ParStream Big Data Analytics. One of the HPC competences of ttec Computer B.V & transtec AG.

1. Big Data Analytics
Marco 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
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ParStream Big Data Analytics © ttec 2012

4. Big Data Economy
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.
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)
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5. Hype Cycle for Emerging Technologies, 2012
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6. ParStream Big Data Analytics Platform
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
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7. Roadblocks
Established Databases vendors can’t deliver technical solutions
MapReduce can’t deliver Results in real-time
• Established Database Architectures were NOT designed for Big Data
• NoSQL approaches cannot deliver in real-time
• Extreme Performance can only
be achieve through Parallelization
• Supporting both Volume and
Speed has been unachievable
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8. Position
ParStream is made for interactive analytics on Big Real-Time Data
Competition:
•Vertica – No Partitioning
•Hadoop – Map Reduce approach
•Exasol – No Index
•Greenplum – No Index, Postgres based
•Netezza – Hardware bound
•Paraccel – No Index
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9. Orders of Magnitude Faster
ParStream Outperformes PostgreSQL by a factor of 1000
Delivering Results in Sub-Seconds on Large Data Volumes
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10. Market Opportunity
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11. High Performance Compessed Index
The Key to ParStream’s Unmatched Performance
Standard Database Index Architecture ParStream Index Architecture
- High Memory Requirements
+ Low Memory Requirements
- High Load on CPU’s
+ No Need for Decompression
- Time for Decompression
+ Patent filing in process
Not Suitable for Big Data Analytics Engineered for Big Data Analytics
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12. Parallel Architecture
ParStream overcomes limitations of traditional Data Warehouse Architectures
Standard DW Architecture ParStream Architecture
+ Each Query Uses
- Long Query Multiple Processor
Runtime Cores (CPU & GPU)
+ Query execution
- Frequent Full using compressed
indices
Table Scans
+ Continuous Import
- Data is at least Assures Timelines
1 Day Old
of Data
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13. Architecture Building Blocks
ParStream is a Big Data Analytics Platform
Based on a Unique High Performance Compressed Index
• Hybrid Columnar/Row Storage
• In Memory Technology
• Shared Nothing Architecture
• Standard Interfaces
• Unique High Performance
Compressed Index
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14. ParStream Unique Market advantages
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
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15. More information can be found at:
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
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ParStream Big Data Analytics © ttec 2012