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Required Skills for CCA175

Data Ingest

The skills to transfer data between external systems and your cluster. This includes the following:

  • Import data from a MySQL database into HDFS using Sqoop
  • Export data to a MySQL database from HDFS using Sqoop
  • Change the delimiter and file format of data during import using Sqoop
  • Ingest real-time and near-real-time streaming data into HDFS
  • Process streaming data as it is loaded onto the cluster
  • Load data into and out of HDFS using the Hadoop File System commands
  • Transform, Stage, and Store

Convert a set of data values in a given format stored in HDFS into new data values or a new data format and write them into HDFS.

  • Load RDD data from HDFS for use in Spark applications
  • Write the results from an RDD back into HDFS using Spark
  • Read and write files in a variety of file formats
  • Perform standard extract, transform, load (ETL) processes on data
  • Data Analysis

Use Spark SQL to interact with the metastore pro-grammatically in your applications. Generate reports by using queries against loaded data.

  • Use metastore tables as an input source or an output sink for Spark applications
  • Understand the fundamentals of querying datasets in Spark
  • Filter data using Spark
  • Write queries that calculate aggregate statistics
  • Join disparate datasets using Spark
  • Produce ranked or sorted data
  • Configuration

This is a practical exam and the candidate should be familiar with all aspects of generating a result, not just writing code.

  • Supply command-line options to change your application configuration, such as increasing available memory