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High Performance Analytics for Big Data

In 2017 IBM met the increasing need to perform machine learning and AI on large volume data with the release of a set of high-performance platforms.

One unique feature of this new family of platforms is a Common SQL engine, which allows for easy migration of analytics from one of the platforms to another.

That Common SQL engine is also highly compatible with the SQL used in PureData, making migration of analytics solutions from this older platform to one of the newer ones possible.

IBM’s New Analytics Platforms

IBM PUREDATA (NETEZZA) MIGRATION SERVICE

This New Family of Platforms Provides:• On-premise or cloud deployment

• Choice of a Massively Parallel Processing (MPP) Database and/or Hadoop based on your needs

• IBM Power CPUs throughout, delivering faster performance than x86 chips

• Ability to link high-performance NVIDIA Graphical Processing Units (GPUs) with the IBM Integrated Analytics System (IIAS) for extremely compute-intensive applications

• Complete support of the hardware and software platform by IBM

Write Once, Run Anywhere, with IBM Common SQLAnchored by a Common SQL Engine enabling true, highly scalable hybrid data warehousing solutions with portable analytics

Managed CloudDb2 Warehouse

on Cloud

Cloud

Db2 Hosted

Software Defined Warehouse

(on-premises or in cloud)

Db2 Warehouse

Dedicated Analytics System

Integrated AnalyticsSystem

Custom Deployable Database

Db2

Open Source Hadoop with Hortonworks

Big SQL

• Application compatibility Write once, run anywhere

• Operational compatibility Reuse operational and housekeeping procedures

• Licensing Flexible entitlements for business agility and cost-optimization

• Integration Data virtuallization capabilities for query federation and data movement

• Standardized analytics Common programming model for In-DB analytics

• Ecosystem One ISV product certification for all platforms

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High Performance Analytics for Big Data

Move the Analytics to the Data In 2008, Fuzzy Logix released DB Lytix™, allowing users to run hundreds of highly parallelized analytics in-database on Netezza. Those analytics ran orders of magnitude faster than competing products.

Fast forward to 2016, when Fuzzy Logix began working with IBM Engineering to optimize its in-database software for the new IBM platforms. That collaboration resulted in enhancements to both IBM and Fuzzy Logix products.

During the same timeframe, Fuzzy Logix certified its software on the Hortonworks Hadoop distribution; IBM later incorporated Hortonworks into BigSQL. And Fuzzy Logix continued its work on NVIDIA CPUs.

Those combined efforts among IBM, Hortonworks, NVIDIA and Fuzzy Logix now allow DB Lytix to run on all new IBM platforms, whether it be:

• In-database• In-Hadoop• In-GPU• On-premise or in the cloud

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Database

CONVENTIONAL v. IN-DATABASE ANALYTICS

Logic /Filtering Applied in Analytic

Workbench Servers

REQUEST

Analytics

Visualization Visualization

Logic/FilteringApplied

In-Database

New ApproachConventional Approach

RESULTS

DATA SQL QUERY

SQL QUERYRESULTS

Scalable Performance for Very Large Data

In-Database Analytics

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High Performance Analytics for Big Data

There are enormous benefits to running analytics where the data resides:

• No data movement• Run machine learning and AI on entire data set, not just a sample• Maintain all data governance and security policies• Deliver extremely high performance by running on powerful data platforms, not smaller

analytics servers

Migrating from PureData to one of the new IBM platformsIf you currently use PureData and are looking to migrate to one of the new IBM platforms, Fuzzy Logix can:

• Help you choose which new IBM platform(s) is right for you• Move both data and analytics to that new platform• Enhance your analytics to leverage new capabilities from IBM, Fuzzy Logix and

Open Source software

Has this migration been done before?Fuzzy Logix has migrated Fortune 50 accounts from PureData to IBM’s new platforms. This work included porting data and analytics, as well as optimizing legacy analytics processes. So, we know how to handle extremely large and complex migrations.

Do I have to be a current Fuzzy Logix Customer?The short answer is no. Fuzzy Logix can work with hardware and software products from IBM, other commercial providers, as well as Open Source. Our engineers are familiar with the new IBM platforms, having ported and optimized our own software on each one.

How do I take the next steps?It’s easy. We can provide a no-cost assessment of your situation and can suggest several alternatives for migration. Whether you use Fuzzy Logix or not, you will gain an expert opinion of your options. Contact a member of our sales or alliances team for more information.

We accelerate analytics. We are a growing team of data scientists, engineers and marketers that live to discover interesting patterns in super large data sets in record time, and with a purpose: to make this science available to any business function within an organization, in an easy to apply manner. We are all about making analytics on big data pervasive, real time, and approachable. Visit us at www.fuzzylogix.com.

ABOUT FUZZY LOGIX

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