[FreeCoursesOnline.Me] PacktPub - Apache Spark 3 for Data Engineering and Analytics with Python

[FreeCoursesOnline.Me] PacktPub - Apache Spark 3 for Data Engineering and Analytics with Python

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2.2 GB
Seeders
4
Leechers
3
Files
81
Category
Other
Added
09/17/21 at 1:01am GMT+1
Infohash
25d04b48387a14d6d1036ea5c872f8e04b040091

Description
Lynda and other Courses >>> https://www.freecoursesonline.me/

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Forum for discussion >>> https://1hack.us/







By: David Mngadi

Released: August 2021

Course Source: https://www.packtpub.com/product/apache-spark-3-for-data-engineering-and-analytics-with-python-video/9781803244303



Video Details



ISBN 9781803244303

Course Length 8 hours 30 minutes



About



Apache Spark 3 is an open-source distributed engine for querying and processing data. This course will provide you with a detailed understanding of PySpark and its stack. This course is carefully developed and designed to guide you through the process of data analytics using Python Spark. The author uses an interactive approach in explaining keys concepts of PySpark such as the Spark architecture, Spark execution, transformations and actions using the structured API, and much more. You will be able to leverage the power of Python, Java, and SQL and put it to use in the Spark ecosystem.



You will start by getting a firm understanding of the Apache Spark architecture and how to set up a Python environment for Spark. Followed by the techniques for collecting, cleaning, and visualizing data by creating dashboards in Databricks. You will learn how to use SQL to interact with DataFrames. The author provides an in-depth review of RDDs and contrasts them with DataFrames.



There are multiple problem challenges provided at intervals in the course so that you get a firm grasp of the concepts taught in the course.



The code bundle for this course is available here: https://github.com/PacktPublishing/Apache-Spark-3-for-Data-Engineering-and-Analytics-with-Python-



Author



David Mngadi



David is a data management professional who is influenced by the power of data in our lives and has helped several companies become more data-driven to gain a competitive edge as well as meet the regulatory requirements. In the last 15 years, he has had the pleasure of designing and implementing data warehousing solutions in retail, telco, and banking industries, and recently in more big data lake-specific implementations. He is passionate about technology and teaching programming online.






