Overview: Modern big data tools like Apache Spark and Apache Kafka enable fast processing and real-time streaming for smarter ...

Overview: Modern organizations rely on integrated data platforms to process massive datasets and generate real-time insights.Cloud-native platforms like Snowfla ...

Add Yahoo as a preferred source to see more of our stories on Google. farm-ccapp.jpg The Climate Corporation app allows farms, soil, and weather to be monitored from anywhere. Image: Lyndsey ...

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 ...

One of the most conspicuous examples of big data in action is Google’s data-aggregating tool Google Flu Trends (GFT). The ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...