In theory, data lakes sound like a good idea: One big repository to store all data your organization needs to process, unifying myriads of data sources. In practice, most data lakes are a mess in one ...

Enterprise software development and open source big data analytics technologies have largely existed in separate worlds. This is especially true for developers in the Microsoft .NET ecosystem. The ...

Big data refers to datasets that are too large, complex, or fast-changing to be handled by traditional data processing tools. It is characterized by the four V's: Big data analytics plays a crucial ...

Big data adoption has been growing by leaps and bounds over the past few years, which has necessitated new technologies to analyze that data holistically. Individual big data solutions provide their ...

Mining Big Data can be an incredibly frustrating experience due to its inherent complexity and a lack of tools. Reynold Xin and Aaron Davidson are Committers and PMC Members for Apache Spark and use ...

Describing it as potentially the most important new open source project in a decade, IBM announced a major commitment to Apache Spark. "IBM has been a decades-long leader in open source innovation. We ...

Hadoop, Spark and Kafka have already had a defining influence on the world of big data, and now there’s yet another Apache project with the potential to shape the landscape even further: Apache Arrow.