Databricks Fundamentals & Apache Spark Core

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6-07-2020, 03:53
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  • Databricks Fundamentals & Apache Spark Core
    Databricks Fundamentals & Apache Spark Core
    Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 7 GB
    Genre: eLearning Video | Duration: 71 lectures (12 hour, 8 mins) | Language: English
    Learn how to process big-data using Databricks & Apache Spark 2.4 and 3.0.0 - DataFrame API and Spark SQL .

Databricks Fundamentals & Apache Spark Core Databricks Fundamentals & Apache Spark Core Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 7 GB Genre: eLearning Video | Duration: 71 lectures (12 hour, 8 mins) | Language: English Learn how to process big-data using Databricks & Apache Spark 2.4 and 3.0.0 - DataFrame API and Spark SQL . What you'll learn Databricks Apache Spark Architecture Apache Spark DataFrame API Apache Spark SQL Selecting, and manipulating columns of a DataFrame Filtering, dropping, sorting rows of a DataFrame Joining, reading, writing and partitioning DataFrames Aggregating DataFrames rows Working with User Defined Functions Use the DataFrameWriter API Requirements Basic Scala knowledge Basic SQL knowledge Description Welcome to this course on Databricks and Apache Spark 2.4 and 3.0.0 Apache Spark is a Big Data Processing Framework that runs at scale. In this course, we will learn how to write Spark Applications using Scala and SQL. Databricks is a company founded by the creator of Apache Spark. Databricks offers a managed and optimized version of Apache Spark that runs in the cloud. The main focus of this course is to teach you how to use the DataFrame API & SQL to accomplish tasks such as: Write and run Apache Spark code using Databricks Read and Write Data from the Databricks File System - DBFS Explain how Apache Spark runs on a cluster with multiple Nodes Use the DataFrame API and SQL to perform data manipulation tasks such as Selecting, renaming and manipulating columns Filtering, dropping and aggregating rows Joining DataFrames Create UDFs and use them with DataFrame API or Spark SQL Writing DataFrames to external storage systems List and explain the element of Apache Spark execution hierarchy such as Jobs Stages Tasks Who this course is for: Software developers curious about big-data, data engeneering and data science Beginner data engineer who want to learn how to do work with databricks Beginner data scientist who want to learn how to do work with databricks For More Courses Visit & Bookmark Your Preferred Language Blog Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me
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