Pivotal HAWQ, one of the world’s most advanced enterprise SQL on Hadoop technology, coupled with the Hortonworks Data Platform, the only 100% open source Apache Hadoop data platform, can turbocharge your analytic efforts. The slides from this technical webinar present a deep dive on this powerful modern data architecture for analytics and data science. Learn more here: http://pivotal.io/big-data/pivotal-hawq

1. 1© 2015 Pivotal Software, Inc. All rights reserved.

2. 2© 2015 Pivotal Software, Inc. All rights reserved.
Agenda
• Hortonworks Data Platform Overview
• Pivotal Big Data Suite Overview
• Pivotal HAWQ
• Demo
• Pivotal HAWQ & HDP Business Value and Use Cases
• Q&A
HAWQ

3. 3© 2015 Pivotal Software, Inc. All rights reserved.
Your Hosts
Parham Parvizi
PRODUCT MANAGER, PIVOTAL HAWQ, PIVOTAL
Parham Parvizi ​is a Product Manager​​ at Pivotal​, where​ he is
responsible for driving the technical product roadmap of ​the
company's flagship SQL on Hadoop product – Pivotal HAWQ.
Shivaji Dutta
DEVELOPER EVANGELIST / SR PARTNER SOLUTIONS
ENGINEERING, HORTONWORKS
Shivaji is Sr. Partner Engineer with Hortonworks. He has over
18 years of Software Development and Consulting Experience.

4. Page4 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Hadoop for the Enterprise:
Implement a Modern Data Architecture with HDP
Customer Momentum
• 437 customers (as of March 31, 2015)
• 105 customers added in Q1 2015
Hortonworks Data Platform
• Completely open multi-tenant platform for any app and any data.
• A centralized architecture of consistent enterprise services for
resource management, security, operations, and governance.
Partner for Customer Success
• Open source community leadership focus on enterprise needs
• Unrivaled world class support
• Founded in 2011
• Original 24 architects, developers,
operators of Hadoop from Yahoo!
• 600+ Employees
• 1100+ Ecosystem Partners

5. Page 5 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
HDP Makes Hadoop Enterprise-Ready
Hortonworks Data Platform
Multi-tenant data platform built on a centralized
architecture of shared enterprise services
YARN: data operating system
Governance Security
Operations
Resource management
Existing
applications
New
analytics
Partner
applications
Data access: batch, interactive, real-time
Storage
Key Benefits
• Consolidates all data sets
• Delivers real-time insights
• Integrates with data center
• Scalable and affordable

6. Page 6 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Hortonworks Data Platform

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SQL Engines on HDP
• Apache Hive + Tez + ORC
• Apache Phoenix
• Spark SQL (Tech Preview)
• HAWQ

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Pivotal and Hortonworks
• Joint engineering
Pivotal HD and HDP based on a common core
Pivotal HAWQ certified on HDP
• Co-founders of Open Data Platform
PIVOTAL AND HORTONWORKS
ARE STRONG DRIVERS OF
OPEN SOURCE SOFTWARE
PIVOTAL AND HORTONWORKS
ARE STRONG DRIVERS OF
OPEN SOURCE SOFTWARE
ODP#
(Enterprise Hardening)
Hortonworks
Data Platform
(HDP)
Pivotal Hadoop
Distribution
Other apps/tools*
*ex. Analytics apps and visualization tools
#OpenDataPlatform.org

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Pivotal HAWQ on HDP Certified

10. 10© 2015 Pivotal Software, Inc. All rights reserved.
BUSINESS
VALUE FROM DATA
Transforming companies into
data-driven enterprises with
open, agile, cloud-ready end-
to-end solutions
PLATFORM
AT YOUR SERVICE
Pioneering an open vision for
cloud-based, agile application
development
A BETTER WAY
TO BUILD PRODUCTS
World-class application
development services,
‘Pivots’, & transformative
methodologies
Cloud Foundry Big Data Suite Pivotal Labs
Pivotal – Business Groups

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12. 12© 2015 Pivotal Software, Inc. All rights reserved.
HAWQ + HDP
HDP
Open
Enterprise
Hadoop
Pivotal HAWQ
100%
ANSI SQL
Performance
Complex Query
Accessible
Pivotal HAWQ

