susheel patel, pivotal_hadoop&sql

3
© Copyright 2013 Pivotal. All rights reserved. Application Design Blueprint for Organizations Hardware Compute/Storage/Network Software OS, Monitoring, Database Operations Data Data Management Data Access Application Applications Interfac es Platf orm Servi ces Factors How to get fastest ‘Time to Market’ Investment Leverage Integration with existing technology stack Architectural Impact Application features and application and technology architecture asks Scale Requirements Existing requirements on application scale Resource Investment Acquisition and training costs Business Transformation Changes needed to adopt the application. Application Life Investment return computations - How long the application will be in use Goal: Fastest ‘Time to Market’ Startup Enterprises Public Cloud Private Cloud On Premise

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Page 1: Susheel Patel, Pivotal_Hadoop&SQL

© Copyright 2013 Pivotal. All rights reserved.

Application Design Blueprint for Organizations

HardwareCompute/Storage/Network

SoftwareOS, Monitoring, Database

Operations

Data

Data Management

Data Access

Application

Applications

Inte

rfac

esP

latfo

rm

Ser

vic

es

Factors How to get fastest ‘Time to Market’

Investment Leverage Integration with existing technology stack

Architectural Impact Application features and application and technology architecture asks

Scale Requirements Existing requirements on application scale

Resource Investment Acquisition and training costs

Business Transformation

Changes needed to adopt the application.

Application Life Investment return computations - How long the application will be in use

Goal: Fastest ‘Time to Market’

Startup Enterprises

Public Cloud Private Cloud On Premise

Page 2: Susheel Patel, Pivotal_Hadoop&SQL

© Copyright 2013 Pivotal. All rights reserved.

Challenges Enterprises Face

Factors Description: Factors considered to get fastest ‘Time to Market’

Investment Leverage

Easy and Transparent Integration with existing technology stack

Architectural Impact

Extend existing application building design patterns

Scale Requirements

Average Scale requirements – Few are close to INTERNET scale

Resource Investment

Leverage existing working as much as possible – SQL as Business Analyst tool. Too hard to attract and acquire talent

Business Transformation

Adoption is a significant step to realize benefits. Lot of human involvement in enterprises. (Internet companies focus on decision automation).

Application Life Resilient application architecture and more stable business models

Enterprises find SQL to be very expressive for complex data analysis

Page 3: Susheel Patel, Pivotal_Hadoop&SQL

© Copyright 2013 Pivotal. All rights reserved.

HAWQ: The Crown Jewels of Greenplum Database

High Performance Query Processing– Multi-petabye scalability – Interactive and true ANSI SQL support– Programmable analytics

Enterprise Class Database Services– Column and Storage Indexes– Multiple table formats– Robust join support– Cost Based Query Planner – Security– Workload Management– Transactions & Data Skew

Comprehensive Data Management– Scatter-Gather Data Loading– Multi-level Partitioning– 3rd Party Tool & Open Client Interfaces

http://www.gopivotal.com/pivotal-products/pivotal-data-fabric/pivotal-hd

Expand the Productivity and Possibilities of Hadoop with Existing SQL Skillsets