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PacktPub | Apache Spark 3 for Data Engineering and Analytics with Python [Video] [FCO]

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16-09-2021 23:16

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File	Size
[00] Websites you may like/0. (1Hack.Us) Premium Tutorials-Guides-Articles _ Community based Forum.url	377.00 B
[00] Websites you may like/1. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url	286.00 B
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[00] Websites you may like/How you can help our Group!.txt	204.00 B
[0] Chapter 1 _ Introduction to Spark and Installation/[0] Introduction.mp4	47.10 MB
[0] Chapter 1 _ Introduction to Spark and Installation/[10] MacOS - PySpark Installation.mp4	31.96 MB
[0] Chapter 1 _ Introduction to Spark and Installation/[11] MacOS - Testing the Spark Installation.mp4	25.12 MB
[0] Chapter 1 _ Introduction to Spark and Installation/[12] Install Jupyter Notebooks.mp4	31.53 MB
[0] Chapter 1 _ Introduction to Spark and Installation/[13] The Spark Web UI.mp4	53.11 MB
[0] Chapter 1 _ Introduction to Spark and Installation/[14] Section Summary.mp4	14.17 MB
[0] Chapter 1 _ Introduction to Spark and Installation/[1] The Spark Architecture.mp4	31.65 MB
[0] Chapter 1 _ Introduction to Spark and Installation/[2] The Spark Unified Stack.mp4	32.64 MB
[0] Chapter 1 _ Introduction to Spark and Installation/[3] Java Installation.mp4	23.60 MB
[0] Chapter 1 _ Introduction to Spark and Installation/[4] Hadoop Installation.mp4	22.56 MB
[0] Chapter 1 _ Introduction to Spark and Installation/[5] Python Installation.mp4	14.76 MB
[0] Chapter 1 _ Introduction to Spark and Installation/[6] PySpark Installation.mp4	42.48 MB
[0] Chapter 1 _ Introduction to Spark and Installation/[7] Install Microsoft Build Tools.mp4	11.26 MB
[0] Chapter 1 _ Introduction to Spark and Installation/[8] MacOS - Java Installation.mp4	20.77 MB
[0] Chapter 1 _ Introduction to Spark and Installation/[9] MacOS - Python Installation.mp4	23.05 MB
[1] Chapter 2 _ Spark Execution Concepts/[15] Section Introduction.mp4	12.00 MB
[1] Chapter 2 _ Spark Execution Concepts/[16] Spark Application and Session.mp4	22.96 MB
[1] Chapter 2 _ Spark Execution Concepts/[17] Spark Transformations and Actions Part 1.mp4	37.03 MB
[1] Chapter 2 _ Spark Execution Concepts/[18] Spark Transformations and Actions Part 2.mp4	20.83 MB
[1] Chapter 2 _ Spark Execution Concepts/[19] DAG Visualisation.mp4	28.65 MB
[2] Chapter 3 _ RDD Crash Course/[20] Introduction to RDDs.mp4	37.92 MB
[2] Chapter 3 _ RDD Crash Course/[21] Data Preparation.mp4	17.45 MB
[2] Chapter 3 _ RDD Crash Course/[22] Distinct and Filter Transformations.mp4	19.81 MB
[2] Chapter 3 _ RDD Crash Course/[23] Map and Flat Map Transformations.mp4	22.11 MB
[2] Chapter 3 _ RDD Crash Course/[24] SortByKey Transformations.mp4	22.26 MB
[2] Chapter 3 _ RDD Crash Course/[25] RDD Actions.mp4	28.52 MB
[2] Chapter 3 _ RDD Crash Course/[26] Challenge - Convert Fahrenheit to Centigrade.mp4	28.72 MB
[2] Chapter 3 _ RDD Crash Course/[27] Challenge - XYZ Research.mp4	17.84 MB
[2] Chapter 3 _ RDD Crash Course/[28] Challenge - XYZ Research Part 1.mp4	24.61 MB
[2] Chapter 3 _ RDD Crash Course/[29] Challenge XYZ Research Part 2.mp4	14.94 MB
[3] Chapter 4 _ Structured API - Spark DataFrame/[30] Structured APIs Introduction.mp4	46.64 MB
[3] Chapter 4 _ Structured API - Spark DataFrame/[31] Preparing the Project Folder.mp4	24.97 MB
[3] Chapter 4 _ Structured API - Spark DataFrame/[32] PySpark DataFrame, Schema, and DataTypes.mp4	26.85 MB
[3] Chapter 4 _ Structured API - Spark DataFrame/[33] DataFrame Reader and Writer.mp4	36.77 MB
[3] Chapter 4 _ Structured API - Spark DataFrame/[34] Challenge Part 1 – Brief.mp4	38.33 MB
[3] Chapter 4 _ Structured API - Spark DataFrame/[35] Challenge Part 1 - Data Preparation.mp4	26.27 MB
[3] Chapter 4 _ Structured API - Spark DataFrame/[36] Working with Structured Operations.mp4	45.05 MB
[3] Chapter 4 _ Structured API - Spark DataFrame/[37] Managing Performance Errors.mp4	25.68 MB
[3] Chapter 4 _ Structured API - Spark DataFrame/[38] Reading a JSON File.mp4	39.03 MB
[3] Chapter 4 _ Structured API - Spark DataFrame/[39] Columns and Expressions.mp4	36.20 MB
