Big Data AnalyticsMarco van der Hart | Sales Specialist

2

Big Data is a disruptive trend that will change Enterprises fundamentally – or they will go out of business

ParStream is THE Big Data Analytics Platform

ParStream enables Enterprises to exploit Big Data opportunities

And beat the competition by speed of implementation and

operation

ParStream Big Data Analytics © ttec 2012

3ParStream Big Data Analytics © ttec 2012

Big Data Economy

4

Big Data changes the way enterprises are doing business. Without Big Data adoption, enterprises will go out of business. Big Data is a Multi-Billion market and growing very fast.

ParStream Big Data Analytics © ttec 2012

Big Data Market: •$ 70+ billion industry and growing at a rate of 15 – 20% per year (Source EMC) •In 2012 Digital data will grow to 2.7 ZetaByte, up 48% from 2011 (Source IDC) •Big Data worth billions in increased sales and productivity across industries(Source McKinsey)

Hype Cycle for Emerging Technologies, 2012

5ParStream Big Data Analytics © ttec 2012

ParStream Big Data Analytics Platform

6ParStream Big Data Analytics © ttec 2012

ParStream Enpowers People in All Industries to Capture New Business Opportunities Evolving with Big Data

1. Analyse and Filter Billions of Records

2. Query Data Structures with 1000’s of columns

3. Get Answers in Milliseconds without Cubes

4. Continuously Import Data with Low Latency

5. Execute 1000’s of Concurrent Queries

Roadblocks

7

• Established Database Architectures were NOT designed for Big Data

• NoSQL approaches cannot deliver in real-time

• Extreme Performance can onlybe achieve through Parallelization

• Supporting both Volume and Speed has been unachievable

ParStream Big Data Analytics © ttec 2012

Established Databases vendors can’t deliver technical solutions MapReduce can’t deliver Results in real-time

Position

8

Competition: •Vertica – No Partitioning •Hadoop – Map Reduce approach •Exasol – No Index •Greenplum – No Index, Postgres based •Netezza – Hardware bound •Paraccel – No Index

ParStream Big Data Analytics © ttec 2012

ParStream is made for interactive analytics on Big Real-Time Data

Orders of Magnitude Faster

9

ParStream Outperformes PostgreSQL by a factor of 1000 Delivering Results in Sub-Seconds on Large Data Volumes

ParStream Big Data Analytics © ttec 2012

Market Opportunity

10ParStream Big Data Analytics © ttec 2012

High Performance Compessed Index

11

The Key to ParStream’s Unmatched Performance

ParStream Big Data Analytics © ttec 2012

Standard Database Index Architecture ParStream Index Architecture

- High Memory Requirements - High Load on CPU’s - Time for Decompression Not Suitable for Big Data Analytics

+ Low Memory Requirements + No Need for Decompression + Patent filing in process

Engineered for Big Data Analytics

- Long Query Runtime

- Frequent Full Table Scans

- Data is at least 1 Day Old

Parallel Architecture

12

ParStream overcomes limitations of traditional Data Warehouse Architectures

ParStream Big Data Analytics © ttec 2012

Standard DW Architecture ParStream Architecture+ Each Query Uses

Multiple Processor Cores (CPU & GPU)

+ Query execution using compressed indices

+ Continuous Import Assures Timelines of Data

Architecture Building Blocks

13

ParStream is a Big Data Analytics Platform Based on a Unique High Performance Compressed Index

ParStream Big Data Analytics © ttec 2012

• Hybrid Columnar/Row Storage • In Memory Technology • Shared Nothing Architecture • Standard Interfaces • Unique High Performance

Compressed Index

ParStream Unique Market advantages

14ParStream Big Data Analytics © ttec 2012

Unique Features:

• High Performance Indexing Technology • Efficient Parallel processing (on CPU’s and GPU’s) • Data and Index In-Memory Technology • Continuous Import

Benefits: • Fast, even with billions of records • Scales linearly up to petabytes • Real-Time analysis • Reduction in infrastructure and energy needs

More information can be found at:

15ParStream Big Data Analytics © ttec 2012

http://www.ttec.nl/en/high-performance-computing/parstream http://www.parstream.com/en/home/index.html Or contact your ttec sales specialist at: +31 (0)24 3434 210 mvdhart@ttec.nl