1 © 2015 IBM Corporation

Introduction to dashDB MPP: The Power of Data Warehousing

in the Cloud

2 © 2015 IBM Corporation

IBM Cloud Data Services

3 © 2015 IBM Corporation

IBM Cloud Data Services

Provides a comprehensive set of rich, integrated cloud data services covering content, data and analytics.

Get started: IBM.com/Bluemix

4 © 2015 IBM Corporation

IBM Cloud Data Services

IBM Cloudant NoSQL DBaaS

IBM BigInsights on Cloud Enterprise Hadoop as a Service

IBM SQL DB relational database

service

5 © 2015 IBM Corporation

IBM dashDB a fully managed cloud data warehouse service designed

for performance and scale, compatible with a wide range of BI toolsets and advanced analytics tooling.

6 © 2015 IBM Corporation

!  Extend your on-premises data warehouse to the cloud

7 © 2015 IBM Corporation

!  Extend your on-premises data warehouse to the cloud

!  Build new, self service cloud warehousing infrastructure

8 © 2015 IBM Corporation

!  Extend your on-premises data warehouse to the cloud

!  Build new, self service cloud warehousing infrastructure

!  Ingest structured and unstructured data and run advanced analytics

9 © 2015 IBM Corporation

dashDB is available as a fully managed service through IBM Bluemix.

IBM manages the setup, configuration, tuning and disaster recovery operations, so you can get straight to building…

10 © 2015 IBM Corporation

dashDB features:

" BLU in-memory acceleration" Columnar technology"  In-database predictive analytics" Cloudant integration for JSON analytics" Built-in Netezza algorithms" SoftLayer bare metal infrastructure

11 © 2015 IBM Corporation

IBM dashDB is designed with the greater data ecosystem in mind.

12 © 2015 IBM Corporation

Integrate:Your Data Sources

13 © 2015 IBM Corporation

Integrate:Your Analytics

14 © 2015 IBM Corporation

Integrate:Your BI Tools

15 © 2015 IBM Corporation

Case in point:

Simple data pipe for Salesforce

IBM developer advocates have built an open source app for moving your Salesforce CRM data to dashDB

16 © 2015 IBM Corporation

End result:

Learn more: https://developer.ibm.com/clouddataservices/dashdb/

17 © 2015 IBM Corporation

“With IBM's dashDB and Cloudant, we can leverage a modern and complete cloud-based data analytics portfolio, which allows us to accelerate our delivery of products and services for analytically savvy media companies.”

18 © 2015 IBM Corporation

“dashDB reduced data queries that used to take all day down to four seconds, totally transforming our business. IBM customized a solution for us, and provided greater support than competing offerings.”

19 © 2015 IBM Corporation

What’s New

"  R & Netezza analytics at in-database speed"  Oracle compatibility"  Data prep with Dataworks Forge"  Open data and Twitter data integration"  Elastic scalability and ultra high

performance via new MPP architecture

20 © 2015 IBM Corporation

21 © 2015 IBM Corporation

MPP = Massively Parallel Processing

22 © 2015 IBM Corporation

MPP breaks up very large, complex tasks into smaller pieces that can be worked on

by multiple resources in parallel

23 © 2015 IBM Corporation

MPP breaks up very large, complex tasks into smaller pieces that can be worked on

by multiple resources in parallel

Whose cows are going to have a brand new home first?

24 © 2015 IBM Corporation

Introducing IBM dashDB Enterprise MPP

" Multi-node data warehousing" Analytics performance that scales" As simple to use as non-MPP dashDB configurations" Fully managed system shielding you from the

complexities of cluster maintenance

Can be ordered now!

25 © 2015 IBM Corporation

dashDB MPP architecture

26 © 2015 IBM Corporation

" Multiple nodes, each divided into 8 slices" Dedicated CPU cores, memory, and storage" Queries can be broken up across all data slices for ultra

fast query processing

CPUsCPUsCPUsCPUs

BLU Acceleration Dynamic In-Memory Processing

CPUsCPUsCPUsCPUs

BLU Acceleration Dynamic In-Memory Processing

dashDB MPP architecture

27 © 2015 IBM Corporation

Case in point: a customer is bringing 60 on prem data marts to the cloud with dashDB MPP

28 © 2015 IBM Corporation

Five Ways to Use dashDB MPP

29 © 2015 IBM Corporation

1. Standalone cloud data warehouse

30 © 2015 IBM Corporation

2. Development and QA Systems

31 © 2015 IBM Corporation

3. Augmenting the existing data warehouse (Hybrid)

32 © 2015 IBM Corporation

4. Analysis of NoSQL Data

33 © 2015 IBM Corporation

5. Data science data store

34 © 2015 IBM Corporation

*Composed of 30 deep analytic queries that a sales report analyst would run to generate reports or dashboard analysis. 60 concurrent user streams, each running a random order of these 30 queries.

The proof of the pudding is in the eating…

!  IBM data warehouse benchmark* showed speedup of 10 times when compared to a dashDB single-server instance!

35 © 2015 IBM Corporation

Enterprise MPP

•  Dedicated, single tenant environment•  Bare metal

•  24 cores per node•  256 GB memory per node•  SSD storage (for about 4 TB of

preload data per node)

Entry

•  Shared, multi-tenant environment

•  20 GB SAN storage capacity

•  Freemium: < 1 GB of raw data is free

Enterprise - 1TB

•  Dedicated, single tenant environment

•  Virtual environment

•  16 cores•  64 GB memory•  SAN storage (for about

1 TB of preload data)

Enterprise - 4 TB

•  Dedicated, single tenant environment

•  Bare metal

•  32 cores•  256 GB memory•  SAN storage (for

about 4 TB of preload data)

Enterprise - 12 TB

•  Dedicated, single tenant environment

•  Bare metal

•  32 cores•  256 GB memory•  SAN storage (for about

12 TB of preload data)

• Fully managed

• High performance data warehousing and analytics in the cloud

• Scale out to meet your data growth needs

A wide range of dashDB plans to suit your needs

36 © 2015 IBM Corporation

Learn more: www.dashdb.com

https://developer.ibm.com/clouddataservices/dashdb

Watch demos, tutorials and more:

Follow us:

http://bit.ly/dashDBYT

@GetdashDB