[3] Chapter 4 _ Structured API - Spark DataFrame/[40] Filter and Where Conditions.mp4	32.83 MB
[3] Chapter 4 _ Structured API - Spark DataFrame/[41] Distinct Drop Duplicates Order By.mp4	21.19 MB
[3] Chapter 4 _ Structured API - Spark DataFrame/[42] Rows and Union.mp4	27.15 MB
[3] Chapter 4 _ Structured API - Spark DataFrame/[43] Adding, Renaming, and Dropping Columns.mp4	28.03 MB
[3] Chapter 4 _ Structured API - Spark DataFrame/[44] Working with Missing or Bad Data.mp4	30.03 MB
[3] Chapter 4 _ Structured API - Spark DataFrame/[45] Working with User-Defined Functions.mp4	22.47 MB
[3] Chapter 4 _ Structured API - Spark DataFrame/[46] Challenge Part 2 – Brief.mp4	57.94 MB
[3] Chapter 4 _ Structured API - Spark DataFrame/[47] Challenge Part 2 - Remove Null Row and Bad Records.mp4	37.59 MB
[3] Chapter 4 _ Structured API - Spark DataFrame/[48] Challenge Part 2 - Get the City and State.mp4	38.75 MB
[3] Chapter 4 _ Structured API - Spark DataFrame/[49] Challenge Part 2 - Rearrange the Schema.mp4	47.25 MB
[3] Chapter 4 _ Structured API - Spark DataFrame/[50] Challenge Part 2 - Write Partitioned DataFrame to Parquet.mp4	35.87 MB
[3] Chapter 4 _ Structured API - Spark DataFrame/[51] Aggregations.mp4	8.18 MB
[3] Chapter 4 _ Structured API - Spark DataFrame/[52] Aggregations - Setting Up Flight Summary Data.mp4	21.48 MB
[3] Chapter 4 _ Structured API - Spark DataFrame/[53] Aggregations - Count and Count Distinct.mp4	23.67 MB
[3] Chapter 4 _ Structured API - Spark DataFrame/[54] Aggregations - Min Max Sum SumDistinct AVG.mp4	21.61 MB
[3] Chapter 4 _ Structured API - Spark DataFrame/[55] Aggregations with Grouping.mp4	26.09 MB
[3] Chapter 4 _ Structured API - Spark DataFrame/[56] Challenge Part 3 – Brief.mp4	30.81 MB
[3] Chapter 4 _ Structured API - Spark DataFrame/[57] Challenge Part 3 - Prepare 2019 Data.mp4	21.89 MB
[3] Chapter 4 _ Structured API - Spark DataFrame/[58] Challenge Part 3 - Q1 Get the Best Sales Month.mp4	34.36 MB
[3] Chapter 4 _ Structured API - Spark DataFrame/[59] Challenge Part 3 - Q2 Get the City that Sold the Most Products.mp4	19.06 MB
[3] Chapter 4 _ Structured API - Spark DataFrame/[60] Challenge Part 3 - Q3 When to Advertise.mp4	39.16 MB
[3] Chapter 4 _ Structured API - Spark DataFrame/[61] Challenge Part 3 - Q4 Products Bought Together.mp4	43.15 MB
[4] Chapter 5 _ Introduction to Spark SQL and Databricks/[62] Introduction to DataBricks.mp4	22.29 MB
[4] Chapter 5 _ Introduction to Spark SQL and Databricks/[63] Spark SQL Introduction.mp4	22.75 MB
[4] Chapter 5 _ Introduction to Spark SQL and Databricks/[64] Register Account on Databricks.mp4	11.44 MB
[4] Chapter 5 _ Introduction to Spark SQL and Databricks/[65] Create a Databricks Cluster.mp4	11.49 MB
[4] Chapter 5 _ Introduction to Spark SQL and Databricks/[66] Creating our First 2 Databricks Notebooks.mp4	12.79 MB
[4] Chapter 5 _ Introduction to Spark SQL and Databricks/[67] Reading CSV Files into DataFrame.mp4	34.03 MB
[4] Chapter 5 _ Introduction to Spark SQL and Databricks/[68] Creating a Database and Table.mp4	36.39 MB
[4] Chapter 5 _ Introduction to Spark SQL and Databricks/[69] Inserting Records into a Table.mp4	33.49 MB
[4] Chapter 5 _ Introduction to Spark SQL and Databricks/[70] Exposing Bad Records.mp4	18.80 MB
[4] Chapter 5 _ Introduction to Spark SQL and Databricks/[71] Figuring out How to Remove Bad Records.mp4	15.44 MB
[4] Chapter 5 _ Introduction to Spark SQL and Databricks/[72] Extract the City and State.mp4	30.45 MB
[4] Chapter 5 _ Introduction to Spark SQL and Databricks/[73] Inserting Records to Final Sales Table.mp4	53.00 MB
[4] Chapter 5 _ Introduction to Spark SQL and Databricks/[74] What was the Best Month in Sales_.mp4	26.19 MB
[4] Chapter 5 _ Introduction to Spark SQL and Databricks/[75] Get the City that Sold the Most Products.mp4	7.64 MB
[4] Chapter 5 _ Introduction to Spark SQL and Databricks/[76] Get the Right Time to Advertise.mp4	12.31 MB
[4] Chapter 5 _ Introduction to Spark SQL and Databricks/[77] Get the Most Products Sold Together.mp4	24.93 MB
[4] Chapter 5 _ Introduction to Spark SQL and Databricks/[78] Create a Dashboard.mp4	12.23 MB
[4] Chapter 5 _ Introduction to Spark SQL and Databricks/[79] Summary.mp4	30.53 MB

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Description

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