[CourseClub.Me] Skillshare - Apache Spark 3 Fundamentals

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[CourseClub.Me] Skillshare - Apache Spark 3 Fundamentals

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收录时间：2023-12-26
最近下载：2025-09-19

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文件列表

  • 5. Cleaning and Transforming Data with DataFrames/6. Applying Transformations.mp4 29.9 MB
  • 03. Setting up Spark Environment/03. Installing Spark.mp4 23.5 MB
  • 2. Getting Started with Apache Spark/5. How Execution Happens in Spark.mp4 20.8 MB
  • 4. Working with RDDs - Resilient Distributed Datasets/8. Spark Application Concepts - Jobs, Stages and Tasks.mp4 19.6 MB
  • 09. Building Reliable Data Lake with Spark and Delta Lake/05. Creating Delta Tables.mp4 18.3 MB
  • 8. Features in Apache Spark 3/5. Dynamic Partition Pruning.mp4 18.1 MB
  • 07. Performing Optimizations in Spark/08. Dynamic Resource Allocation.mp4 18.0 MB
  • 8. Features in Apache Spark 3/4. Adaptive Query Execution - Handling Skew.mp4 17.8 MB
  • 09. Building Reliable Data Lake with Spark and Delta Lake/07. Performing DML Operations.mp4 16.8 MB
  • 6. Working with Spark SQL, UDFs, and Common DataFrame Operations/5. Performing Operations on Multiple Datasets.mp4 16.2 MB
  • 07. Performing Optimizations in Spark/02. Working with Spark Partitions.mp4 16.1 MB
  • 8. Features in Apache Spark 3/3. Adaptive Query Execution - Dynamic Join.mp4 16.0 MB
  • 4. Working with RDDs - Resilient Distributed Datasets/7. Wide Transformations and Data Shuffling.mp4 15.9 MB
  • 10. Handling Streaming Data with Spark Structured Streaming/4. Extracting Streaming Data from Source.mp4 15.8 MB
  • 10. Handling Streaming Data with Spark Structured Streaming/5. Transforming and Loading Data.mp4 15.3 MB
  • 5. Cleaning and Transforming Data with DataFrames/4. Applying Schemas.mp4 15.2 MB
  • 6. Working with Spark SQL, UDFs, and Common DataFrame Operations/3. Working with Spark Tables.mp4 15.1 MB
  • 6. Working with Spark SQL, UDFs, and Common DataFrame Operations/6. Performing Window Operations.mp4 14.5 MB
  • 09. Building Reliable Data Lake with Spark and Delta Lake/02. Need for Delta Lake with Spark.mp4 14.4 MB
  • 5. Cleaning and Transforming Data with DataFrames/5. Analyzing and Cleaning Data.mp4 14.3 MB
  • 4. Working with RDDs - Resilient Distributed Datasets/2. Understanding RDDs.mp4 14.2 MB
  • 09. Building Reliable Data Lake with Spark and Delta Lake/03. How Delta Lake Works.mp4 13.8 MB
  • 4. Working with RDDs - Resilient Distributed Datasets/3. Creating RDDs.mp4 13.7 MB
  • 4. Working with RDDs - Resilient Distributed Datasets/5. Applying Operations on RDDs.mp4 13.6 MB
  • 07. Performing Optimizations in Spark/05. Persisting Data.mp4 13.4 MB
  • 07. Performing Optimizations in Spark/06. Spark Join Strategies and Broadcast Joins.mp4 13.2 MB
  • 5. Cleaning and Transforming Data with DataFrames/8. Saving Processed Data to Files.mp4 13.2 MB
  • 03. Setting up Spark Environment/09. Setting Up Multi-Node Cluster.mp4 13.2 MB
  • 5. Cleaning and Transforming Data with DataFrames/3. Creating DataFrames.mp4 13.0 MB
  • 8. Features in Apache Spark 3/2. Adaptive Query Execution - Dynamic Coalescing.mp4 12.5 MB
  • 5. Cleaning and Transforming Data with DataFrames/2. Understanding DataFrames.mp4 12.2 MB
  • 6. Working with Spark SQL, UDFs, and Common DataFrame Operations/2. Running SQL Queries on DataFrames.mp4 12.2 MB
  • 4. Working with RDDs - Resilient Distributed Datasets/4. Working with Pair RDDs.mp4 11.8 MB
  • 03. Setting up Spark Environment/06. Option 2 - Running Spark with Jupyter Notebooks.mp4 11.8 MB
  • 10. Handling Streaming Data with Spark Structured Streaming/3. Structured Streaming Processing Model.mp4 11.7 MB
