Big Data / Analytics

Photo of Carl Olofson Offline

MySQL began as a company-owned open source project to deliver low cost, easy to manage RDBMS technology to the masses. Today, there is a wide variety of companies offering complementary technologies, and more than a few offering variant distributions based on MySQL. All these are celebrated at Percona Live!, the MySQL user conference sponsored by a company that offers one of those variant distributions, but also supported by its competitors, including Oracle. At this year’s conference in San Jose, California, this analyst focused on two products offering variant MySQL technologies aimed at the analytic-transaction processing (ATP) space; DeepSQL and MemSQL.

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Greased Lightning: the GPU DBMS

By Carl Olofson

A new kind of database query processing technology is emerging: one based on graphics processing units (GPUs). Unlike conventional technology that limits its processing to CPUs, these new products can crunch large sets of numbers in parallel in a fraction of the time that the same queries require on regular systems. This is because GPUs, which were originally developed to perform the calculations necessary to drive real-time graphics, can concentrate terrific processing power on many problems simultaneously. GPU databases promise to be a key to handling very complex queries, where answers are needed to drive ongoing processing in an increasingly dynamic, stream-driven, smart processing environment.

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Talking about Thinking Machines

By Dave Schubmehl – 1 Comment

As the market for intelligent applications and the software platforms used to build them has emerged over the last few years, there has been a lot of nomenclature confusion. What should we call these applications and what should we call the platforms, libraries and software tools used to build them?

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Strategy Leads Transformation

By Michael Versace – 13 Comments

......Given that we do not yet have a separate community for Digital Strategy-related topics, I thought that the Analytics and Big Data community would be good place to post this one. Here's the premise - Analytics and big data lead to better business insights around customers, operations, and products and services. Insights in turn define and defend corporate strategies in the digital era, and well executed strategies lead effective digital transformation. See if you agree.

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Informatica announced an agreement on April 7 2015, to be acquired by Permira Funds partnered with Canada Pension Plan Investment Board. This article provides some of the details and speculates on why we are seeing a trend of public technology companies going private.

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I recently completed an IDC MarketScape on Decision Management Software Platforms. This research project gave me the opportunity to speak to several vendors in the market including, FICO, IBM, Oracle, SAS and TIBCO, several of their customers who adopted the solutions, and put the findings in the context of the decision management research I have been doing for many years. Until this platform market emerged a few years ago, customers cobbled together rules engines, advanced analytic tools, interfaces and alerting capabilities to develop decision management solutions. These solutions used rules to enforce resource constraints or maintain compliance with external regulations and internal policies while applying predictive analytic models to generate optimal decision choices. These decision options could be automated if an event met acceptable confidence thresholds or served to front-line employees who could then take action based on recommendations.

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The rise of Internet connected devices presents opportunities to harvest the data and leverage it for new types of intelligent applications and services. This post reviews some of the factors impacting demand and supply of a new wave of analytic applications.

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Unlocking the Hidden Value of Information

By Dave Schubmehl – 1 Comment

A newly published IDC multiclient study discusses the best practices and strategies to unlock the hidden value of information. Research from IDC shows that unstructured content accounts for 90% of all digital information. This content is locked in a variety of formats, locations, and applications made up of separate repositories. When connected and used properly, such information typically can help increase revenue, reduce costs, respond to customer needs more quickly and accurately, or bring products to market faster.

Photo of Dave Schubmehl Offline

Twitter's purchase of Bluefin Labs in 2013 and Gnip, Secondsync and Mesagraph in 2014 show that the Twitter wants to move beyond just advertising into the the world of social media data and analytics, especially for media, consumer companies and enterprises. The combination of analytics technology from Bluefin with the data APIs of Gnip make for a powerful combination and put pressure on companies like DataSift, FirstRain and other social media data and analytics companies.

Photo of Carl Olofson Offline

Some are saying that the chip cache is the new RAM, and RAM is the new disk. In the DBMS world, this means that disk-optimized DBMSs (those that optimize their operations around the management of data on disk storage) are giving way to memory-optimized DBMSs (those that optimize operations around the management of data in memory, using disk for overflow and recovery purposes). A number of startups have unveiled exciting new technology along these lines. It's not just the startups that are having all the fun; leading DBMS vendors such as Oracle, IBM, SAP, and Teradata have also introduced DBMS technology that is either partially or entirely memory-optimized. This technology is sure to go mainstream in many enterprise data centers by the end of 2014.

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Welcome to the Business Analytics blog where business and IT professionals engage in ongoing discussions on best practices, emerging market trends, and latest market developments in business analytics, including data warehousing, advanced analytics, query, reporting, and analytic applications.

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  • Adobe and Microsoft …
    chris bons says:
    Segment makes it easy to send your data to Adobe Analytics (and lots of other destinations). Once you've tracked your data through our open source libraries we'll translate and route your data to Adobe Analytics in the format they understand. Learn more about how to use Adobe Analytics with Segment.
    2 months ago

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