Apache Spark is a real-time data analytics engine used for Machine learning and analytics workloads. It has the capability to handle real-time data analytics and workloads related to data processing.
It can process a large number of data sets and then distribute these data processing tasks to various systems.
These features are necessary when it comes to big data and machine learning as they require high computation energy to process these data blocks.
In addition to this, it takes off the load from the program to manage multiple tasks by introducing built-in APIs. These API’s can easily do most of the work related to distributing the data and processing it.
The other benefits include :
- Speed: It can make the application run ten times faster in memory and 100 times faster in the disk. This can be accomplished by reducing the read-write operations.
- Real-time processing: It can handle real-time processing while integrating other frameworks. It consumes data in small blocks and runs RDD transformations on these small blocks of data.
- Supports multiple frameworks: It can run different applications, including various queries, machine learning, processing graphs, and real-time analytics.
- Increased Usability: It supports various programming languages. With this feature, we can easily build applications.
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