May-2024(SMW) Call Girls In Model Towh Bangalore +91-7737669865 !! Best Woman Seeking Man Call Girls Service, Escorts Service in Home Hotel in Bangalore NCR 24 Hours Available Service Call Girls, Contact Us +91-7737669865 (Any Time. Any Where) Call Girls in Bangalore, Noida, Gurgaon, Ghaziabad,Sexy Indian Female Escorts Service Bangalore NCRWelcome To Bangalore Escorts Service – An All Over New Bangalore Very Sexy Hot Call Girls Agency Service Escorts In South BangaloreNCRBangalore’s No. 1 High Profile Independent Female Escorts Service. We Provide Good Quality Educated Profile At Very Regnebal Price 100% Safe And Original.We Are Provide Escorts Service All OYO Hotels ,3*,4*,5* Star Hotel And Home Flat, Apartment. Guest-House. Services In -Call And Out – Call Both Are Services Available. 24Hrs. Any Time Any Where. In All Over Bangalore Noida Gurgaon Ghaziabad Faridabad.More Information And Contact Profile Real Pic Visit Our Website City Wise Escorts Service Agency.Good Looking Cheap And Best Models Girls U Can Get Best Click On Link……Night Call Girls Now In Hotel Le Meridien Gurgaon Near Female Escort One Shot — 5000/in call (time 1 hour), 6000/out call Two shot with one girl — 8000/in call (time 2 hour), 10000/out call Body to body massage with sex- 8000/in call (time 1 hour) Full night Service for one person– 12000/in call, 13000/out call (shot limit 3-4 shots) Full night Service for more than 1 person — please contact Us —7737669865 We are available 24*7 all days of the year. Call us — 7737669865 Thank you for Visiting.

Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...

Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore Escorts Service Booking Contact Details :- WhatsApp Chat :- +91-7737669865 2-May-2024(SMW) Call Girls In Model Towh Bangalore +91-7737669865 !! Best Woman Seeking Man Call Girls Service, Escorts Service in Home Hotel in Bangalore NCR 24 Hours Available Service Call Girls, Contact Us +91-7737669865 (Any Time. Any Where) Call Girls in Bangalore, Noida, Gurgaon, Ghaziabad,Sexy Indian Female Escorts Service Bangalore NCRWelcome To Bangalore Escorts Service – An All Over New Bangalore Very Sexy Hot Call Girls Agency Service Escorts In South BangaloreNCRBangalore’s No. 1 High Profile Independent Female Escorts Service. We Provide Good Quality Educated Profile At Very Regnebal Price 100% Safe And Original.We Are Provide Escorts Service All OYO Hotels ,3*,4*,5* Star Hotel And Home Flat, Apartment. Guest-House. Services In -Call And Out – Call Both Are Services Available. 24Hrs. Any Time Any Where. In All Over Bangalore Noida Gurgaon Ghaziabad Faridabad.More Information And Contact Profile Real Pic Visit Our Website City Wise Escorts Service Agency.Good Looking Cheap And Best Models Girls U Can Get Best Click On Link……Night Call Girls Now In Hotel Le Meridien Gurgaon Near Female Escort One Shot — 5000/in call (time 1 hour), 6000/out call Two shot with one girl — 8000/in call (time 2 hour), 10000/out call Body to body massage with sex- 8000/in call (time 1 hour) Full night Service for one person– 12000/in call, 13000/out call (shot limit 3-4 shots) Full night Service for more than 1 person — please contact Us —7737669865 We are available 24*7 all days of the year. Call us — 7737669865 Thank you for Visiting.

Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...

