Apache Spark
Distributed framework for processing and analyzing large volumes of data.
Apache Spark is an open-source framework for the distributed processing of large volumes of data. It distributes computations across a cluster of several machines and keeps intermediate results in main memory wherever possible, which speeds up many analysis tasks compared with purely disk-based approaches.
Spark provides programming interfaces for Scala, Java, Python and R, among others, and includes libraries for SQL queries, stream processing and machine learning (MLlib). This makes it well suited to data pipelines and data-intensive analyses.
What Provimedia uses it for
Provimedia uses Apache Spark when large volumes of data have to be processed in a distributed way for analyses or AI projects.
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