Apache Spark is a distributed data processing framework that is suitable for any Big Data context thanks to its features. Despite being a relatively recent product (the first open-source BSD license was
Apache Spark is the most widely used in-memory parallel distributed processing framework in the field of Big Data advanced analytics. The main reasons for its success are the simplicity of use
Quali sono i framework tipici del mondo Big Data? Perchè Spark è il più diffuso e come viene adottato in contesti industriali? Quali sono gli use case più significativi? Queste
In today’s data intensive society Big Data applications are becoming more and more common. Their success stems from the ability to analyze huge collections of data opening up new business prospectives.
WASP is a framework that enables the development of full stack complex real time applications like IoT for example, complex big data streaming analytics, massive data ingestion or data offload from
Agile Lab unveils its onsite big data training programs!! We want to share knowledge about big data topics, to bring innovation. Right now the focus is on Spark and Cassandra. But we