How to Use Apache Zeppelin with HWX HDB

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Part five in a five-part series, this webcast will be a demonstration of the integration of Apache Zeppelin and Pivotal HDB. Apache Zeppelin is a web-based notebook that enables interactive data analytics. You can make beautiful data-driven, interactive and collaborative documents with SQL, Scala and more. This webinar will demonstrate the configuration of the psql interpreter and the basic operations of Apache Zeppelin when used in conjunction with Hortonworks HDB.

Tecnología

How to use Apache Zeppelin with
Hortonworks HDB
Dan Baskette
December 2016
HORTONWORKS
HDBPowered by Apache HAWQ

2© 2016 Pivotal Software, Inc. All rights reserved.
Agenda
● Hortonworks HDB/HAWQ
● Apache Zeppelin
● Demo
● Resources

3© 2016 Pivotal Software, Inc. All rights reserved.
What is HDB / Apache HAWQ ?
Hadoop-native SQL query engine and
advanced analytics MPP database that
offers high-performance interactive
query execution and machine learning
to Data Analysts & Data Scientists who
want to find insights in large/complex
datasets.
Pivotal HDB
HORTONWORKS
HDBPowered by Apache HAWQ

4© 2016 Pivotal Software, Inc. All rights reserved.
Advanced Analytics
Performance
Exceptional MPP performance, low latency,
ACID reliability, data federation
ANSI SQL Compliance
Higher degree of SQL compatibility, SQL-92,
99, 2003, OLAP (leverage existing SQL skills)
Advanced Query Optimizer
Maximize performance and
do advanced queries with confidence
Elastic Architecture for
Scalability
Scale-up/down or scale-in/out,
expand/shrink clusters on the fly
Integrated w/MADlib
Machine Learning
Advanced MPP analytics, data science at
scale, directly on Hadoop data
HDB / HAWQ Advantages
MAD

5© 2016 Pivotal Software, Inc. All rights reserved.
Apache MADlib: In-Database Machine Learning
• ApacheTM MADlib® (incubating) is an open-source library for scalable in-database
analytics
• Provides parallel implementations of mathematical, statistical and machine learning
methods for structured and unstructured data
• Supports Apache HAWQ, Greenplum Database and Postgres
• Analytics on all data in-database, without sampling (produces more accurate results, less
effort)
http://madlib.incubator.apache.org

6© 2016 Pivotal Software, Inc. All rights reserved.
• A web-based notebook that enables interactive
data analytics.
• Used to build data-driven, interactive and
collaborative documents with SQL, Scala and
more.
• Used for data ingestion, discovery, analytics,
visualization, and collaboration
• Very Extensible
Apache Zeppelin

7© 2016 Pivotal Software, Inc. All rights reserved.
• Any language/data processing
engine can be plugged into
Zeppelin
• Supports many engines out of the
box
• Support Apache HAWQ,
Greenplum Database, and
PostgreSQL via psql interpreter.
This interface will be merging with
JDBC interpreter.
Apache Zeppelin Interpreters

8© 2016 Pivotal Software, Inc. All rights reserved.
Apache Zeppelin Example

9© 2016 Pivotal Software, Inc. All rights reserved.
Learn more
http://hortonworks.com/apache/hawq/
Recording: http://hortonworks.com/webinar/use-apache-zeppelin-
hortonworks-hdb/

10© 2016 Pivotal Software, Inc. All rights reserved.

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Imagine a world where information flows as swiftly as thought itself, making decision-making as fluid as the data driving it. Every moment is critical, and the right tools can significantly boost your organization’s performance. The power of real-time data automation through FME can turn this vision into reality. Aimed at professionals eager to leverage real-time data for enhanced decision-making and efficiency, this webinar will cover the essentials of real-time data and its significance. We’ll explore: FME’s role in real-time event processing, from data intake and analysis to transformation and reporting An overview of leveraging streams vs. automations FME’s impact across various industries highlighted by real-life case studies Live demonstrations on setting up FME workflows for real-time data Practical advice on getting started, best practices, and tips for effective implementation Join us to enhance your skills in real-time data automation with FME, and take your operational capabilities to the next level.

