Big Data Integration and Processing

Description

At the end of the course, you will be able to:

*Retrieve data from example database and big data management systems
*Describe the connections between data management operations and the big data processing patterns needed to utilize them in large-scale analytical applications
*Identify when a big data problem needs data integration
*Execute simple big data integration and processing on Hadoop and Spark platforms

This course is for those new to data science. Completion of Intro to Big Data is recommended. No prior programming experience is needed, although the ability to install applications and utilize a virtual machine is necessary to complete the hands-on assignments. Refer to the specialization technical requirements for complete hardware and software specifications.

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Career Relevance by Data Role

The techniques and tools covered in Big Data Integration and Processing are most similar to the requirements found in Data Engineer job advertisements.


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Fast Facts

Tools
Apache SparkCClouderaHadoopJupyterMongoDBNoSQLPandasPostgreSQLSplunkUbuntu

Techniques
Big DataData AnalysisData PipelinesData ProcessingData ScienceData SetsDatabasesProgrammingUser Experience

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