Udemy - Apache Spark 3 - Databricks Certified Associate Developer

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[ DevCourseWeb.com ] Udemy - Apache Spark 3 - Databricks Certified Associate Developer
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 01 - Apache Spark Architecture Distributed Processing
    • 001 What You Will Learn In This Section.mp4 (12.3 MB)
    • 001 What You Will Learn In This Section_en.vtt (0.7 KB)
    • 002 Distributed Processing How Apache Spark Runs On A Cluster.mp4 (189.9 MB)
    • 002 Distributed Processing How Apache Spark Runs On A Cluster_en.vtt (11.3 KB)
    • 003 Azure Databricks How To Create A Cluster.mp4 (25.2 MB)
    • 003 Azure Databricks How To Create A Cluster_en.vtt (6.8 KB)
    • 004 Databricks Community Edition How To Create A Cluster.mp4 (11.4 MB)
    • 004 Databricks Community Edition How To Create A Cluster_en.vtt (3.9 KB)
    02 - Apache Spark Architecture Distributed Data
    • 001 Install the course Dataset and Notbooks.mp4 (15.7 MB)
    • 001 Install the course Dataset and Notbooks_en.vtt (3.1 KB)
    • 002 Distributed Data The DataFrame.mp4 (64.1 MB)
    • 002 Distributed Data The DataFrame_en.vtt (10.2 KB)
    • 003 How To Define The Structure Of A DataFrame.mp4 (97.6 MB)
    • 003 How To Define The Structure Of A DataFrame_en.vtt (9.9 KB)
    • DCAD_Training.dbc (43.8 KB)
    • address.parquet (607.4 KB)
    • customer.json (38.4 MB)
    • item.dat (9.0 MB)
    • web_sales.csv (139.4 MB)
    03 - DataFrame Transformations
    • 001 Selecting Columns.mp4 (64.7 MB)
    • 001 Selecting Columns_en.vtt (9.8 KB)
    • 002 Renaming Columns.mp4 (8.1 MB)
    • 002 Renaming Columns_en.vtt (2.8 KB)
    • 003 Change Columns data type.mp4 (33.2 MB)
    • 003 Change Columns data type_en.vtt (4.8 KB)
    • 004 Adding Columns to a DataFrame.mp4 (29.9 MB)
    • 004 Adding Columns to a DataFrame_en.vtt (4.5 KB)
    • 005 Removing Columns from a DataFrame.mp4 (16.3 MB)
    • 005 Removing Columns from a DataFrame_en.vtt (2.7 KB)
    • 006 Basics Arithmetic with DataFrame.mp4 (23.8 MB)
    • 006 Basics Arithmetic with DataFrame_en.vtt (3.7 KB)
    • 007 Apache Spark Architecture DataFrame Immutability.mp4 (98.5 MB)
    • 007 Apache Spark Architecture DataFrame Immutability_en.vtt (10.1 KB)
    • 008 How To Filter A DataFrame.mp4 (51.4 MB)
    • 008 How To Filter A DataFrame_en.vtt (7.9 KB)
    • 009 Apache Spark Architecture Narrow Transformations.mp4 (6.7 MB)
    • 009 Apache Spark Architecture Narrow Transformations_en.vtt (2.2 KB)
    • 010 Dropping Rows.mp4 (14.1 MB)
    • 010 Dropping Rows_en.vtt (4.6 KB)
    • 011 Handling Null Values Part I - Null Functions.mp4 (29.5 MB)
    • 011 Handling Null Values Part I - Null Functions_en.vtt (3.9 KB)
    • 012 Handling Null Values Part II - DataFrameNaFunctions.mp4 (70.1 MB)
    • 012 Handling Null Values Part II - DataFrameNaFunctions_en.vtt (9.3 KB)
    • 013 Sort and Order Rows - Sort & OrderBy.mp4 (13.0 MB)
    • 013 Sort and Order Rows - Sort & OrderBy_en.vtt (4.9 KB)
    • 014 Create Group of Rows GroupBy.mp4 (42.6 MB)
    • 014 Create Group of Rows GroupBy_en.vtt (8.9 KB)
    • 015 DataFrame Statistics.mp4 (60.3 MB)
    • 015 DataFrame Statistics_en.vtt (9.8 KB)
    • 016 Joining DataFrames - Inner Join.mp4 (38.5 MB)
    • 016 Joining DataFrames - Inner Join_en.vtt (6.3 KB)
    • 017 Joining DataFrames - Right Outer Join.mp4 (17.8 MB)
    • 017 Joining DataFrames - Right Outer Join_en.vtt (5.6 KB)
    • 018 Joining DataFrames - Left Outer Join.mp4 (16.4 MB)
    • 018 Joining DataFrames - Left Outer Join_en.vtt (4.9 KB)
    • 019 Appending Rows to a DataFrame - Union.mp4 (42.0 MB)
    • 019 Appending Rows to a DataFrame - Union_en.vtt (6.0 KB)
    • 020 Cahing a DataFrame.mp4 (74.8 MB)
    • 020 Cahing a DataFrame_en.vtt (11.6 KB)
    • 021 DataFrameWriter Part I.mp4 (114.9 MB)
    • 021 DataFrameWriter Part I_en.vtt (14.4 KB)
    • 022 DataFrameWriter Part II - PartitionBy.mp4 (56.9 MB)
    • 022 DataFrameWriter Part II - PartitionBy_en.vtt (8.2 KB)
    • 023 User Defined Functions.mp4 (44.2 MB)
    • 023 User Defined Functions_en.vtt (11.2 KB)
    04 - Apache Spark Architecture Execution
    • 001 Query Planning.mp4 (102.4 MB)
    • 001 Query Planning_en.vtt (12.1 KB)
    • 002 Execution Hierarchy.mp4 (67.4 MB)
    • 002 Execution Hierarchy_en.vtt (7.3 KB)
    • 003 Partioning a DataFrame.mp4 (51.9 MB)
    • 003 Partioning a DataFrame_en.vtt (7.8 KB)
    • 004 Adaptive Query Execution - An Introductuction.mp4 (122.2 MB)
    • 004 Adaptive Query Execution - An Introductuction_en.vtt (15.0 KB)
    • external-assets-links.txt (0.3 KB)
    05 - Exam Logistics
    • 001 Exam Logistics.mp4 (134.8 MB)
    • 001 Exam Logistics_en.vtt (12.6 KB)
    • Bonus Resources.txt (0.4 KB)

