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He is also interested in strategizing using design thinking principles and in coaching and mentoring. 1 introducing big data, hadoop, and spark 5 introduction to big data, distributed computing, and hadoop 5 a brief history of big data and hadoop 6 hadoop explained 7 introduction to apache spark 13 apache spark background 13 uses for spark 14 programming interfaces to spark 14 submission types for spark programs 14. Training what is python? Python is an open- source programming language it is relatively easy to learn it is a powerful tool with many modules ( libraries) that can be imported in to extend its functionality python can be used to automate tasks and process large amounts of data. Of big data development and architect experience, including working with hadoop and its ecosystems as well as other nosql technologies such as mongodb and cassandra.
Algorithms: how to mine intelligence or make predictions based on data 3. Titles in this series primarily focus on three areas: 1. What python concepts can be applied to big data how to use apache spark and pyspark how to write basic pyspark programs how to run pyspark programs on small datasets locally where to go next for taking your pyspark skills to a distributed system. Infrastructure: how to store, move, and manage data 2.
In fact, he has been the technical reviewer of several books on these topics. The pearson addison- wesley data and analytics series provides readers with practical knowledge for solving problems and answering questions with data.
