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种子名称： [FreeCourseSite.com] Udemy - Databricks Fundamentals & Apache Spark Core
文件类型： 视频
文件数目： 71个文件
文件大小： 4.84 GB
收录时间： 2022-3-21 18:05
已经下载： 3次
资源热度： 147
最近下载： 2024-5-23 02:04

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[FreeCourseSite.com] Udemy - Databricks Fundamentals & Apache Spark Core.torrent

01 - Setup/001 Introduction.mp432.53MB

01 - Setup/002 Create a Databricks community account.mp416.29MB

01 - Setup/003 Install the Dataset.mp418.57MB

01 - Setup/004 Overview of the dataset.mp433.62MB

01 - Setup/005 Install the notebooks.mp48.2MB

02 - Introduction to Databricks and Apache Spark/001 Introduction to databricks.mp415.55MB

02 - Introduction to Databricks and Apache Spark/002 Write your first Apache Spark Code.mp426.75MB

02 - Introduction to Databricks and Apache Spark/003 Apache Spark Architecture How Apache Spark runs on a cluster.mp4145.52MB

02 - Introduction to Databricks and Apache Spark/004 Practice Find customer with the same birthday as you.mp44.57MB

03 - The DataFrame API Basics/001 Create a DataFrame from a CSV file.mp416.6MB

03 - The DataFrame API Basics/002 Configure options to read a CSV file.mp436.78MB

03 - The DataFrame API Basics/003 How to select columns from a DataFrame.mp427.25MB

03 - The DataFrame API Basics/004 How to reference columns of a DataFrame.mp426.08MB

03 - The DataFrame API Basics/005 Understand the DataFrame Schema Part 1.mp45.9MB

03 - The DataFrame API Basics/006 Understand the DataFrame Schema Part 2.mp423.23MB

03 - The DataFrame API Basics/007 Specify a DataFrame Schema using a DDL-formatted string Part 1.mp411.96MB

03 - The DataFrame API Basics/008 Specify a DataFrame Schema using a DDL-formatted string Part 2.mp431.15MB

03 - The DataFrame API Basics/009 Spark Architecture The Organization of a DataFrame.mp430.9MB

04 - The DataFrame API Transforming Data/001 Adding columns to a DataFrame.mp442.5MB

04 - The DataFrame API Transforming Data/002 Renaming columns of a DataFrame.mp436.35MB

04 - The DataFrame API Transforming Data/003 Removing columns from a DataFrame.mp43.92MB

04 - The DataFrame API Transforming Data/004 Filtering rows from a DataFrame.mp450.05MB

04 - The DataFrame API Transforming Data/005 Joining multiple DataFrames Part 1.mp429.11MB

04 - The DataFrame API Transforming Data/006 Joining multiple DataFrames Part 2.mp464.93MB

04 - The DataFrame API Transforming Data/007 Aggregation Count.mp410.43MB

04 - The DataFrame API Transforming Data/008 Aggregation Count Distinct.mp45.91MB

04 - The DataFrame API Transforming Data/009 Aggregation Get the Min value.mp436.88MB

04 - The DataFrame API Transforming Data/010 Aggregation Get the Max value.mp44.61MB

04 - The DataFrame API Transforming Data/011 Aggregation Get the Sum and SumDistinct.mp421.51MB

04 - The DataFrame API Transforming Data/012 Aggregation Average and Mean.mp413.29MB

04 - The DataFrame API Transforming Data/013 Aggregation Grouping data - Part 1.mp412.57MB

04 - The DataFrame API Transforming Data/014 Aggregation Grouping data - Part 2.mp455.1MB

04 - The DataFrame API Transforming Data/015 Practice Business Query 1.mp4150.23MB

04 - The DataFrame API Transforming Data/016 Practice Business Query 2.mp4126.43MB

04 - The DataFrame API Transforming Data/017 Apache Spark Architecture How Apache Spark Transforms data Internally.mp4270.87MB

04 - The DataFrame API Transforming Data/018 User Defined Function.mp4140.13MB

05 - Spark SQL & SQL Fundamentals/001 Run SQL on a DataFrame TempView.mp495.26MB

05 - Spark SQL & SQL Fundamentals/002 Run SQL on a DataFrame GlobalView.mp444.38MB

05 - Spark SQL & SQL Fundamentals/003 Databases List, Create, Delete, Select.mp428.58MB

05 - Spark SQL & SQL Fundamentals/004 Tables Unmanaged.mp483.34MB

05 - Spark SQL & SQL Fundamentals/005 Tables Managed.mp4107.74MB

05 - Spark SQL & SQL Fundamentals/006 SQL Fundamentals Select Clause & Select Expression.mp4114.18MB

05 - Spark SQL & SQL Fundamentals/007 SQL Fundamentals Where Clause, Equality Checks.mp4111.9MB

05 - Spark SQL & SQL Fundamentals/008 SQL Fundamentals Handling NULLs in Where Clause.mp419.68MB

05 - Spark SQL & SQL Fundamentals/009 SQL Fundamentals Aggregations - Sum, Count, AVG, Mean.mp455.99MB

05 - Spark SQL & SQL Fundamentals/010 SQL Fundamentals Group By Clause.mp447.05MB

05 - Spark SQL & SQL Fundamentals/011 SQL Fundamentals Having Clause.mp485.81MB

05 - Spark SQL & SQL Fundamentals/012 SQL Fundamentals Order By Clause.mp421.31MB

05 - Spark SQL & SQL Fundamentals/013 SQL Fundamentals Inner Joins.mp444.71MB

05 - Spark SQL & SQL Fundamentals/014 SQL Fundamentals Left Outer Joins.mp471.31MB

05 - Spark SQL & SQL Fundamentals/015 SQL Fundamentals Right Outer Joins.mp447.06MB

05 - Spark SQL & SQL Fundamentals/016 SQL Fundamentals Predicates and Operators, like predicate.mp424.54MB

05 - Spark SQL & SQL Fundamentals/017 SQL Fundamentals Case Expressions.mp419.85MB

05 - Spark SQL & SQL Fundamentals/018 Practice Business Query 3.mp4160.28MB

05 - Spark SQL & SQL Fundamentals/019 Practice Business Query 4.mp4120.69MB

05 - Spark SQL & SQL Fundamentals/020 Practice Business Query 5.mp432.55MB

06 - Working with different type of data/001 Specify the Schema of a DataFrame with StructType.mp494.99MB

06 - Working with different type of data/002 Converting literals to Spark Types The lit function.mp448.37MB

06 - Working with different type of data/003 Working with booleans.mp475.96MB

06 - Working with different type of data/004 Working with numbers.mp4132.09MB

06 - Working with different type of data/005 Working with strings.mp4142.74MB

06 - Working with different type of data/006 Working with dates and timestamps.mp4273.67MB

06 - Working with different type of data/007 Complex Types Structs.mp493.19MB

06 - Working with different type of data/008 Complex Types Arrays.mp4115.9MB

06 - Working with different type of data/009 Complex Types Maps.mp440.36MB

06 - Working with different type of data/010 Handling NULL Values Drop NULL Values.mp4143.93MB

06 - Working with different type of data/011 Handling NULL Values Replace NULL Values.mp462.27MB

07 - Data Sources/001 DataFrameReader Read CSV Files.mp4294.34MB

07 - Data Sources/002 DataFrameReader Read JSON Files.mp4171.35MB

07 - Data Sources/003 DataFrameWriter Write Data.mp4324.03MB

07 - Data Sources/004 Create DataFrame manually.mp424.58MB