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Apache Spark is the hottest Big Data skill today. More and more organizations are adapting Apache Spark for building their big data processing and analytics applications and the demand for Apache Spark professionals is sky rocketing. Learning Apache Spark is a great vehicle to good jobs, better quality of work and the best remuneration packages.
You might already know Apache Spark as a fast and general engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing. It’s well-known for its speed, ease of use, generality and the ability to run virtually everywhere. And even though Spark is one of the most asked tools for data engineers, also data scientists can benefit from Spark when doing exploratory data analysis, feature extraction, supervised learning and model evaluation.
The course will cover many more topics of Apache Spark with Python including-
What makes Spark a power tool of Big Data and Data Science?
Learn the fundamentals of Spark including Resilient Distributed Datasets, Spark Actions and Transformations
Explore Spark SQL with CSV, JSON and mySQL (JDBC) data sources
Convenient links to download all source code
Who this course is for:
Java Developers who want to upgrade their skills to light weight language python to handle Big data.
Hadoop developers who want to learn a fast processing engine SPARK
Python developers who want to upgrade their skills to handle and process Big data using Apache Spark.
Any professionals or students who want to learn Big data.
Basic Knowledge of Big Data
Basics of Java and OOPs
Basic Computer Programming Terminologies
Last updated 9/2018