Quick Wrap-up of Big Data TechCon

I’ve been fortunate in my role as an ESG Lab Analyst in that I’ve been able to be hands-on with a mix of companies that range from new, emerging startups to mature, proven companies. Specifically in the “Big Data” space, the exposure to the new products and technology has been just enough that I really want to wrap my head around everything there is to know. My ultimate goal at a high-level is to provide clarity where it’s needed - clarity in a cloudy (pun intended), confusing big data ecosystem. What do I need to fix my problem? Who does what? How do they do it? And the big question for me right now: Who really does what they say they do?

I’m finding this last question to be important. With all the confusion of all the big data technology that’s out there, companies can pretty much get away with saying they do X, Y, and Z, when in actuality they do X, they kind of do Y, and they don’t do Z. But before I get too deep into specifics of technologies, companies, and approaches to solving big data problems, I’m trying to stay as high-level as possible.

Topics: Big Data Data Management & Analytics Enterprise Software Data Analytics

Gigamon Expands Traffic Visibility Intelligence

Gigamon announced the next round of enhancements to its Visibility Fabric solution. The added features will help service providers and large enterprises deliver granular filtering and forwarding of relevant data across very large and rapidly growing network environments. This should ultimately result in more targeted information to feed management and analytics engines, which in turn will accelerate the ability of service providers and enterprises to create new services and make important business decisions.

Topics: IT Infrastructure Networking Data Analytics Gigamon

Big Data Security Analytics or Big Data IT Analytics?

According to ESG research, 44% of enterprise organizations believe that their security data collection, processing, and analysis qualifies as “big data” today while another 44% believe that their security data collection, processing and analysis will qualify as “big data” within the next two years. Given this requirement and market opportunity, it is not surprise that IBM and RSA announced Hadoop-based big data security analytics platforms this week.

Yup, big data security analytics will become increasingly pervasive over the next few years but what about the rest of IT? Certainly IT operations teams could benefit from big data analytics for performance tuning, capacity planning, and SLA management. In fact, vendors like LogRhythm, Splunk, and Sumo Logic either market directly to IT operations or find that IT operations jumps onboard quickly once the security team deploys their analytics tools.

Topics: Big Data Data Management & Analytics Information and Risk Management Enterprise Software Security and Privacy Security big data security analytics Data Analytics

The People-Data Connection

Here at IBM Connect 2013, IBM is taking great pains to get across two big ideas. First, that culture drives business. Culture and people are the real strategic value in a business. Because of this, IBM is providing a number of solutions that help to build and harness the human capital of a business and unlock that value. This is a key reason that they acquired Kenexa and continue to help customers to implement social collaboration in their organizations. The value of human capital extends to customers. Engaging customers as people and understanding and appreciating their culture are important factors in driving growth and IBM stands poised to assist.

Topics: Data Management & Analytics Enterprise Software Data Analytics Social Enterprise IBM Connect data

NoSQL is Here and Now

The NoSQL Now! conference at the San Jose Convention Center, efficiently hosted by Dataversity, swam with rather new to extremely new data management and analytics offerings, some of which I will write about subsequently. But here are four underlying themes and general observations garnered from the conference:

Topics: Data Management & Analytics Enterprise Software database rdbms NoSQL Data Analytics

The 6 Vs: The BI/Analytics Game Changes so Microsoft Changes Excel

Go back over two decades and the number one analytics "client" software was Excel. Excel first supported enhanced charting in Excel 3.0 way back in 1990. Go back over one decade, and despite the onslaught of the Web, Excel maintained its position as premier analytics client software, this time enhanced with pivot table capabilities available in Excel 2000.

Topics: Microsoft Analytics Big Data Data Management & Analytics Enterprise Software Data Analytics BI

Sailing Beyond RDBMS: C* and DataStax Full Steam Ahead for Enterprise Big Data and Real-Time

What is this C*, yet another derivative of the C programming language? No, C* is the insider's short-cut for Cassandra, the Apache top-level open source database project that has gathered enough steam to draw over 800 attendees, up from 125 two years ago, last week to Santa Clara for the third annual Cassandra Summit, hosted by DataStax. Here's a nice synopsis of the summit. For those of you not yet initiated, however, what follows summarizes the open source Cassandra movement and the DataStax commercially supported version of Cassandra.

Topics: Cloud Computing Big Data End-User Computing Data Management & Analytics Enterprise Software database rdbms NoSQL Data Analytics Content Management Search Cassandra DataStax Archiving

Instant Hadoop for Symantec's Veritas CFS Customers

In theory, one of the appealing aspects of Hadoop is that one can use commodity servers with DAS to inexpensively and rapidly spin up clusters. However, if you have invested in storage management, and have concerns about compliance, availability, governance, and information management, you might not find the Hadoop barebones approach appealing whatsoever.

Topics: Storage Big Data Data Management & Analytics Hadoop Enterprise Software Data Analytics Symantec

Cloudera’s Platform and Partnerships Set the Pace in the Hadoop Big Data Race

Cloudera’s Platform and Partnerships Set the Pace in the Hadoop Big Data Race

We've seen it before: Technology innovator and champion rides partnership development to unshakeable position in rapidly growing IT market. Sun did it with Java, which augmented their market leader status and sales in the late 1990s (fumbled in the 2000s, alas). Red Hat did it with Linux. Cloudera pursues a similar partnering power path in the Hadoop corner of big data. Consider this partial list of Cloudera’s partnering activities thus far in calendar 2012:

Topics: Cloud Computing Data Management & Analytics IT Infrastructure Hadoop Cloudera Data Analytics

TransLattice: TED Redefines the "Distributed" in Distributed Database

TransLattice: TED Redefines the “Distributed” in Distributed Database

With all the early stage and open source not-strictly-relational database vendors spreading over the IT landscape, many with an eye towards Web 2.0 OLTP and Big Data, it becomes difficult to differentiate. We find plenty of new NewSQL options, and an even longer list of NoSQL options in its many variations (Graph, Columnar, document-oriented, etc.). I refer you to the reference work over at nosql-data.org for about as an exhaustive list as you are likely to find.

Topics: Cloud Computing Data Management & Analytics Enterprise Software Data Analytics