SAP senses an opening in big data and related markets, and is using HANA to widen and push through the opening, using a shared success model with partners and customers.
ESG’s Market Landscape Report defines the information security analytics market and includes coverage of 21 vendors. Due to the rapidly changing nature of this emerging market, ESG is making the report available on a complimentary basis for a limited time.
The big data platform race will unfold more like Le Mans than a drag race, and MapR seems to understand better than most that a steady enterprise-grade evolution of a big data platform will keep it and its customers on track.
Software-defined everything. SFE. The latest craze in marketing mayhem.
There, of course, is some legitimacy to the phrase - but doesn't software already "define" everything in our IT world? Doesn't software provide the execution sets that tell our "stuff" what we want it to do? Therefore, isn't everything really already software-defined in many ways?
After a long car ride, and studying 65 BI/analytics vendors, here are 5 bigger truths about big data.
ESG estimates that the revenue "pull through" from BI/analytics software platforms for adjunct market providers, such as hardware (server, storage, networking), professional services, and point solution software is slightly over 3 times the revenue for BI/analytics software.
Do Teradata's tepid Q1-FY13 results suggest weaker demand in general for big data, or a changing of the guard?
Actian's buying blitz puts it in the middle of the big data mix, now Actian just needs to execute excellently.
I’m on my way back from the Oracle Analyst Conference for 2013 held in beautiful Redwood City, California. What is great about events such as this are the insights you can glean from the presentations and conversations with company executives and leaders. What is unfortunate is how much of the good stuff can’t be discussed at this time. That’s like standing in line for the buffet when you’re hungry.
Hackers are rattling an assortment of web application windows and doors to find a way in.
Hackers growing more creative, attentive, and persistent.
While mobile first design points at a progress, it can also drive business application design in the wrong direction.
IBM DB2 steps up to the columnar and performance plate to help IBM continue its considerable momentum in big data.
This ESG Lab Validation report documents hands-on testing of the Symantec Backup Exec 3600 Appliance, which offers advanced data protection for virtual and physical environments. The report focuses on the out-of-the-box experience, ease of management, and cost-effectiveness.
This ESG Lab Validation report documents hands-on testing of Symantec Backup Exec 2012’s advanced virtual server data protection. The report focuses on how Backup Exec 2012 measures up against best practices in virtual data protection.
You thought big data was big? Try the Data Economy on for size.
The concept of a platform in information technology (IT) parlance suggests “everything, or almost everything you need to build a complete solution.” Five years ago, the notion of an analytics platform was marginally part of the market nomenclature. At that time, business intelligence (BI) platforms dominated the landscape, and analytics, while certainly ingredients of or augmentations to several BI platforms, were the afterthought—more of an enigmatic art for the few, the domain of the statistician. But the “big data” market phenomena, catalyzed by the Apache open source Hadoop project, and invigorated by several vendors’ marketing programs, has shifted buyer focus from BI toward analytics.
Does information security analytics qualify as big data? Considering the challenges involved in capturing, processing, storing, searching, sharing, analyzing, and visualizing all of the data that an organization collects from log files, external intelligence feeds, and other sources, this question is clearly answered as many organizations say that security data collection and analysis would be considered big data within their organizations today. ESG defines the term “big data” as follows: In information technology, big data is defined as a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications.
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