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Description of  PySpark Build DataFrames with Python, Apache Spark and SQL

Last updated 2/2021 Duration: 5h 57m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 2.1 GB Genre: eLearning | Language: English Build an amazing DataFrames with Python, Apache Spark, and SQL What you'll learn Create big data streaming pipelines with Spark using Python Learn how to apply Spark on distributed Dataframes Use Python with Big Data on a distributed framework (Apache Spark) Requirements No necessary experience needed Description This course covers all the fundamentals about Apache Spark streaming with Python and teaches you everything you need to know about developing Spark streaming applications using PySpark, the Python API for Spark. At the end of this course, you will gain in-depth knowledge about Spark streaming and general big data manipulation skills to help your company to adapt Spark Streaming for building big data processing pipelines and data analytics applications. This course will be absolutely critical to anyone trying to make it in data science today. Spark can perform up to 100x faster than Hadoop MapReduce , which has caused an explosion in demand for this skill! Because the Spark 2.0 DataFrame framework is so new, you now have the ability to quickly become one of the most knowledgeable people in the job market! This course will teach the basics with a crash course in Python, continuing on to learning how to use Spark DataFrames with the latest Spark 2.0 syntax! Once we've done that we'll go through how to use the MLlib Machine Library with the DataFrame syntax and Spark. All along the way, you'll have exercises and Mock Consulting Projects that put you right into a real-world situation where you need to use your new skills to solve a real problem! If you're ready to jump into the world of Python, Spark, and Big Data, this is the course for you! Who this course is for Someone who knows Python and would like to learn how to use it for Big Data Someone who is very familiar with another programming language and needs to learn Spark Developers transferring from other languages Python Developers looking to get better at Data Streaming Spark Developers eager to expand their skills.