ttec - ParStream
-
Upload
marco-van-der-hart -
Category
Technology
-
view
1.266 -
download
0
description
Transcript of ttec - ParStream
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 [email protected]