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File list
  • [FreeCoursesOnline.Me] PacktPub - Apache Spark 3 for Data Engineering and Analytics with Python
  • [00] Websites you may like/How you can help our Group!.txt 204 B
  • [0] Chapter 1 _ Introduction to Spark and Installation/[0] Introduction.mp4 47.1 MB
  • [0] Chapter 1 _ Introduction to Spark and Installation/[10] MacOS - PySpark Installation.mp4 32 MB
  • [0] Chapter 1 _ Introduction to Spark and Installation/[11] MacOS - Testing the Spark Installation.mp4 25.1 MB
  • [0] Chapter 1 _ Introduction to Spark and Installation/[12] Install Jupyter Notebooks.mp4 31.5 MB
  • [0] Chapter 1 _ Introduction to Spark and Installation/[13] The Spark Web UI.mp4 53.1 MB
  • [0] Chapter 1 _ Introduction to Spark and Installation/[14] Section Summary.mp4 14.2 MB
  • [0] Chapter 1 _ Introduction to Spark and Installation/[1] The Spark Architecture.mp4 31.7 MB
  • [0] Chapter 1 _ Introduction to Spark and Installation/[2] The Spark Unified Stack.mp4 32.6 MB
  • [0] Chapter 1 _ Introduction to Spark and Installation/[3] Java Installation.mp4 23.6 MB
  • [0] Chapter 1 _ Introduction to Spark and Installation/[4] Hadoop Installation.mp4 22.6 MB
  • [0] Chapter 1 _ Introduction to Spark and Installation/[5] Python Installation.mp4 14.8 MB
  • [0] Chapter 1 _ Introduction to Spark and Installation/[6] PySpark Installation.mp4 42.5 MB
  • [0] Chapter 1 _ Introduction to Spark and Installation/[7] Install Microsoft Build Tools.mp4 11.3 MB
  • [0] Chapter 1 _ Introduction to Spark and Installation/[8] MacOS - Java Installation.mp4 20.8 MB
  • [0] Chapter 1 _ Introduction to Spark and Installation/[9] MacOS - Python Installation.mp4 23.1 MB
  • [1] Chapter 2 _ Spark Execution Concepts/[15] Section Introduction.mp4 12 MB
  • [1] Chapter 2 _ Spark Execution Concepts/[16] Spark Application and Session.mp4 23 MB
  • [1] Chapter 2 _ Spark Execution Concepts/[17] Spark Transformations and Actions Part 1.mp4 37 MB
  • [1] Chapter 2 _ Spark Execution Concepts/[18] Spark Transformations and Actions Part 2.mp4 20.8 MB
  • [1] Chapter 2 _ Spark Execution Concepts/[19] DAG Visualisation.mp4 28.6 MB
  • [2] Chapter 3 _ RDD Crash Course/[20] Introduction to RDDs.mp4 37.9 MB
  • [2] Chapter 3 _ RDD Crash Course/[21] Data Preparation.mp4 17.4 MB
  • [2] Chapter 3 _ RDD Crash Course/[22] Distinct and Filter Transformations.mp4 19.8 MB
  • [2] Chapter 3 _ RDD Crash Course/[23] Map and Flat Map Transformations.mp4 22.1 MB
  • [2] Chapter 3 _ RDD Crash Course/[24] SortByKey Transformations.mp4 22.3 MB
  • [2] Chapter 3 _ RDD Crash Course/[25] RDD Actions.mp4 28.5 MB
  • [2] Chapter 3 _ RDD Crash Course/[26] Challenge - Convert Fahrenheit to Centigrade.mp4 28.7 MB
  • [2] Chapter 3 _ RDD Crash Course/[27] Challenge - XYZ Research.mp4 17.8 MB
  • [2] Chapter 3 _ RDD Crash Course/[28] Challenge - XYZ Research Part 1.mp4 24.6 MB
  • [2] Chapter 3 _ RDD Crash Course/[29] Challenge XYZ Research Part 2.mp4 14.9 MB
  • [3] Chapter 4 _ Structured API - Spark DataFrame/[30] Structured APIs Introduction.mp4 46.6 MB
  • [3] Chapter 4 _ Structured API - Spark DataFrame/[31] Preparing the Project Folder.mp4 25 MB
  • [3] Chapter 4 _ Structured API - Spark DataFrame/[32] PySpark DataFrame, Schema, and DataTypes.mp4 26.9 MB
  • [3] Chapter 4 _ Structured API - Spark DataFrame/[33] DataFrame Reader and Writer.mp4 36.8 MB
  • [3] Chapter 4 _ Structured API - Spark DataFrame/[34] Challenge Part 1 – Brief.mp4 38.3 MB
  • [3] Chapter 4 _ Structured API - Spark DataFrame/[35] Challenge Part 1 - Data Preparation.mp4 26.3 MB
  • [3] Chapter 4 _ Structured API - Spark DataFrame/[36] Working with Structured Operations.mp4 45 MB
  • [3] Chapter 4 _ Structured API - Spark DataFrame/[37] Managing Performance Errors.mp4 25.7 MB
  • [3] Chapter 4 _ Structured API - Spark DataFrame/[38] Reading a JSON File.mp4 39 MB
  • [3] Chapter 4 _ Structured API - Spark DataFrame/[39] Columns and Expressions.mp4 36.2 MB
  • [3] Chapter 4 _ Structured API - Spark DataFrame/[40] Filter and Where Conditions.mp4 32.8 MB
  • [3] Chapter 4 _ Structured API - Spark DataFrame/[41] Distinct Drop Duplicates Order By.mp4 21.2 MB