  • 07. Performing Optimizations in Spark/03. Changing DataFrame Partitions.mp4 11.3 MB
  • 2. Getting Started with Apache Spark/3. Need for Apache Spark.mp4 10.7 MB
  • 09. Building Reliable Data Lake with Spark and Delta Lake/09. Accessing Data with Time Travel.mp4 10.5 MB
  • 07. Performing Optimizations in Spark/07. Optimizing Shuffle Sort Join with Bucketing.mp4 10.4 MB
  • 03. Setting up Spark Environment/08. Option 4 - Running Jobs with Spark Submit.mp4 10.0 MB
  • 03. Setting up Spark Environment/05. Option 1 - Running Spark in Command Line.mp4 9.9 MB
  • 07. Performing Optimizations in Spark/04. Memory Management.mp4 9.6 MB
  • 11. Working with Spark in Cloud/2. Using Spark in Databricks.mp4 9.4 MB
  • 6. Working with Spark SQL, UDFs, and Common DataFrame Operations/4. Working with User Defined Functions (UDFs).mp4 9.3 MB
  • 10. Handling Streaming Data with Spark Structured Streaming/2. Understanding Streaming in Spark.mp4 9.1 MB
  • 03. Setting up Spark Environment/02. Understanding Spark Environments.mp4 9.0 MB
  • 5. Cleaning and Transforming Data with DataFrames/7. Handling Corrupt Data.mp4 8.8 MB
  • 03. Setting up Spark Environment/07. Option 3 - Creating Project with PyCharm IDE.mp4 8.8 MB
  • 11. Working with Spark in Cloud/3. Using Spark in Azure Synapse Analytics.mp4 8.5 MB
  • 4. Working with RDDs - Resilient Distributed Datasets/6. Using Narrow Transformations.mp4 8.3 MB
  • 2. Getting Started with Apache Spark/4. Understanding Spark Architecture and Ecosystem.mp4 7.3 MB
  • 8. Features in Apache Spark 3/1. Introduction to Apache Spark 3.mp4 7.2 MB
  • 09. Building Reliable Data Lake with Spark and Delta Lake/06. Inserting Data to Delta Table.mp4 6.8 MB
  • 09. Building Reliable Data Lake with Spark and Delta Lake/04. ACID Guarantees on Delta Lake.mp4 6.7 MB
  • 09. Building Reliable Data Lake with Spark and Delta Lake/08. Applying Table Constraints.mp4 6.7 MB
  • 03. Setting up Spark Environment/04. Monitoring Spark with Web UI.mp4 5.6 MB
  • 2. Getting Started with Apache Spark/6. Spark APIs – RDDs, DataFrames and Datasets.mp4 5.5 MB
  • 07. Performing Optimizations in Spark/09. Resource Allocation Using Fair Scheduling.mp4 5.0 MB
  • 4. Working with RDDs - Resilient Distributed Datasets/9. Summary.mp4 4.1 MB
  • 8. Features in Apache Spark 3/6. Summary.mp4 3.9 MB
  • 1. Course Overview/1. Course Trailer.mp4 3.7 MB
  • 5. Cleaning and Transforming Data with DataFrames/9. Summary.mp4 3.6 MB
  • 2. Getting Started with Apache Spark/1. Introduction and Course Outline.mp4 3.5 MB
  • 07. Performing Optimizations in Spark/10. Summary.mp4 3.5 MB
  • 2. Getting Started with Apache Spark/7. Summary.mp4 3.5 MB
  • 09. Building Reliable Data Lake with Spark and Delta Lake/10. Summary.mp4 3.1 MB
  • 6. Working with Spark SQL, UDFs, and Common DataFrame Operations/7. Summary.mp4 3.1 MB
  • 03. Setting up Spark Environment/10. Summary.mp4 2.7 MB
  • 10. Handling Streaming Data with Spark Structured Streaming/6. Summary.mp4 2.3 MB
  • 11. Working with Spark in Cloud/4. Summary.mp4 2.3 MB
  • 03. Setting up Spark Environment/01. Module Overview.mp4 1.7 MB
  • 07. Performing Optimizations in Spark/01. Module Overview.mp4 1.4 MB
  • 5. Cleaning and Transforming Data with DataFrames/1. Module Overview.mp4 1.3 MB
  • 09. Building Reliable Data Lake with Spark and Delta Lake/01. Module Overview.mp4 1.2 MB
  • 4. Working with RDDs - Resilient Distributed Datasets/1. Module Overview.mp4 1.2 MB
  • 6. Working with Spark SQL, UDFs, and Common DataFrame Operations/1. Module Overview.mp4 1.2 MB
  • 2. Getting Started with Apache Spark/2. Version Check.mp4 859.7 kB
