Big Data Analytics
Marco van der Hart | Sales Specialist
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
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ParStream Big Data Analytics © ttec 2012
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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ParStream Big Data Analytics © ttec 2012
Hype Cycle for Emerging Technologies, 2012




                                             5
ParStream Big Data Analytics © ttec 2012
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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ParStream Big Data Analytics © ttec 2012
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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ParStream Big Data Analytics © ttec 2012
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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    ParStream Big Data Analytics © ttec 2012
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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ParStream Big Data Analytics © ttec 2012
Market Opportunity




                                           10
ParStream Big Data Analytics © ttec 2012
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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ParStream Big Data Analytics © ttec 2012
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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ParStream Big Data Analytics © ttec 2012
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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ParStream Big Data Analytics © ttec 2012
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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ParStream Big Data Analytics © ttec 2012
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

ttec - ParStream

  • 1.
    Big Data Analytics Marcovan der Hart | Sales Specialist
  • 2.
    Big Data isa 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 2 ParStream Big Data Analytics © ttec 2012
  • 3.
    3 ParStream Big DataAnalytics © ttec 2012
  • 4.
    Big Data Economy BigData 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) 4 ParStream Big Data Analytics © ttec 2012
  • 5.
    Hype Cycle forEmerging Technologies, 2012 5 ParStream Big Data Analytics © ttec 2012
  • 6.
    ParStream Big DataAnalytics 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 6 ParStream Big Data Analytics © ttec 2012
  • 7.
    Roadblocks Established Databases vendorscan’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 7 ParStream Big Data Analytics © ttec 2012
  • 8.
    Position ParStream is madefor 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 8 ParStream Big Data Analytics © ttec 2012
  • 9.
    Orders of MagnitudeFaster ParStream Outperformes PostgreSQL by a factor of 1000 Delivering Results in Sub-Seconds on Large Data Volumes 9 ParStream Big Data Analytics © ttec 2012
  • 10.
    Market Opportunity 10 ParStream Big Data Analytics © ttec 2012
  • 11.
    High Performance CompessedIndex 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 11 ParStream Big Data Analytics © ttec 2012
  • 12.
    Parallel Architecture ParStream overcomeslimitations 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 12 ParStream Big Data Analytics © ttec 2012
  • 13.
    Architecture Building Blocks ParStreamis 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 13 ParStream Big Data Analytics © ttec 2012
  • 14.
    ParStream Unique Marketadvantages 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 14 ParStream Big Data Analytics © ttec 2012
  • 15.
    More information canbe 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 15 ParStream Big Data Analytics © ttec 2012