BLU Acceleration: Delivering Speed of Thought Analytics

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Big data poses big challenges for accessing and analyzing information. BLU Acceleration from IBM delivers speed of thought analytics that help you make better decisions faster. See BLU Acceleration’s innovative dynamic in-memory processing, actionable compression, parallel vector processing and data skipping. Learn how to get started using your existing infrastructure and skills.

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BLU Acceleration: Delivering Speed of Thought Analytics

  1. 1. Introducing New BLU Acceleration from IBM
  2. 2. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU “We have for the first time an economy based on a key resource [Information] that is not only renewable, but self-generating. Running out of it is not a problem, but drowning in it is.” - John Naisbitt, Author and Futurist
  3. 3. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU To stay ahead of this big data explosion, we need to:
  4. 4. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU Analyze more data, faster To stay ahead of this big data explosion, we need to:
  5. 5. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU Analyze more data, faster Simplify set up and use To stay ahead of this big data explosion, we need to:
  6. 6. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU Analyze more data, faster Simplify set up and use Support existing systems To stay ahead of this big data explosion, we need to:
  7. 7. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU Analyze more data, faster Simplify set up and use Support existing systems Use existing skills To stay ahead of this big data explosion, we need to:
  8. 8. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU Analyze more data, faster Simplify set up and use Support existing systems Use existing skills Eliminate need for code changes To stay ahead of this big data explosion, we need to:
  9. 9. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU In other words, make it super fast and super easy to access and analyze big data.
  10. 10. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU Introducing BLU Acceleration from IBM: A new generation of data management innovation capable of delivering speed of thought analytics.
  11. 11. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU Testing of BLU Acceleration shows:* *Based on internal IBM testing of sample analytic workloads comparing queries accessing row-based tables on DB2 10.1 vs. columnar tables on DB2 10.5. Performance improvement figures are cumulative of all queries in the workload. Individual results will vary depending on individual workloads, configurations and conditions.
  12. 12. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU Faster reporting and analytics 258times Testing of BLU Acceleration shows:* *Based on internal IBM testing of sample analytic workloads comparing queries accessing row-based tables on DB2 10.1 vs. columnar tables on DB2 10.5. Performance improvement figures are cumulative of all queries in the workload. Individual results will vary depending on individual workloads, configurations and conditions.
  13. 13. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU Faster reporting and analytics 258times Storage space savings 01times Testing of BLU Acceleration shows:* *Based on internal IBM testing of sample analytic workloads comparing queries accessing row-based tables on DB2 10.1 vs. columnar tables on DB2 10.5. Performance improvement figures are cumulative of all queries in the workload. Individual results will vary depending on individual workloads, configurations and conditions.
  14. 14. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU “We were very impressed with the performance and simplicity of BLU. We found that some queries achieved an almost 100x speed up with literally no tuning!” - Lennart Henäng, IT Architect, Handelsbanken
  15. 15. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU How does it work?
  16. 16. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU BLU Acceleration achieves top performance efficiency with:
  17. 17. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU Dynamic In-Memory In-memory columnar processing with dynamic movement of data from storage BLU Acceleration achieves top performance efficiency with:
  18. 18. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU Dynamic In-Memory Actionable Compression Patented compression technique that preserves order so data can be evaluated BLU Acceleration achieves top performance efficiency with:
  19. 19. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU Dynamic In-Memory Actionable Compression Parallel Vector Processing Multi-core and SIMD parallelism (Single Instruction Multiple Data) BLU Acceleration achieves top performance efficiency with:
  20. 20. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU Dynamic In-Memory Actionable Compression Parallel Vector Processing Data Skipping Skips processing of irrelevant data BLU Acceleration achieves top performance efficiency with:
  21. 21. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU With these innovations, BLU Acceleration can perform queries at the speed of thought…
  22. 22. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU Actionable Compression reduces to 1TB In-memory DATA 10TB Data DATA DATA DATA DATA DATA DATA DATA DATA DATA
  23. 23. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU Actionable Compression reduces to 1TB In-memory Column Processing reduces to 10GB DATA DATA 10TB Data DATA DATA DATA DATA DATA DATA DATA DATA DATA
  24. 24. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU Actionable Compression reduces to 1TB In-memory Column Processing reduces to 10GB Data Skipping reduces to 1GB DATA DATA DATA 10TB Data DATA DATA DATA DATA DATA DATA DATA DATA DATA
  25. 25. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU Actionable Compression reduces to 1TB In-memory Parallel Processing 32MB linear scan on each core via Column Processing reduces to 10GB Data Skipping reduces to 1GB DATA DATA DATA DATA 10TB Data DATA DATA DATA DATA DATA DATA DATA DATA DATA
  26. 26. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU Actionable Compression reduces to 1TB In-memory Parallel Processing 32MB linear scan on each core via Vector Processing Scans as fast as 8MB through SIMD Column Processing reduces to 10GB Data Skipping reduces to 1GB DATA DATA DATA DATA DATA 10TB Data DATA DATA DATA DATA DATA DATA DATA DATA DATA
  27. 27. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU Actionable Compression reduces to 1TB In-memory Parallel Processing 32MB linear scan on each core via Vector Processing Scans as fast as 8MB through SIMD Answers at the speed of thought Column Processing reduces to 10GB Data Skipping reduces to 1GB DATA DATA DATA DATA DATA DATA 10TB Data DATA DATA DATA DATA DATA DATA DATA DATA DATA
  28. 28. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU Getting started with BLU Acceleration is also super fast and super easy...
  29. 29. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU 1. Decide on partition strategies 2. Select Compression Strategy 3. Create Table 4. Load data 5. Create Auxiliary Performance Structures A. Materialized views B. Create indexes a. B+ indexes b. Bitmap indexes 6. Tune memory 7. Tune I/O 8. Add Optimizer hints 9. Statistics collection Repeat Database Design and Tuning
  30. 30. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU 1. Decide on partition strategies 2. Select Compression Strategy 3. Create Table 4. Load data 5. Create Auxiliary Performance Structures A. Materialized views B. Create indexes a. B+ indexes b. Bitmap indexes 6. Tune memory 7. Tune I/O 8. Add Optimizer hints 9. Statistics collection Repeat vsDatabase Design and Tuning
  31. 31. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU Database Design and Tuning BLU Acceleration 1. Decide on partition strategies 2. Select Compression Strategy 3. Create Table 4. Load data 5. Create Auxiliary Performance Structures A. Materialized views B. Create indexes a. B+ indexes b. Bitmap indexes 6. Tune memory 7. Tune I/O 8. Add Optimizer hints 9. Statistics collection Repeat 1. Create Table 2. Load data vs
  32. 32. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU BLU Acceleration No Indexes, No Aggregates, No Tuning, No SQL changes, No schema changes
  33. 33. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU Faster set-up and faster performance means faster insights from more data...
  34. 34. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU Enabling you to use big data to make better decisions, better serve your customers, improve the efficiency of operations and reduce risk.
  35. 35. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU BLU Acceleration:
  36. 36. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU Built into DB2 10.5 BLU Acceleration:
  37. 37. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU Built into DB2 10.5 Doesn’t require specific configurations BLU Acceleration:
  38. 38. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU Built into DB2 10.5 Doesn’t require specific configurations Extends and enhances value of existing investments BLU Acceleration:
  39. 39. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU Built into DB2 10.5 Doesn’t require specific configurations Extends and enhances value of existing investments Flexible deployment BLU Acceleration:
  40. 40. Put BLU Acceleration to work: IBMbigdatahub.com/IBMBLU

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