BabyOno dropshipping via API with DroFx.pptx

BabyOno dropshipping via API with DroFx.pptx

BabyOno dropshipping via API with DroFx.pptx

olyaivanovalion

Discover Why Less is More in B2B Research

Discover Why Less is More in B2B Research

Discover Why Less is More in B2B Research

Ravak dropshipping via API with DroFx.pptx

Ravak dropshipping via API with DroFx.pptx

Ravak dropshipping via API with DroFx.pptx

olyaivanovalion

FESE Capital Markets Fact Sheet 2024 Q1.pdf

FESE Capital Markets Fact Sheet 2024 Q1.pdf

FESE Capital Markets Fact Sheet 2024 Q1.pdf

MarinCaroMartnezBerg

Probability Grade 10 Third Quarter Lessons

Probability Grade 10 Third Quarter Lessons

Probability Grade 10 Third Quarter Lessons

Capstone Project on IBM Data Analytics Program

Capstone Project on IBM Data Analytics Program

Capstone Project on IBM Data Analytics Program

MoniSankarHazra

VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K to 25K High Profile Escorts In Pune Booking Now open +91- 8005736733 Why you Choose Us- +91- 8005736733 HOT⇄ 8005736733 Mr ashu ji Call Mr ashu Ji +91- 8005736733 (V030524]N) 𝐇𝐨𝐭𝐞𝐥 𝐑𝐨𝐨𝐦𝐬 𝐈𝐧𝐜𝐥𝐮𝐝𝐢𝐧𝐠 𝐑𝐚𝐭𝐞 𝐒𝐡𝐨𝐭𝐬/𝐇𝐨𝐮𝐫𝐲🆓 .█▬█⓿▀█▀ 𝐈𝐍𝐃𝐄𝐏𝐄𝐍𝐃𝐄𝐍𝐓 𝐆𝐈𝐑𝐋 𝐕𝐈𝐏 𝐄𝐒𝐂𝐎𝐑𝐓 Hello Guys ! High Profiles young Beauties and Good Looking standard Profiles Available , Enquire Now if you are interested in Hifi Service and want to get connect with someone who can understand your needs. Service offers you the most beautiful High Profile sexy independent female Escorts in genuine ✔✔✔ To enjoy with hot and sexy girls ✔✔✔ ★providing:- • Models • vip Models • Russian Models • Foreigner Models • TV Actress and Celebrities • Receptionist • Air Hostess • Call Center Working Girls/Women • Hi-Tech Co. Girls/Women • Housewife

VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...

VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...

VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...

Call me @ 9892124323 Cheap Rate Call Girls in Vashi with Real Photo 100% Secure

Call me @ 9892124323 Cheap Rate Call Girls in Vashi with Real Photo 100% Secure

Call me @ 9892124323 Cheap Rate Call Girls in Vashi with Real Photo 100% Secure

ELKO dropshipping via API with DroFx.pptx

ELKO dropshipping via API with DroFx.pptx

ELKO dropshipping via API with DroFx.pptx

olyaivanovalion

(Vivek)Call Us, 8448380779,Call girls in Delhi NCr – We Offer best in class call girls. escort Service At Affordable Price At low Rate with Space Night 8000 We Are One Of The Oldest Escort and Call girls Agencies in Delhi. You Will Find That Our Female Escorts Are Full Of Fun, Sexy And They Would Love Enjoy Your Company. We Have A Fantastic Selection Of Escort Ladies Available For In-Calls As Well As Out-Calls. Our Escorts Are Not Only Beautiful But All Have Great Personalities Making Them The Perfect Companion For Any Occasion. In-Call:- You Can Come At Our Place in Delhi Our place Which Is Very Clean Hygienic 100% safe Accommodation. Out-Call:- You have To Come Pick The Girl From My Place We Are Also Provide Door Step Services (Delhi Ncr, Noida, Gurgaon, Faridabad, Ghaziabad Note:- Pic Collectors Time Passers Bargainers Stay Away As We Respect The Value For Your Money Time And Expect The Same From You Hygienic:- Full Ac room And Clean Rooms Available In Hotel 24 * 7 Hourly In Delhi NCR More Details, With WhatsApp Number, +91-8448380779