  • [3] Chapter 4 _ Structured API - Spark DataFrame/[42] Rows and Union.mp4 27.2 MB
  • [3] Chapter 4 _ Structured API - Spark DataFrame/[43] Adding, Renaming, and Dropping Columns.mp4 28 MB
  • [3] Chapter 4 _ Structured API - Spark DataFrame/[44] Working with Missing or Bad Data.mp4 30 MB
  • [3] Chapter 4 _ Structured API - Spark DataFrame/[45] Working with User-Defined Functions.mp4 22.5 MB
  • [3] Chapter 4 _ Structured API - Spark DataFrame/[46] Challenge Part 2 – Brief.mp4 57.9 MB
  • [3] Chapter 4 _ Structured API - Spark DataFrame/[47] Challenge Part 2 - Remove Null Row and Bad Records.mp4 37.6 MB
  • [3] Chapter 4 _ Structured API - Spark DataFrame/[48] Challenge Part 2 - Get the City and State.mp4 38.8 MB
  • [3] Chapter 4 _ Structured API - Spark DataFrame/[49] Challenge Part 2 - Rearrange the Schema.mp4 47.2 MB
  • [3] Chapter 4 _ Structured API - Spark DataFrame/[50] Challenge Part 2 - Write Partitioned DataFrame to Parquet.mp4 35.9 MB
  • [3] Chapter 4 _ Structured API - Spark DataFrame/[51] Aggregations.mp4 8.2 MB
  • [3] Chapter 4 _ Structured API - Spark DataFrame/[52] Aggregations - Setting Up Flight Summary Data.mp4 21.5 MB
  • [3] Chapter 4 _ Structured API - Spark DataFrame/[53] Aggregations - Count and Count Distinct.mp4 23.7 MB
  • [3] Chapter 4 _ Structured API - Spark DataFrame/[54] Aggregations - Min Max Sum SumDistinct AVG.mp4 21.6 MB
  • [3] Chapter 4 _ Structured API - Spark DataFrame/[55] Aggregations with Grouping.mp4 26.1 MB
  • [3] Chapter 4 _ Structured API - Spark DataFrame/[56] Challenge Part 3 – Brief.mp4 30.8 MB
  • [3] Chapter 4 _ Structured API - Spark DataFrame/[57] Challenge Part 3 - Prepare 2019 Data.mp4 21.9 MB
  • [3] Chapter 4 _ Structured API - Spark DataFrame/[58] Challenge Part 3 - Q1 Get the Best Sales Month.mp4 34.4 MB
  • [3] Chapter 4 _ Structured API - Spark DataFrame/[59] Challenge Part 3 - Q2 Get the City that Sold the Most Products.mp4 19.1 MB
  • [3] Chapter 4 _ Structured API - Spark DataFrame/[60] Challenge Part 3 - Q3 When to Advertise.mp4 39.2 MB
  • [3] Chapter 4 _ Structured API - Spark DataFrame/[61] Challenge Part 3 - Q4 Products Bought Together.mp4 43.2 MB
  • [4] Chapter 5 _ Introduction to Spark SQL and Databricks/[62] Introduction to DataBricks.mp4 22.3 MB
  • [4] Chapter 5 _ Introduction to Spark SQL and Databricks/[63] Spark SQL Introduction.mp4 22.8 MB
  • [4] Chapter 5 _ Introduction to Spark SQL and Databricks/[64] Register Account on Databricks.mp4 11.4 MB
  • [4] Chapter 5 _ Introduction to Spark SQL and Databricks/[65] Create a Databricks Cluster.mp4 11.5 MB
  • [4] Chapter 5 _ Introduction to Spark SQL and Databricks/[66] Creating our First 2 Databricks Notebooks.mp4 12.8 MB
  • [4] Chapter 5 _ Introduction to Spark SQL and Databricks/[67] Reading CSV Files into DataFrame.mp4 34 MB
  • [4] Chapter 5 _ Introduction to Spark SQL and Databricks/[68] Creating a Database and Table.mp4 36.4 MB
  • [4] Chapter 5 _ Introduction to Spark SQL and Databricks/[69] Inserting Records into a Table.mp4 33.5 MB
  • [4] Chapter 5 _ Introduction to Spark SQL and Databricks/[70] Exposing Bad Records.mp4 18.8 MB
  • [4] Chapter 5 _ Introduction to Spark SQL and Databricks/[71] Figuring out How to Remove Bad Records.mp4 15.4 MB
  • [4] Chapter 5 _ Introduction to Spark SQL and Databricks/[72] Extract the City and State.mp4 30.4 MB
  • [4] Chapter 5 _ Introduction to Spark SQL and Databricks/[73] Inserting Records to Final Sales Table.mp4 53 MB
  • [4] Chapter 5 _ Introduction to Spark SQL and Databricks/[74] What was the Best Month in Sales_.mp4 26.2 MB
  • [4] Chapter 5 _ Introduction to Spark SQL and Databricks/[75] Get the City that Sold the Most Products.mp4 7.6 MB
  • [4] Chapter 5 _ Introduction to Spark SQL and Databricks/[76] Get the Right Time to Advertise.mp4 12.3 MB
  • [4] Chapter 5 _ Introduction to Spark SQL and Databricks/[77] Get the Most Products Sold Together.mp4 24.9 MB
  • [4] Chapter 5 _ Introduction to Spark SQL and Databricks/[78] Create a Dashboard.mp4 12.2 MB
  • [4] Chapter 5 _ Introduction to Spark SQL and Databricks/[79] Summary.mp4 30.5 MB

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