Did you know that 90% of the world’s data has been created in the last two years alone? With such an overwhelming influx of information, businesses are constantly seeking efficient ways to manage and ...

Apache Spark and Apache Hadoop are both popular, open-source data science tools offered by the Apache Software Foundation. Developed and supported by the community, they continue to grow in popularity ...

Data is the new currency of the modern world. Businesses that successfully maximize its value will have a decisive impact on their own value and on their customers’ success. As the de-facto platform ...

A monthly overview of things you need to know as an architect or aspiring architect. Vivek Yadav, an engineering manager from Stripe, shares his experience in building a testing system based on ...

With the new release of its Hadoop distribution, Cloudera has radically expanded the set of supporting tools for the data processing framework. “What we saw was that most organizations deploy quite a ...

DataTorrent Inc. unveiled a product to manage the ingestion of data into Hadoop systems -- aiming to simplify a process that it says traditionally relies on a lot of moving parts and multiple tools -- ...

For some time Microsoft didn’t offer a solution for processing big data in cloud environments. SQL Server is good for storage, but its ability to analyze terabytes of data is limited. Hadoop, which ...

MapR Technologies, provider of Apache Hadoop, has announced changes to its services that will help enterprises deploy Hadoop quickly and securely. Map R is releasing version 5.0 of the MapR ...

Apache Spark is a project designed to accelerate Hadoop and other big data applications through the use of an in-memory, clustered data engine. The Apache Foundation describes the Spark project this ...