BDSM⚡Call Girls in Mandawali Delhi >༒8448380779 Escort Service

BDSM⚡Call Girls in Mandawali Delhi >༒8448380779 Escort Service

BDSM⚡Call Girls in Mandawali Delhi >༒8448380779 Escort Service

Delhi Call girls

CebaBaby dropshipping via API with DroFX.pptx

CebaBaby dropshipping via API with DroFX.pptx

CebaBaby dropshipping via API with DroFX.pptx

olyaivanovalion

Klinik_ Apotek Onlin 085657271886 Solusi Menggugurkan Masalah Kehamilan Anda Jual Obat Aborsi Asli KLINIK ABORSI TERPEECAYA _ Jual Obat Aborsi Cytotec Misoprostol Asli 100% Ampuh Hanya 3 Jam Langsung Gugur || OBAT PENGGUGUR KANDUNGAN AMPUH MANJUR OBAT ABORSI OLINE" APOTIK Jual Obat Cytotec, Gastrul, Gynecoside Asli Ampuh. JUAL ” Obat Aborsi Tuntas | Obat Aborsi Manjur | Obat Aborsi Ampuh | Obat Penggugur Janin | Obat Pencegah Kehamilan | Obat Pelancar Haid | Obat terlambat Bulan | Ciri Obat Aborsi Asli | Obat Telat Bulan | Pil Aborsi Asli | Cara Menggugurkan Konten | Cara Aborsi Tuntas | Harga Obat Aborsi Asli | Pil Aborsi | Jual Obat Aborsi Cytotec | Cara Aborsi Sendiri | Cara Aborsi Usia 1 Bulan | Cara Aborsi Usia 2 Tahun | Cara Aborsi Usia 3 Bulan | Obat Aborsi Usia 4 Bulan | Cara Abrasi Usia 5 Bulan | Cara Menggugurkan Konten | Kandungan Obat Penggugur | Cara Menghitung Usia Konten | Cara Mengatasi Terlambat Bulan | Penjual Obat Aborsi Asli | Obat Aborsi Garansi | Kandungan Obat Peluntur | Obat Telat Datang Bulan | Obat Telat Haid | Obat Aborsi Paling Murah | Klinik Jual Obat Aborsi | Jual Pil Cytotec | Apotik Jual Obat Aborsi | Kandungan Dokter Abrasi | Cara Aborsi Cepat | Jual Obat Aborsi Bergaransi | Jual Obat Cytotec Asli | Obat Aborsi Aman Manjur | Obat Misoprostol Cytotec Asli. "APA ITU ABORSI" “Aborsi Adalah dengan membendung hormon yang di perlukan untuk mempertahankan kehamilan yaitu hormon progesteron, karena hormon ini dibendung, maka jalur kehamilan mulai membuka dan leher rahim menjadi melunak,sehingga mengeluarkan darah yang merupakan tanda bahwa obat telah bekerja || maksimal 1 jam obat diminum || PENJELASAN OBAT ABORSI USIA 1 _7 BULAN Pada usia kandungan ini, pasien akan merasakan sakit yang sedikit tidak berlebihan || sekitar 1 jam ||. namun hanya akan terjadi pada saatdarah keluar merupakan pertanda menstruasi. Hal ini dikarenakan pada usiakandungan 3 bulan,janin sudah terbentuk sebesar kepalan tangan orang dewasa. Cara kerja obat aborsi : JUAL OBAT ABORSI AMPUH dosis 3 bulan secara umum sama dengan cara kerja || DOSIS OBAT ABORSI 2 bulan”, hanya berbedanya selain mengisolasijanin juga menghancurkan janin dengan formula methotrexate dikandungdidalamnya. Formula methotrexate ini sangat ampuh untuk menghancurkan janinmenjadi serpihan-serpihan kecil akan sangat berguna pada saat dikeluarkan nanti. APA ALASAN WANITA MELAKUKAN ABORSI? Aborsi di lakukan wanita hamil baik yang sudah menikah maupun belum menikah dengan berbagai alasan , akan tetapi alasan yang utama adalah alasan-alasan non medis (termasuk aborsi sendiri / di sengaja/ buatan] MELAYANI PEMESANAN OBAT ABORSI SETIAP HARI, SIAP KIRIM KESELURUH KOTA BESAR DI INDONESIA DAN LUAR NEGERI. HUBUNGI PEMESANAN LEBIH NYAMAN VIA WA/: 085657271886

Jual Obat Aborsi Surabaya ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...

