Learn to manage and analyze Big Data with this course. Covering Hadoop, HDFS, MapReduce, data loading, Hive for SQL queries, real-time querying with HBase, and data processing with Spark. Theory and practical exercises provided.
About the course
Each of us produces an ever-increasing amount of data every day, albeit sometimes unconsciously: learning how to manage and analyze the massive amounts of data in circulation today has consequently become essential.
Course participants will gain knowledge regarding the concepts basic theory, tools and techniques for the design and implementation of procedures for the advanced analysis of large quantities of data (Big Data).
The course aims to lead participants to understand the architecture and modules of the Hadoop framework, use the HDFS distributed filesystem, write and run MapReduce jobs (java), load data (bulk load) on HDFS, Query Hadoop using SQL-like syntax through Hive, Use HBase for real-time queries and use Spark for data processing.
All topics are covered from a theoretical perspective and accom paid by a lot of demonstration exercises that will be developed and described during the course.
Course Length: 160 hrs
Prerequisites: Basic coding knowledge
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