Apache Arrow puts forward a cross-language, cross-platform, columnar in-memory data format for data. It eliminates the need for serialization as data is represented by the same bytes on each platform ...

The Apache Arrow project is a standard for representing data for in-memory processing. The project is designed to be used internally by other software projects for data analytics. It is not uncommon ...

In-memory data systems have have had a panache for several years now. From SAP HANA to Apache Spark, customers and industry watchers have been continually intrigued by systems that can operate on data ...

The latest project to reach top-level status in the Apache Software Foundation is a no-lose proposition for everyone, or at least that’s how the project leaders are positioning it. Apache Arrow ...

The FDAP stack brings enhanced data processing capabilities to large volumes of data. Apache Arrow acts as a cross-language development platform for in-memory data, facilitating efficient data ...

There are significant performance optimizations available for systems that consume and process primarily analytical data, but seldom are software applications written in a way that can take advantage ...

The ever-growing open source data stack ushered in yet another piece this morning with Apache Arrow, a new top-level project providing a columnar in-memory layer that focuses on higher performance ...

Over the past three years Apache Arrow has exploded in popularity across a range of different open source communities. In the Python community alone, Arrow is being downloaded more than 500,000 times ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

A few years back, we noted the emergence of Apache Arrow; what piqued our attention was that the backers consisted of "a who's who list" of over 20 committers from the likes of Cloudera, MapR, ...