Jual Obat Aborsi Surabaya ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...

Jual Obat Aborsi Surabaya ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...

(NEHA) Call Girls Katra Call Now: 8617697112 Katra Escorts Booking Contact Details WhatsApp Chat: +91-8617697112 Katra Escort Service includes providing maximum physical satisfaction to their clients as well as engaging conversation that keeps your time enjoyable and entertaining. Plus, they look fabulously elegant, making an impression. Independent Escorts Katra understands the value of confidentiality and discretion; they will go the extra mile to meet your needs. Simply contact them via text messaging or through their online profiles; they'd be more than delighted to accommodate any request or arrange a romantic date or fun-filled night together. We provide:

(NEHA) Call Girls Katra Call Now 8617697112 Katra Escorts 24x7

(NEHA) Call Girls Katra Call Now 8617697112 Katra Escorts 24x7

(NEHA) Call Girls Katra Call Now 8617697112 Katra Escorts 24x7

Call Girls in Nagpur High Profile Call Girls

Digital advertising, or paid media, encompasses the strategic deployment of online advertisements to reach target audiences efficiently and effectively. This includes any digital platform that supports advertising to deliver unique messages for any objective. Understanding the mechanics of digital advertising platforms, along with insights into audience behaviors and preferences, allows marketers to optimize their ad spend and achieve significant engagement and conversion rates. This lecture is for Advanced Digital & Social Media Strategy (MGMTX 466.05) at UCLA Extension.

Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...

Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...

Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...

Valters Lauzums

Model Call Girl Services in Delhi reach out to us at 🔝 9953056974 🔝✔️✔️ Our agency presents a selection of young, charming call girls available for bookings at Oyo Hotels. Experience high-class escort services at pocket-friendly rates, with our female escorts exuding both beauty and a delightful personality, ready to meet your desires. Whether it's Housewives, College girls, Russian girls, Muslim girls, or any other preference, we offer a diverse range of options to cater to your tastes. We provide both in-call and out-call services for your convenience. Our in-call location in Delhi ensures cleanliness, hygiene, and 100% safety, while our out-call services offer doorstep delivery for added ease. We value your time and money, hence we kindly request pic collectors, time-passers, and bargain hunters to refrain from contacting us. Our services feature various packages at competitive rates: One shot: ₹2000/in-call, ₹5000/out-call Two shots with one girl: ₹3500/in-call, ₹6000/out-call Body to body massage with sex: ₹3000/in-call Full night for one person: ₹7000/in-call, ₹10000/out-call Full night for more than 1 person: Contact us at 🔝 9953056974 🔝. for details Operating 24/7, we serve various locations in Delhi, including Green Park, Lajpat Nagar, Saket, and Hauz Khas near metro stations. For premium call girl services in Delhi 🔝 9953056974 🔝. Thank you for considering us!

CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE

CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE

CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE

9953056974 Low Rate Call Girls In Saket, Delhi NCR

April 2024 - Crypto Market Report's Analysis

April 2024 - Crypto Market Report's Analysis

April 2024 - Crypto Market Report's Analysis

Anomaly detection and data imputation within time series

Anomaly detection and data imputation within time series

Anomaly detection and data imputation within time series

Paris Women in Machine Learning and Data Science

Mature dropshipping via API with DroFx.pptx

Mature dropshipping via API with DroFx.pptx

Mature dropshipping via API with DroFx.pptx

olyaivanovalion

Último (20)

Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...

Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...

