Hadoop and spark

Hadoop is Apache’s open-source software framework for storing massive amounts of data across clusters of computers (called nodes). Spark provides a way to efficiently analyze and operate on these data sets using Python and Scala. Spark comes with libraries and tools for machine learning, text analytics, graph analysis, streaming, databases, and others. This presentation covers how Spark works, what makes it unique, and where it fits in the Hadoop ecosystem. Spark with Hadoop: working together  1. Apache Spark Apache Spark is a powerful open-source distributed computing engine developed at UC Berkeley and originally designed for Big Data analytics. Spark was…