17 October 2012

IBM extended their PureSystems Hardware family with PureData racks

    IBM Pure Systems now also available as PureData

The volume and velocity of business data is growing at an accelerated rate, and more of it is being identified as mission critical. At the same time, data availability and response time expectations continue to rise. Deploying and running reliable and highly scalable transactional database systems can be expensive and time consuming. A new approach to delivering fast, reliable and scalable data services is needed.
PureData™ System for Transactions is an integrated, optimized, ready-to-run database platform designed and tuned exclusively for transactional data workloads.

Here is a small video that explains why Big Data might be important for you:

Big Data:

A simplified system for today's data demands

With the challenge of growing volume, velocity and variety of data used today in all aspects of the business - using a multi-purpose system for all data workloads is often not the most cost effective or low risk approach, and definitely not the fastest to deploy. The new PureData System is optimized exclusively for delivering data services to today's demanding applications. Like each of the IBM PureSystems, it offers built-in expertise, integration by design, and a simplified experience throughout its life cycle.

Built-in expertise 
Codified data management best practices are provided for each workload. PureData System delivers automated pattern-based deployment and management of highly reliable and scalable database services.

Integration by design
Hardware, storage and software capabilities are designed and optimized for specific high performance data workloads such as patented data filtering using programmable hardware (FPGAs) for ultrafast execution of analytic queries without the need for indices.

Simplified experience
The PureData System provides single part procurement with no assembly required (ready to load data in hours), open integration with 3rd party software, integrated management console for the entire system, single line of support, integrated system upgrades and maintenance.
The new PureData System comes in different models that have been designed, integrated and optimized to deliver data services to today's demanding applications with simplicity, speed & lower cost

Possible sources of Big Data:

Figure explains the three domains of information

IBM PureSystems Product Family - IBM PureData™ System Overview:

PureData for Transactions:

PureData System for Transactions is an integrated, ready-to-run database platform designed and tuned exclusively for transactional data workloads.

PureData for Analytics:

PureData System for Analytics is optimized to deliver data services for analytics and deal with vast amounts of data and complex analytic processing.

Why bother about big Data at all:

The simplest approach, driven pragmatically by what early adopters in the market have done, is to look at the business uses of big data and see how they apply to you. Of course, this approach cannot be complete, because more novel uses will likely be found. However, big data is likely to be important if your business is following one or more of the following directions:

1. Marketing uses social media content and relationship information as well as internally captured content from customer interactions such as call center logs to more deeply understand customer motivation. In industries such as retail, consumer packaged goods and telecommunications where there is direct or indirect interaction with large numbers of consumers, this enables a move from sampling to full dataset analysis, from demographic segments to markets-of-one and from longer-term trending
of historical data to near real-time reaction to emerging events. The ultimate goal is prediction of customer behaviors and outcomes of proposed actions such as next best offer.
2. Detecting fraud and other irregularities in financial transaction data has expanded to include larger volumes of often smaller-value transactions on ever-shorter timescales. Big data analysis techniques on streaming data—before or without storing it on disk—have become the norm.
3. Real-time forecasting becomes possible as utilities, such as water and electricity supply and telecommunications, move from measuring consumption on a macro- to a micro-scale using pervasive sensor technology and big data processes to handle it. Value arises as consumption peaks and troughs can be predicted and, in some cases, smoothed by influencing consumer behavior.
4. Tracking of physical items by manufacturers, producers and distributors—everything from food items to household appliances and from parcel post to container shipping—through distribution, use and even disposal allows business process optimization or improved customer experiences. People, as physical entities, are also subject to tracking for business reasons or for surveillance.
5. Reinventing business processes through innovative use of sensor-generated data offers the possibility of reconstructing entire industries. Automobile insurance, for example, can set premiums based on actual behavior rather than statistically averaged risk. The availability of individual genomic data and electronic medical records presents the medical and health insurance industries with significant opportunities, not to mention ethical dilemmas.

PureData is powered by Netazza software from IBM and a proven BI technology which inspired Oracle to invent the currently very fast ExaData and Big Data racks, see also previous blog about ExaData V3. Big Data can help you grow your business and increase your profits and lower your costs. Please contact DBA Consulting for more information. 

Drs. Albert Spijkers
DBA Consulting
web:            http://www.dbaconsulting.nl
email:           albertspijkers@dbaconsulting.nl


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