APACHE SPARK CHEAT SHEET

YOUR GO-TO GUIDE FOR PROCESSING LARGE DATA SETS

Build your large-scale data processing engine on Spark with this FREE cheat sheet!

Apache Spark: The Go-To Engine for Large Scale Data Processing

Apache Spark has become the go-to open source engine for processing large amounts of data. Furthermore, it can handle both batch and real-time data analytics. Spark has several inbuilt modules for streaming, machine learning, SQL, and graph processing.

It is quite evident why Spark is the obvious choice for developers. In comparison with its competitors, it can run jobs 100 times faster and is more flexible.

Several stellar use cases of machine learning with Spark exist today. Spark’s real-time streaming module helps IoT devices communicate faster. Financial companies use Spark’s event detection service to keep track of unusual behavior. Hospitals can use Spark’s ETL service to build patient summaries from large datasets.

Our big data experts use this cheat sheet as a source for quick references to operations, actions, and functions. The Apache Spark cheat sheet covers the following:

  1. Basic transformations/actions
  2. Streaming transformations
  3. Spark dataset
  4. Spark machine learning libraries
  5. Extended RDDs and more

Interested in DevOps? Learn more about our DevOps cheatsheet.

To know more about our machine learning services, contact us.

Spark Cheat Sheet LP Thumbnail

FILL OUT THE FORM BELOW TO GET THIS FREE HI-RES CHEAT SHEET!

How Can Synerzip Help You?

By partnering with Synerzip, clients rapidly scale their engineering team, decrease time to market and save at least 50 percent with our Agile development teams in India.