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Big Data Analysis: Hive, Spark SQL, DataFrames and GraphFrames

No doubt working with huge data volumes is hard, but to move a mountain, you have to deal with a lot of small stones. But why strain yourself? Using Mapreduce and Spark you tackle the issue partially, thus leaving some space for high-level tools. Stop struggling to make your big data workflow productive and efficient, make use of the tools we are offering you.



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The techniques and tools covered in Big Data Analysis: Hive, Spark SQL, DataFrames and GraphFrames are most similar to the requirements found in Data Engineer job advertisements.


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Fast Facts

Tools
Apache Spark Hadoop Hive SQL

Techniques
Data Analysis Data Visualization Optimization Big Data Debugging MapReduce

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