Big data compiles all kinds of interesting info about you, but how can companies use this info without violating your privacy?
It seems that every time a new major IT platform is delivered, backing it up is an afterthought – often exacerbated by the fact that the platform vendor didn’t create the APIs or plumbing to enable a backup ecosystem. Each time, there is a gap where the legacy folks aren’t able to adapt quickly enough and a new vendor (or small subset) start from scratch to figure it out. And for a while, perhaps a long while, they are the defacto solution until the need becomes so great that the platform vendor creates the APIs, and then everyone feverishly tries to catch up. Sometimes they do, other times, not so much.
Microsoft is finally telling a big data vision that leverages their market strengths, bringing multiple product lines together for some really powerful solutions.
Data protection and disaster recovery are underserved topics in the big data market today. ESG has some ideas on best practices to remedy this problem.
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?
With big data finally becoming mainstream and adoption growing in global enterprises in all industries, the requirements for resilience and robustness of the applications have increased. Today, there is an underserved need for more mature approaches to data protection and disaster recovery. Vendors that address these issues as part of their offerings will see greater acceptance by their customers’ IT operations teams, but everyone must do more to improve their capabilities for better reliability and business continuity.
An observation of the industry's biggest problem in big data - no one can succincty articulate what they actually do, why it has value, and how it fits in the greater scheme of a complete solution. The Big Data Techcon in Cambridge was a great example of this challenge.
One significant challenge with big data is the complexity of architecting and assembling a complete technology stack to support companies’ analytics initiatives. Pivotal addresses this with its broad portfolio of interlocked data platform and agile development offerings, including alliances with strong connections to EMC, Isilon, and VMware, and participation in the Cloud Foundry community for a ready PaaS environment in their own version, Pivotal CF. Recently announced enhancements to its products go further in establishing Pivotal’s position as a solution leader in the big data market. Although further integration is needed to realize the solution’s full potential, the vision is compelling.
Company must emphasize services, acquire promising startups, establish a partner ecosystem, streamline products and operations, and hire top engineering and management talent.
A recap of key points from Cloudera's analyst day, and some thoughts on their vision and next steps.
Big data initiatives are being held back by a skills shortage, but there are several ways vendors are working to address this challenge.
My reactions on how Google Glass plays in the world of wearables, mobile, social, and maybe big data.
In order to assess IT spending priorities over the next 12-18 months, ESG recently surveyed 562 IT professionals representing midmarket (100 to 999 employees) and enterprise-class (1,000 employees or more) organizations in North America and Western Europe. All respondents were personally responsible for or familiar with their organizations’ 2013 IT spending as well as their 2014 IT budget and spending plans at either an entire organization level or at a business unit/division/branch level.
ESG has again completed its annual IT Spending Intentions research survey of global IT decision makers, investigating IT initiatives and priorities, budget changes, staffing outlook, and cloud and big data trends. This research brief highlights key findings around business intelligence, analytics, databases, and big data, which will help paint a sharper picture of the current state of the industry and future directions.
This ESG Lab Spotlight documents hands-on testing of the Varonis Data Governance Suite with a focus on reducing risk, improving productivity, and lowering cost when managing continuously growing amounts of human-generated data within organizations.
Thinking about the intersection of big data and security in the enterprise, live from the RSA conference.
A semi-serious look at how social networking still fails to use social analytics to satisfy the user base.
A round up of impressions on the state of big data from the 2014 O'Reilly Strata conference in Santa Clara.