TDWI San Diego 2014: Wendy Lucas Describes how BLU Acceleration Delivers In-The-Moment Reporting

© 2014 IBM Corporation

Get Answers You Need in the Moment: Adopting in-memory technology without disruption

TDWI World Conference – San Diego

September 24, 2014

© 2014 IBM Corporation 2

Market changes driving the need for next generation databases

The scale and scope of big data present

new opportunities for innovation and

competitive advantage

Technology allows

us to consume more

data and generate

new insight

Fast access to insight is a top

requirement

These insights are sparking new & rapidly evolving

analytic requests

Businesses need to more quickly

generate insight from information to

accelerate decision making

Organizations need fast, simple and agile technology strategies for manipulating data and developing new

applications


How can I cut costs?

What’s the most cost effective way to add new workloads and capabilities without affecting performance?

How can I deliver faster queries for my end users

cost effectively ?

How can I improve price performance? How can I be more

responsive?

How can I be more innovative?

I’m drowning in large data sets

Interested in using data for traditional and new types of analytics?

Feeling pressure to lower your overall data warehouse TCO?

More data and insight leads to the need for more data and insight The snowball effect


Organizations are modernizing their Data Warehouses to

address these challenges

Add flexibility through deployment model choices • Appliances for a pre-integrated, optimized, simple, ready-to-go

solutions

• Software for powerful capabilities with implementation flexibility

• Cloud for agile, self-service and low cost quick access to insight

Exploit technology innovations to leverage big data • Hadoop to provide landing zone, exploratory analysis, queryable

archive and lower cost of select workloads

• In-memory & Columnar technology to boost performance of analytics

Accelerate analytic queries or boost performance • To enable more timely business decisions

• To improve price performance

Add new data sources, increase usage or

analytic capability • To support new subject areas or lines of business

• To drive new analytic capabilities


What is in-memory computing & why should I care?

Main memory (DRAM)

App. Data

Application

Code

App. Data

Application

Code

Traditional Computing

Data

In-memory Computing

• Persistency

• Recovery

• Post-processing

• Backup Main memory (DRAM)

App. Data

Application

Code

App. Data

Application

Code

Data

Keeping data in memory as a means

of processing at faster speeds

Driven by massive growth in data volumes and lower costs of

computer memory

Enables faster actionable insight – better, faster decision making


Breakthrough performance without the cost or limitations of

in-memory only systems

Traditional in-memory only systems require all data

to be in memory

Unrealistic in today’s growing world of big data

Very costly

Next generation in-memory systems require:

In-memory performance without having to fit all

data in RAM

Optimized movement of data from storage to

system memory to CPU memory (cache)

Speed for both transactional and analytical

workloads


DB2 with BLU Acceleration Rich capability integrated with IBM DB2 10.5

In-memory analytic database

Multiple IBM innovations

In-memory processing of columnar

data without the limitations of

memory size

Analyze compressed data with

actionable compression

…and more

Ready for Analytics: Cloud, On

premise, SAP, Cognos, and more

Agile warehousing via BLU for Cloud

Fast Answers. Simply Delivered.

“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

Visit ibmbluhub.com for

customer videos


Instant insight from real-time operational data

for growing revenue, reducing cost and lowering risk

35x to 73x faster analytics, with some queries running more

than 1400x faster1,2

Next generation in-memory with IBM Research innovations

Simplified IT landscape with reporting and transactions

in the same system

No need for indexes, aggregates or tuning

Operational simplicity with “load and go” performance

Available for on-premises or via the cloud

“When we consider the indexes and aggregates we no longer need, the database is

14.7x smaller after BLU Acceleration!” - Mohankumar Saraswatipura, Lead DBA, Reckitt Benckiser

Simple, low-risk upgrade from Oracle Database

Fast

Simple Agile

DB2 with BLU

Acceleration


The Benefits of DB2 with BLU Acceleration for Analytics

1. Based on internal IBM testing of sample client analytic workloads comparing queries accessing row-based tables on DB2 10.1 vs. columnar tables on DB2 10.5 with BLU Acceleration. Performance improvement figures are cumulative of all queries in the workload. Individual results will vary depending on individual workloads, configurations and conditions.

2. Based on internal IBM tests of analytic workloads comparing queries accessing row-based tables on DB2 10.1 vs. columnar tables on DB2 10.5 with BLU Acceleration. Results not typical. Individual results will vary depending on individual workloads, configurations and conditions, including size and content of the table, and number of elements being queried from a given table.


BLU Shadow Tables

Instant insight into operational data without

compromising transaction performance

DB2 creates column-based ‘Shadow Table’

versions of row-based operational data

Analytic queries are seamlessly routed to

Shadow Tables to take advantage of BLU

Acceleration analytics performance in the

transaction processing environment

With BLU Shadow Tables, the performance of

analytical queries can improve by 10x or more,

with equal or greater transactional

performance*. In one instance, the removal of

secondary analytic indexes improved

transactional performance by 2x**


Reporting and Transactions in the

same continuously available system

Fast

Transactions Fast

Analytics

Query Optimization One

Database

Row Oriented

Tables

Column

Oriented

Shadows

Automatic

Incremental

Sync

* - Based on internal IBM testing of sample transactional and analytic workloads by replacing 4 secondary analytical indexes in the transactional environment with BLU Shadow Tables. Performance improvement figures are cumulative of all queries in the workload. Individual results will vary depending on individual workloads, configurations and conditions. ** - Based on internal IBM testing of sample transactional and analytic workloads by replacing 20 secondary analytical indexes in the transactional environment with BLU Shadow Tables. Performance improvement figures are cumulative of all queries in the workload. Individual results will vary depending on individual workloads, configurations and conditions.


Business Agility

Deploy on-premise or via

the cloud with only a fraction

of the computing resources

“Using DB2 10.5 with BLU

Acceleration, our storage

consumption went down by

about 10x” - Kent Collins,

Database Solutions

Architect

Speed of Thought

Analytics

Analyze data literally as fast

as you can ask questions

“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

Operational

Simplicity

Maximizes business value from

existing infrastructure; no need

to rip and replace

“We project this will save us

42 days per year in lower

administration and tuning

efforts” – Brenda Boshoff, Sr.

DBA

DB2 with BLU Acceleration

What more can businesses do with BLU?

How many more questions

could your business answer

if they could get answers

this much faster?

What can you do for your

business with an extra

month?

Where could you invest the

10x savings to drive more

business value?


Next generation in-memory computing

For more information

Visit www.ibmbluhub.com

Get BLU! – trial kit download

Join the discussion

Twitter: #ibmblu

LinkedIn: IBM BLU Acceleration

Facebook: IBM DB2, IBM Data Warehousing & Analytics

Insight 2014 Conference -

http://www.ibm.com/software/events/insight/

Contact me: [email protected], Twitter: @wlucas001

DB2 with BLU Acceleration

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