kingers Posted April 19 Report Share Posted April 19 Best Hands-On Big Data Practices With Pyspark & Spark Tuning Last updated 8/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 5.48 GB[/center] | Duration: 10h 16m [NEW] Semi-Structured (JSON), Structured and Unstructured Data Analysis with Spark and Python & Spark Performance Tuning What you'll learn Understand Apache Spark's framework, execution and programming model for the development of Big Data Systems Learn how to work with a free Cloud-based and a Desktop machine for Spark setup and configuration Build simple to advanced Big Data applications for different types of data (volume, variety, veracity) through real case studies Learn step-by-step hands-on PySpark practices on structured, unstructured and semi-structured data using RDD, DataFrame and SQL Investigate and apply optimization and performance tuning methods to manage data Skewness and prevent Spill Investigate and apply Adaptive Query Execution (AQE) to optimize Spark SQL query execution at runtime Requirements Very basic Python and SQL If you are new to Python programming, Don't worry at all, you can learn it freely through my YouTube channel. Subscribe to my YouTube channel and keep learning without any hassle Description In this course, students will be provided with hands-on PySpark practices using real case studies from academia and industry to be able to work interactively with massive data. In addition, students will consider distributed processing challenges, such as data skewness and spill within big data processing. We designed this course for anyone seeking to master Spark and PySpark and Spread the knowledge of Big Data Analytics using real and challenging use cases.We will work with Spark RDD, DF, and SQL to process huge sized of data in the format of semi-structured, structured, and unstructured data. The learning outcomes and the teaching approach in this course will accelerate the learning by Identifying the most critical required skills in the industry and understanding the demands of Big Data analytics content.We will not only cover the details of the Spark engine for large-scale data processing, but also we will drill down big data problems that allow users to instantly shift from an overview of large-scale data to a more detailed and granular view using RDD, DF and SQL in real-life examples. We will walk through the Big Data case studies step by step to achieve the aim of this course.By the end of the course, you will be able to build Big Data applications for different types of data (volume, variety, veracity) and you will get acquainted with best-in-class examples of Big Data problems using PySpark. Overview Section 1: Introduction to Course Lecture 1 Learn Hands-on Python on my YouTube Channel (free) Lecture 2 We Would Like to Know What You Think! Lecture 3 PySpark for Parallel Processing Lecture 4 Spark Coding Environment Lecture 5 PySpark Coding review using RDD (part_1) Lecture 6 PySpark Coding review using RDD (part_2) Lecture 7 PySpark Coding review using DF (part_1) Lecture 8 PySpark Coding review using DF (part_2) Section 2: PySpark for a large Semi-Structured (JSON) File Lecture 9 JSON analysis using RDD Lecture 10 JSON analysis using DF Section 3: PySpark for a large Structured File Lecture 11 Structured Data Analysis using RDD Lecture 12 Structured Data Analysis using DF Section 4: PySpark for a large Unstructured (LOG) File Lecture 13 RDD for Log File Analysis Section 5: Distributed Processing Challenges and Spark Performance Tuning (Practices) Lecture 14 Optimizing the Skewed Data in Spark (part_1) Lecture 15 Optimizing the Skewed Data in Spark (part_2) Lecture 16 Optimizing the Skewed Data in Spark (part_3) Lecture 17 Spark Optimization for Better Performance (Prevent Spill) Lecture 18 Spark Optimization using Adaptive Query Execution_1 Lecture 19 Spark Optimization using Adaptive Query Execution_2 Beginner/Junior/Senior Data Developers who want to master Spark/PySpark and Spread the knowledge of Big Data Analytics,If you are new to Python programming, Don't worry at all, you can learn it freely through my YouTube channel. Subscribe to my YouTube channel and keep learning without any hasslehttps://voltupload.com/rn3twq10jqk5/_Best_Hands-on_Big_Data_Practices_with_PySpark__Spark_Tuning_2022-8.z01https://voltupload.com/t0nzz7vk0a8t/_Best_Hands-on_Big_Data_Practices_with_PySpark__Spark_Tuning_2022-8.z02https://voltupload.com/8rrksi53b4ys/_Best_Hands-on_Big_Data_Practices_with_PySpark__Spark_Tuning_2022-8.z03https://voltupload.com/ylc228go68qx/_Best_Hands-on_Big_Data_Practices_with_PySpark__Spark_Tuning_2022-8.z04https://voltupload.com/c3z0nkxjhc0x/_Best_Hands-on_Big_Data_Practices_with_PySpark__Spark_Tuning_2022-8.z05https://voltupload.com/rbydmqdn2hnj/_Best_Hands-on_Big_Data_Practices_with_PySpark__Spark_Tuning_2022-8.ziphttps://rapidgator.net/file/0592b43f4c8b1056ec86d937caae239b/_Best_Hands-on_Big_Data_Practices_with_PySpark__Spark_Tuning_2022-8.z01https://rapidgator.net/file/16f56426eddc32ba3799625b94e402d7/_Best_Hands-on_Big_Data_Practices_with_PySpark__Spark_Tuning_2022-8.z02https://rapidgator.net/file/58e18d996d04aca3ade6d7b2401b2051/_Best_Hands-on_Big_Data_Practices_with_PySpark__Spark_Tuning_2022-8.z03https://rapidgator.net/file/c5a14ef8dbbbca8bd892ebe1eb7e3543/_Best_Hands-on_Big_Data_Practices_with_PySpark__Spark_Tuning_2022-8.z04https://rapidgator.net/file/93da0d0de5df0797095301a0a894428b/_Best_Hands-on_Big_Data_Practices_with_PySpark__Spark_Tuning_2022-8.z05https://rapidgator.net/file/baee25b7db75516226ab8fc076304591/_Best_Hands-on_Big_Data_Practices_with_PySpark__Spark_Tuning_2022-8.zipFree search engine download: Udemy - Best Hands-on Big Data Practices with PySpark & Spark Tuning 2022-8 Link to comment Share on other sites More sharing options...
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