Description

Apache Spark 3 - Databricks Certified Associate Developer



https://DevCourseWeb.com

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.87 GB | Duration: 4h 32m

Learn Apache Spark 3 With Scala & Earn the Databricks Associate Certification to prove your skills as data professional

What you'll learn
How to prepare for the Databricks Certified Associate Developer For Apache Spark 3 Certification Exam
The Architecture of an Apache Spark Application
Learn how Apache Spark runs on a cluster of computer
Learn the Execution Hierarchy of Apache Spark
Create DataFrame from files and Scala Collections
Spark DataFrame API and SQL functions
Learn the different techniques to select the columns of a DataFrame
How to define the schema of a DataFrame and set the data types of the columns
Apply various methods to manipulate the columns of a DataFrame
How to filter your DataFrame based on specifics rules
Learn how to sort data in a specific order
Learn how to sort rows of a DataFrame in a specific order
How to arrange the rows of DataFrame as groups
How to handle NULL Values in a DataFrame
How to use JOIN or UNION to combine two data sets
How you can save the result of complex data transformations to an external storage system
The different deployment modes of an Apache Spark Application
working with UDFs and Spark SQL functions
How to use Databricks Community Edition to write Apache Spark Code

Requirements
Basic Scala Knowledge
Basic data skills
NO Previous Spark Knowledge
Description
Do you want to learn how to handle massive amounts of data at scale?



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