BabyOno dropshipping via API with DroFx.pptx

BabyOno dropshipping via API with DroFx.pptx

BabyOno dropshipping via API with DroFx.pptx

Discover Why Less is More in B2B Research

Discover Why Less is More in B2B Research

Discover Why Less is More in B2B Research

Ravak dropshipping via API with DroFx.pptx

Ravak dropshipping via API with DroFx.pptx

Ravak dropshipping via API with DroFx.pptx

FESE Capital Markets Fact Sheet 2024 Q1.pdf

FESE Capital Markets Fact Sheet 2024 Q1.pdf

FESE Capital Markets Fact Sheet 2024 Q1.pdf

Probability Grade 10 Third Quarter Lessons

Probability Grade 10 Third Quarter Lessons

Probability Grade 10 Third Quarter Lessons

Capstone Project on IBM Data Analytics Program

Capstone Project on IBM Data Analytics Program

Capstone Project on IBM Data Analytics Program

VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...

VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...

VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...

Call me @ 9892124323 Cheap Rate Call Girls in Vashi with Real Photo 100% Secure

Call me @ 9892124323 Cheap Rate Call Girls in Vashi with Real Photo 100% Secure

Call me @ 9892124323 Cheap Rate Call Girls in Vashi with Real Photo 100% Secure

ELKO dropshipping via API with DroFx.pptx

ELKO dropshipping via API with DroFx.pptx

ELKO dropshipping via API with DroFx.pptx

BDSM⚡Call Girls in Mandawali Delhi >༒8448380779 Escort Service

BDSM⚡Call Girls in Mandawali Delhi >༒8448380779 Escort Service

BDSM⚡Call Girls in Mandawali Delhi >༒8448380779 Escort Service

CebaBaby dropshipping via API with DroFX.pptx

CebaBaby dropshipping via API with DroFX.pptx

CebaBaby dropshipping via API with DroFX.pptx

Jual Obat Aborsi Surabaya ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...

Jual Obat Aborsi Surabaya ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...

Jual Obat Aborsi Surabaya ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...

(NEHA) Call Girls Katra Call Now 8617697112 Katra Escorts 24x7

(NEHA) Call Girls Katra Call Now 8617697112 Katra Escorts 24x7

(NEHA) Call Girls Katra Call Now 8617697112 Katra Escorts 24x7

Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...

Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...

Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...

CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE

CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE

CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE

April 2024 - Crypto Market Report's Analysis

April 2024 - Crypto Market Report's Analysis

April 2024 - Crypto Market Report's Analysis

Anomaly detection and data imputation within time series

Anomaly detection and data imputation within time series

Anomaly detection and data imputation within time series

Mature dropshipping via API with DroFx.pptx

Mature dropshipping via API with DroFx.pptx

Mature dropshipping via API with DroFx.pptx

Driving the On-Demand Economy with Spark and Predictive Analytics

1. Driving the On-Demand Economy with Spark and Predictive Analytics Eric Frenkiel, CEO and Co-Founder March 2016 San Jose

2. We live in an on-demand economy

3. Consumers are now conditioned to instant services

4. Data scientists need to carry the world forward

5. Too often stuck with batch processing and slow ETL

6. Slow Loading Slow Queries No Concurrency On-going Data Processing Barriers

7. There is a shift underway… the move to real time

8. Introducing MemSQL 5 The Database Platform for Real-Time Analytics

9. Real-time business intelligence Streamliner programmable pipelines New code generation with LLVM

10.

11. Real-time dashboards are just the first step

12. Streamliner real-time pipelines and predictive analytics

13. Real-Time Application Real- Time Inputs Apache Spark STREAMLINER Extract, Transform, Load

14. Hadoop Apache Spark STREAMLINER Extending Hadoop to Real-Time Processing

15. Spark MLlib Predictive Model Raw Sensor 1 + Predictive Score 1 Real-Time Scoring for Predictive Applications ID S1 S2 P1 P2 1 … Real- Time Inputs Apache Spark STREAMLINER Business Logic

16. Putting Streamliner to work for IoT applications

17.

18. Get the blueprint

19. Front OfficeBack Office

20. Real-TimeBatch

21. Predictive InsightHindsight

22. TUTORIAL 11:00AM ROOM 210 DASH FORWARD From Descriptive to Predictive Analytics Guest from Kellogg Be sure to visit the MemSQL booth