Deal with the data now before it suffocates your systems.
Apache Spark is an up-and-coming data analysis technology. Here are six points to help the enterprise decide whether it's time to adopt.
The problem seems to be the lack of a clear strategy of prioritizing critical services first.
New advancements in BI are pushing well beyond self-serve features.
Someone needs to be both accountable and have the power to enforce accountability within the organization. As data becomes more of an opportunity and challenge, it makes sense to appoint a chief data officer to manage both.
Companies that have appointed CDOs seem to have uncertainty about the role. Others seem to have tacked on CDO duties to other positions. Does the enterprise need a CDO?
Though other vendors aren't offering alternatives to Hadoop, adoption of the framework is still low. But experts still predict it will take off.
Defining real-time data, data analytics needs, storage and networking are all part of Internet of Things success.
Pentaho's acquisition by Hitachi Data Systems is just part of today's ever shrinking data integration market.
The downside to data democratization is more data silos. This isn’t the first time IT has faced this problem.
Why is SharePoint so hard to integrate? It wasn't built for heterogeneous environments, for one thing.
Vendors are studying how mobile apps are used and coming up with 'recipes' to help them integrate them without IT's assistance.
Business users want access to data, and to be data-driven, the company needs that access. Consider these four points when attempting to build out your new data infrastructure.
It’s a truism that technology changes quickly and ages fast — and yet, despite massive network and computer evolutions, not much changed for data until Big Data came along.
Cloud infrastructure matters because of speed, both for deployment and the speed of the integration itself, experts say.
Business users no longer want to wait months for IT to produce data reports; they want to access the rich data uninhibited.
Do you need a data team and, if so, what will the composition look like?
It seems clear that organizations understand the value of IoT data, but they’re unclear how to actually get from point A (collect the data) to point C (derive value from the data).
This week's data and integration news includes a report on BI tool usage, a lawsuit based on data quality, and how a Los Angeles hospital is using Apple's HealthKit to integrate data.
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