  • 10. Handling Streaming Data with Spark Structured Streaming/1. Module Overview.mp4 854.6 kB
  • 11. Working with Spark in Cloud/1. Module Overview.mp4 672.8 kB
  • 2. Getting Started with Apache Spark/5. How Execution Happens in Spark.vtt 15.8 kB
  • 5. Cleaning and Transforming Data with DataFrames/6. Applying Transformations.vtt 15.1 kB
  • 4. Working with RDDs - Resilient Distributed Datasets/7. Wide Transformations and Data Shuffling.vtt 12.4 kB
  • 09. Building Reliable Data Lake with Spark and Delta Lake/02. Need for Delta Lake with Spark.vtt 12.3 kB
  • 4. Working with RDDs - Resilient Distributed Datasets/8. Spark Application Concepts - Jobs, Stages and Tasks.vtt 12.2 kB
  • 07. Performing Optimizations in Spark/02. Working with Spark Partitions.vtt 11.8 kB
  • 6. Working with Spark SQL, UDFs, and Common DataFrame Operations/5. Performing Operations on Multiple Datasets.vtt 11.2 kB
  • 03. Setting up Spark Environment/03. Installing Spark.vtt 10.8 kB
  • 8. Features in Apache Spark 3/4. Adaptive Query Execution - Handling Skew.vtt 10.7 kB
  • 10. Handling Streaming Data with Spark Structured Streaming/3. Structured Streaming Processing Model.vtt 10.6 kB
  • 8. Features in Apache Spark 3/5. Dynamic Partition Pruning.vtt 10.5 kB
  • 4. Working with RDDs - Resilient Distributed Datasets/2. Understanding RDDs.vtt 10.4 kB
  • 5. Cleaning and Transforming Data with DataFrames/2. Understanding DataFrames.vtt 10.4 kB
  • 4. Working with RDDs - Resilient Distributed Datasets/3. Creating RDDs.vtt 10.2 kB
  • 07. Performing Optimizations in Spark/08. Dynamic Resource Allocation.vtt 10.1 kB
  • 6. Working with Spark SQL, UDFs, and Common DataFrame Operations/3. Working with Spark Tables.vtt 10.0 kB
  • 5. Cleaning and Transforming Data with DataFrames/5. Analyzing and Cleaning Data.vtt 9.9 kB
  • 8. Features in Apache Spark 3/3. Adaptive Query Execution - Dynamic Join.vtt 9.9 kB
  • 09. Building Reliable Data Lake with Spark and Delta Lake/05. Creating Delta Tables.vtt 9.9 kB
  • 09. Building Reliable Data Lake with Spark and Delta Lake/03. How Delta Lake Works.vtt 9.7 kB
  • 6. Working with Spark SQL, UDFs, and Common DataFrame Operations/6. Performing Window Operations.vtt 9.6 kB
  • 4. Working with RDDs - Resilient Distributed Datasets/4. Working with Pair RDDs.vtt 9.2 kB
  • 4. Working with RDDs - Resilient Distributed Datasets/5. Applying Operations on RDDs.vtt 9.1 kB
  • 5. Cleaning and Transforming Data with DataFrames/8. Saving Processed Data to Files.vtt 9.0 kB
  • 5. Cleaning and Transforming Data with DataFrames/3. Creating DataFrames.vtt 9.0 kB
  • 2. Getting Started with Apache Spark/3. Need for Apache Spark.vtt 8.9 kB
  • 07. Performing Optimizations in Spark/06. Spark Join Strategies and Broadcast Joins.vtt 8.6 kB
  • 07. Performing Optimizations in Spark/05. Persisting Data.vtt 8.6 kB
  • 09. Building Reliable Data Lake with Spark and Delta Lake/07. Performing DML Operations.vtt 8.2 kB
  • 8. Features in Apache Spark 3/2. Adaptive Query Execution - Dynamic Coalescing.vtt 8.1 kB
  • 10. Handling Streaming Data with Spark Structured Streaming/4. Extracting Streaming Data from Source.vtt 7.9 kB
  • 10. Handling Streaming Data with Spark Structured Streaming/2. Understanding Streaming in Spark.vtt 7.8 kB
  • 07. Performing Optimizations in Spark/04. Memory Management.vtt 7.8 kB
  • 10. Handling Streaming Data with Spark Structured Streaming/5. Transforming and Loading Data.vtt 7.7 kB
  • 07. Performing Optimizations in Spark/03. Changing DataFrame Partitions.vtt 7.6 kB
  • 5. Cleaning and Transforming Data with DataFrames/4. Applying Schemas.vtt 7.3 kB
  • 6. Working with Spark SQL, UDFs, and Common DataFrame Operations/2. Running SQL Queries on DataFrames.vtt 7.3 kB
