All Things Big Data, Hadoop, and Apache Drill

Nitin Bandugula

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Top Stories by Nitin Bandugula

Help Yourself: Leveraging Apache Drill's Self-Service Capabilities Small data management solutions don't work in our brave new Big Data world. Back in the small data days, we talked proudly about having gigabytes of structured data that had been carefully denormalized to reduce latency as much as possible. Today's data is measured in petabytes, and it is dynamic, complex, and wildly varied in structure. Small data was a nicely planned garden, but Big Data is a jungle: rich with resources, abundant in growth, but also a bit overwhelming and easy to get lost in. Exploring that jungle requires solutions that enable interactive, self-service ways to work with historical as well as near real-time data. Hadoop and NoSQL on Hadoop solved a significant amount of Big Data access and availability problems. Add Apache Drill and SQL-on-Hadoop to the mix and you have a solution... (more)

Apache Drill Provides Competitive Benefits By @MapR | @CloudExpo [#BigData]

Boost Your Business IQ: How Apache Drill Provides Measurable Competitive Benefits An open source, schema-free SQL query engine-that certainly sounds impressive. But what bottom-line benefits does Apache Drill bring to a business? The answer is straightforward: it enables a business to extract the most value possible from data stored in Hadoop. Apache Drill does this by breaking down many of the technical barriers that had restricted the ways that analysts could work with data, and limited the intelligence that they could glean from it. With Apache Drill, data scientists are no... (more)

How to Get More ROI from Big Data By @NitinBandugula | @BigDataExpo [#BigData]

How to Get More ROI from Big Data and Hadoop with Apache Drill Many businesses have run a Hadoop Big Data system dedicated to a specific use case. Perhaps they are collecting call center records, analyzing sensor reports from the factory floor, or monitoring tweets to track customer experience in real-time. Confining Big Data-driven projects to select initiatives initially made sense, as many of the initial Big Data analysis solutions were optimized for a limited set of use cases. But solution options have matured and expanded, as have the data sources businesses draw from. To ge... (more)