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HAWQ + HDP Pivotal HAWQ
• Discover New Relationships
• Enable Data Science
• Analyze External Sources
• Query All Data Types!
Multi-level
Fault Tolerance
Granular
Authorization
Resource
Pools
High multi-tenancy
100% ANSI
SQL Standard
OLAP
Extensions
JDBC ODBC
Connectivity
MPP
Architecture
Online
Expansion
HDFS
Petabyte Scale
Cost Based Optimizer
Dynamic
Pipelining
ACID +
Transaction
al
Multi-Language
UDF Support
Built-in Data
Science
Library
Extensible
(PXF)
Query External
Sources
Hardened, 10+ Years Tested, Production Proven
Accessibility + Usability
HDFS Native
File Formats
• Manage Multiple Workloads
• Petabyte Scale Analytics
• Sub-second Performance
• Leverage Existing
Skills & Tools
• Easily Integrate with
Other Tools
Compression
+ Partitioning
core
compliance
• Well Integrated with
Hortonworks Data
Platform

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Reasons Why
Customers
Will Prefer
HDP + HAWQ
5
Pivotal HAWQ

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Reasons Why
Customers
Will Prefer
HDP + HAWQ
• Up to 30x SQL on Hadoop performance
advantage
• Faster time to insight
• Massive MPP scalability to petabytes
Benefits: Near real-time latency, complex
queries and advanced analytics
at scale
1. Advanced Analytics Performance Pivotal HAWQ
5

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Reasons Why
Customers
Will Prefer
HDP + HAWQ
• ANSI SQL-92, -99, -2003
• All 99 TPC-DS queries tested, no
modifications
• Plus, OLAP extensions
• Complete ACID integrity and reliability
Benefits: 100% SQL compliant
No risk to SQL applications
All native on HDP via HAWQ
2. 100% ANSI SQL Compliant Pivotal HAWQ
5

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Reasons Why
Customers
Will Prefer
HDP + HAWQ
• Advanced machine learning for big data
• Local, in database operation
• Exceptional MPP/parallel performance
• Open source, Postgres-based
Benefits: Advanced, highly scalable,
machine learning, directly on
HDP data
3. Integrated Machine Learning Pivotal HAWQ
5

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Reasons Why
Customers
Will Prefer
HDP + HAWQ
• HDP and Pivotal HD, easily managed via
Ambari
• On premises, in cloud, or PaaS
• Hbase, Avro, Parquet, ORC and more
• Plus, connectors to make HAWQ data
available to other SQL query tools
Benefits: Flexibility
Accessibility
Portability
4. Flexible Deployment Pivotal HAWQ
5

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Reasons Why
Customers
Will Prefer
HDP + HAWQ
• Cost-based query optimization
• Robust query plan optimization
• Complex big data management
Benefits: Optimize performance and costs
Maximize HDP cluster resources
Offload EDW without compromise
5. Query Optimization Options Pivotal HAWQ
5

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HAWQ over Competition - Impala
• 100% TPC-DS Compatible
• HAWQ completed 58/99 TPC-DS queries 12 hours faster!
• Multi-dimensional queries with subqueries, dynamic partition
elimination, large table joins, and roll-ups
• Higher concurrency
• Only partial ANSI-SQL compatibility
58/99 TPC-DS queries
• Exposure to application errors due
to SQL incompatibilities
• Single-dimension queries.
• No nesting, small table joins, no roll-ups
• Limited performance range
• No machine learning!
100%
ANSI
SQL
Querycomplexity&speedrequirements
+
-
0%
Pivotal HAWQ

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TPC-DS Results vs. Impala Pivotal HAWQ
HAWQ Faster
88% of queries
12 hours
Impala Faster
12% of queries
Subset of TPC-DS Queries Comparison of HAWQ vs. Impala
TPC-DS Queries
QueryRuntimeDifference(s)(+HAWQFaster/-ImpalaFaster)

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HAWQ Integration with Hive & Value-Add
 Query all Hive tables via PXF
 Easily move between HAWQ and Hive
 Value-Add:
– Application sub-second performance and faster time to insight
– Integration with traditional BI Reporting tools and complex machine generated
SQL
– Data Science driven application requiring built-in machine learning
– Large queries across multiple dataset to find new relationship and patterns
– Silo Analytical application with large ad-hoc users and high multi-tenancy
– Complex SQL statements with multi-level selects, partitions and rollups
+
Pivotal HAWQ

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Collaboration on support
Full SQL on Hadoop
Performance Leadership
Common ODP core
BDS + HDP
Focus on solution life-cycle
Exceptional performance, applications run
without SQL errors, leverage
existing SQL skills
No vendor lock-in protects investment and
grows ecosystem
Apache open source availability of software
Benefits Summary

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+
Open Enterprise Hadoop Powering Digital Transformation
Working together to digitally transform companies
into innovative enterprises

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