In the new world of “data lakes,” where raw data is collected for subsequent discovery and analysis, lies the task of managed data ingestion. While data lakes may dispense with the… Read more »
Big Data is still in its early stages of life; to get to the next stage, its integration with core enterprise technologies needs to get better. Chief among the enterprise environments… Read more »
Hadoop is critical to most Big Data infrastructures, but taking a do-it-yourself approach to setting up and managing your Hadoop clusters shouldn’t be a requirement. Using Hadoop as an engine makes… Read more »
When we’re talking about conventional IT systems, we rarely question the idea of geo-distributed systems and redundancy. And we don’t usually challenge the notion that load balancing among servers and farms… Read more »
Hadoop has graduated from open source curiosity to de facto industry standard. And when standards emerge, so do lots of tools and companion projects that build upon them. Companies looking to… Read more »
Easily two of the most important breakthrough technologies in data processing and storage in the past decade are MongoDB and Hadoop. As a consequence there is an enormous amount written about… Read more »
As Hadoop moves from the early adopter phase into the mainstream, IT organizations across all industries are asking how to make the business case for Hadoop at their company. For all… Read more »
Since Hadoop hit the scene almost a decade ago, IT shops have been quietly funneling enormous amounts of data into it for many compelling reasons. It’s vastly cheaper than traditional data… Read more »