Contenu connexe
Similaire à Susheel Patel, Pivotal_Hadoop&SQL (20)
Susheel Patel, Pivotal_Hadoop&SQL
- 1. © 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
InterfacesPlatformServices
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
- 2. © 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
- 3. © 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