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

Safe Software

Enterprise Knowledge’s Urmi Majumder, Principal Data Architecture Consultant, and Fernando Aguilar Islas, Senior Data Science Consultant, presented "Driving Behavioral Change for Information Management through Data-Driven Green Strategy" on March 27, 2024 at Enterprise Data World (EDW) in Orlando, Florida. In this presentation, Urmi and Fernando discussed a case study describing how the information management division in a large supply chain organization drove user behavior change through awareness of the carbon footprint of their duplicated and near-duplicated content, identified via advanced data analytics. Check out their presentation to gain valuable perspectives on utilizing data-driven strategies to influence positive behavioral shifts and support sustainability initiatives within your organization. In this session, participants gained answers to the following questions: - What is a Green Information Management (IM) Strategy, and why should you have one? - How can Artificial Intelligence (AI) and Machine Learning (ML) support your Green IM Strategy through content deduplication? - How can an organization use insights into their data to influence employee behavior for IM? - How can you reap additional benefits from content reduction that go beyond Green IM?

Driving Behavioral Change for Information Management through Data-Driven Gree...

Enterprise Knowledge

Data Cloud, More than a CDP by Matt Robison

Anna Loughnan Colquhoun

Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.

Exploring the Future Potential of AI-Enabled Smartphone Processors

debabhi2

This presentations targets students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many developer tools, platforms & APIs? This comprehensive yet still high-level overview outlines the most impactful tools for where to run your code, store & analyze your data. It will also inspire you as to what's possible. This talk is 50 minutes in length.

Powerful Google developer tools for immediate impact! (2023-24 C)

wesley chun

A Domino Admins Adventures (Engage 2024)

Gabriella Davis

Effective data discovery is crucial for maintaining compliance and mitigating risks in today's rapidly evolving privacy landscape. However, traditional manual approaches often struggle to keep pace with the growing volume and complexity of data. Join us for an insightful webinar where industry leaders from TrustArc and Privya will share their expertise on leveraging AI-powered solutions to revolutionize data discovery. You'll learn how to: - Effortlessly maintain a comprehensive, up-to-date data inventory - Harness code scanning insights to gain complete visibility into data flows leveraging the advantages of code scanning over DB scanning - Simplify compliance by leveraging Privya's integration with TrustArc - Implement proven strategies to mitigate third-party risks Our panel of experts will discuss real-world case studies and share practical strategies for overcoming common data discovery challenges. They'll also explore the latest trends and innovations in AI-driven data management, and how these technologies can help organizations stay ahead of the curve in an ever-changing privacy landscape.

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

TrustArc

How to Use Apache Zeppelin with HWX HDB

1. How to use Apache Zeppelin with Hortonworks HDB Dan Baskette December 2016 HORTONWORKS HDBPowered by Apache HAWQ

3. 3© 2016 Pivotal Software, Inc. All rights reserved. What is HDB / Apache HAWQ ? Hadoop-native SQL query engine and advanced analytics MPP database that offers high-performance interactive query execution and machine learning to Data Analysts & Data Scientists who want to find insights in large/complex datasets. Pivotal HDB HORTONWORKS HDBPowered by Apache HAWQ

4. 4© 2016 Pivotal Software, Inc. All rights reserved. Advanced Analytics Performance Exceptional MPP performance, low latency, ACID reliability, data federation ANSI SQL Compliance Higher degree of SQL compatibility, SQL-92, 99, 2003, OLAP (leverage existing SQL skills) Advanced Query Optimizer Maximize performance and do advanced queries with confidence Elastic Architecture for Scalability Scale-up/down or scale-in/out, expand/shrink clusters on the fly Integrated w/MADlib Machine Learning Advanced MPP analytics, data science at scale, directly on Hadoop data HDB / HAWQ Advantages MAD

5. 5© 2016 Pivotal Software, Inc. All rights reserved. Apache MADlib: In-Database Machine Learning • ApacheTM MADlib® (incubating) is an open-source library for scalable in-database analytics • Provides parallel implementations of mathematical, statistical and machine learning methods for structured and unstructured data • Supports Apache HAWQ, Greenplum Database and Postgres • Analytics on all data in-database, without sampling (produces more accurate results, less effort) http://madlib.incubator.apache.org

6. 6© 2016 Pivotal Software, Inc. All rights reserved. • A web-based notebook that enables interactive data analytics. • Used to build data-driven, interactive and collaborative documents with SQL, Scala and more. • Used for data ingestion, discovery, analytics, visualization, and collaboration • Very Extensible Apache Zeppelin

7. 7© 2016 Pivotal Software, Inc. All rights reserved. • Any language/data processing engine can be plugged into Zeppelin • Supports many engines out of the box • Support Apache HAWQ, Greenplum Database, and PostgreSQL via psql interpreter. This interface will be merging with JDBC interpreter. Apache Zeppelin Interpreters

How to Use Apache Zeppelin with HWX HDB

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