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Top 20+ Big Data Certifications and Courses in 2023

Knowledge Hut

These certifications have big data training courses where tutors help you gain all the knowledge required for the certification exam. Programming Languages : Good command on programming languages like Python, Java, or Scala is important as it enables you to handle data and derive insights from it. Cost: $400 USD 4.

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Best Data Processing Frameworks That You Must Know

Knowledge Hut

Spark is most notably easy to use, and it’s easy to write applications in Java, Scala, Python, and R. Two restricted forms of shared variables are used: broadcast variables, which reference read-only data that has to be available for all the nodes, and accumulators, which can be used to program reductions.

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A Beginners Guide to Spark Streaming Architecture with Example

ProjectPro

Spark Streaming was launched in 2013 to enable data engineers and data scientists to process real-time data from SQL databases, Flume, Amazon Kinesis, etc. Discretized Streams, or DStreams, are fundamental abstractions here, as they represent streams of data divided into small chunks(referred to as batches).

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Hadoop MapReduce vs. Apache Spark Who Wins the Battle?

ProjectPro

This blog helps you understand the critical differences between two popular big data frameworks. Hadoop and Spark are popular apache projects in the big data ecosystem. Apache Spark is an improvement on the original Hadoop MapReduce component of the Hadoop big data ecosystem.

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