AI for enterprise is already here, helping companies streamline their operations, serve their customers better, and save ...

Bhargav Kumar Konidena significantly contributes to Apache Iceberg, Beam, and Helm, enhancing data workflows and DevOps with ...

The discovery of hidden “kill switches” in American solar farms has ignited a wave of security concerns, prompting calls for investigations into potential risks to energy infrastructure. These kill ...

The Apache Spark framework for HDInsight enables fast data analytics and cluster computing using in-memory processing. Jupyter Notebook lets you interact with your data, combine code with markdown ...

Big medical data analytics has become an essential research area in the healthcare industry. The vast amount of data generated by various medical devices, clinical systems, and research studies needs ...

The days of monolithic Apache Spark applications that are difficult to upgrade are numbered, as the popular data processing framework is undergoing an important architectural shift that will utilize ...

Apache Spark Libraries. Apache Spark has as its architectural foundation the resilient distributed dataset (RDD), a read-only multiset of data items distributed over a cluster of machines, that is ...

We detail how this can be employed on a large database of images in a useful time frame using Apache Spark (Zaharia et al., 2010), an open source cluster computing framework. We also contrast this to ...