Much of the focus on real-time big data has been on the capture and processing of real-time unstructured data from machines, sensors, web pages, and other Internet of Things (IoT) sources, but for a ...

Over the past three years, data analytics has been a "digestive" exercise, with volumes of man- and machine-created data amalgamated, stored, indexed, and probed for intelligent gems that can ...

Facebook yesterday open sourced Presto, its distributed SQL query engine built to improve Big Data analytics beyond existing solutions such as Hadoop MapReduce and Hive. The improvements are ...

The new Amazon Athena tool from Amazon Web Services Inc.(AWS) enables serverless queries of large amounts of data stored in Amazon Simple Storage Service (Amazon S3), obviating the need to spin up ...

Hadoop is a notoriously difficult system on which to run interactive queries. JethroData developed a SQL-on-Hadoop engine that acts as a business intelligence-on-Hadoop acceleration layer that speeds ...

If you’re a CMO today, I expect you are chomping at the bit to get into this whole “big data” craze: taking the data sets you have already collected and mining them for insights and trends you can ...

Benjamin is a business consultant, coach, designer, musician, artist, and writer, living in the remote mountains of Vermont. He has 20+ years experience in tech, an educational background in the arts, ...

Have you ever hesitated to explore powerful data tools because of the fear of hidden costs or complex setups? If so, you’re not alone. Many aspiring data enthusiasts and professionals shy away from ...

Big Data is supposed to level the business playing field, but up until now it has not. Because even though it’s cheaper to store data in Hadoop or to work with open source NoSQL in theory, it’s too ...

Google wants to make all blockchain data associated with Ethereum easily accessible for people to study. It’s doing that by making all Ethereum data sets available through BigQuery, Google’s ...