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At Iverson, our focus is on providing high-quality IT training to corporate customers, meeting their learning needs and helping them to achieve their training objectives. Iverson has the flexibility to provide training solutions whether for a single individual or the largest corporation in a well-paced or accelerated training programme.
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A CCA Spark and Hadoop Developer has proven their core skills to ingest, transform, and process data using Apache Spark and core Cloudera Enterprise tools.
There are no prerequisites required to take any Cloudera certification exam. The CCA Spark and Hadoop Developer exam (CCA175) follows the same objectives as Cloudera Developer Training for Spark and Hadoop and the training course is an excellent preparation for the exam.
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
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
Use Spark SQL to interact with the metastore programmatically 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
This is a practical exam and the candidate should be familiar with all aspects of generating a result, not just writing code.