  • 03. Setting up Spark Environment/02. Understanding Spark Environments.vtt 7.3 kB
  • 07. Performing Optimizations in Spark/07. Optimizing Shuffle Sort Join with Bucketing.vtt 7.3 kB
  • 03. Setting up Spark Environment/06. Option 2 - Running Spark with Jupyter Notebooks.vtt 7.2 kB
  • 11. Working with Spark in Cloud/2. Using Spark in Databricks.vtt 6.8 kB
  • 09. Building Reliable Data Lake with Spark and Delta Lake/09. Accessing Data with Time Travel.vtt 6.7 kB
  • 2. Getting Started with Apache Spark/4. Understanding Spark Architecture and Ecosystem.vtt 6.5 kB
  • 03. Setting up Spark Environment/09. Setting Up Multi-Node Cluster.vtt 6.3 kB
  • 4. Working with RDDs - Resilient Distributed Datasets/6. Using Narrow Transformations.vtt 5.9 kB
  • 8. Features in Apache Spark 3/1. Introduction to Apache Spark 3.vtt 5.7 kB
  • 11. Working with Spark in Cloud/3. Using Spark in Azure Synapse Analytics.vtt 5.7 kB
  • 09. Building Reliable Data Lake with Spark and Delta Lake/04. ACID Guarantees on Delta Lake.vtt 5.4 kB
  • 5. Cleaning and Transforming Data with DataFrames/7. Handling Corrupt Data.vtt 5.1 kB
  • 03. Setting up Spark Environment/05. Option 1 - Running Spark in Command Line.vtt 5.1 kB
  • 6. Working with Spark SQL, UDFs, and Common DataFrame Operations/4. Working with User Defined Functions (UDFs).vtt 5.0 kB
  • 03. Setting up Spark Environment/08. Option 4 - Running Jobs with Spark Submit.vtt 4.7 kB
  • 03. Setting up Spark Environment/07. Option 3 - Creating Project with PyCharm IDE.vtt 4.6 kB
  • 09. Building Reliable Data Lake with Spark and Delta Lake/06. Inserting Data to Delta Table.vtt 4.1 kB
  • 07. Performing Optimizations in Spark/09. Resource Allocation Using Fair Scheduling.vtt 4.1 kB
  • 09. Building Reliable Data Lake with Spark and Delta Lake/08. Applying Table Constraints.vtt 4.0 kB
  • 2. Getting Started with Apache Spark/6. Spark APIs – RDDs, DataFrames and Datasets.vtt 3.9 kB
  • 4. Working with RDDs - Resilient Distributed Datasets/9. Summary.vtt 3.1 kB
  • 2. Getting Started with Apache Spark/1. Introduction and Course Outline.vtt 3.0 kB
  • 8. Features in Apache Spark 3/6. Summary.vtt 2.9 kB
  • 03. Setting up Spark Environment/04. Monitoring Spark with Web UI.vtt 2.8 kB
  • 07. Performing Optimizations in Spark/10. Summary.vtt 2.7 kB
  • 2. Getting Started with Apache Spark/7. Summary.vtt 2.6 kB
  • 5. Cleaning and Transforming Data with DataFrames/9. Summary.vtt 2.6 kB
  • 6. Working with Spark SQL, UDFs, and Common DataFrame Operations/7. Summary.vtt 2.6 kB
  • 09. Building Reliable Data Lake with Spark and Delta Lake/10. Summary.vtt 2.4 kB
  • 1. Course Overview/1. Course Trailer.vtt 2.2 kB
  • 03. Setting up Spark Environment/10. Summary.vtt 2.0 kB
  • 11. Working with Spark in Cloud/4. Summary.vtt 1.9 kB
  • 10. Handling Streaming Data with Spark Structured Streaming/6. Summary.vtt 1.9 kB
  • 03. Setting up Spark Environment/01. Module Overview.vtt 1.5 kB
  • 5. Cleaning and Transforming Data with DataFrames/1. Module Overview.vtt 1.4 kB
  • 07. Performing Optimizations in Spark/01. Module Overview.vtt 1.4 kB
  • 09. Building Reliable Data Lake with Spark and Delta Lake/01. Module Overview.vtt 1.2 kB
  • 4. Working with RDDs - Resilient Distributed Datasets/1. Module Overview.vtt 1.2 kB
  • 6. Working with Spark SQL, UDFs, and Common DataFrame Operations/1. Module Overview.vtt 1.1 kB
  • 10. Handling Streaming Data with Spark Structured Streaming/1. Module Overview.vtt 766 Bytes
  • 2. Getting Started with Apache Spark/2. Version Check.vtt 704 Bytes
  • 11. Working with Spark in Cloud/1. Module Overview.vtt 687 Bytes
  • [CourseClub.Me].url 66 Bytes

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