MonsterCourses helps to know more practical knowledge about Spark that allows users to write their applications in multiple languages including Python, Scala, and Java. This is extremely convenient for developers to run their applications on programming languages that they are already familiar with. In addition, Spark comes with a built-in set of nearly 80 high-level operators as well which can be used in an interactive manner.
Spark is capable of running in an independent fashion and is capable of working with Hadoop. This means that it can read Hadoop data as well. It can also read from other Hadoop data sources like HBase and HDFS. This is why it is suitable for brands that want to migrate their data from pure Hadoop applications. As Spark uses immutability, it might not be ideal for all cases of migration.
Spark is a big forces that changing the face of the data ecosystem. It is built for companies that depend on speed, ease of use and sophisticated technology. It performs both batch processing and new workloads including interactive queries, machine learning, and streaming, making it one the biggest platforms for growth and development of companies around the world.
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