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[ FreeCourseWeb.com ] High-Performance PySpark - Advanced Strategies for Optimal Data Processing

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[ FreeCourseWeb.com ] High-Performance PySpark - Advanced Strategies for Optimal Data Processing

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种子哈希:66f8dac1f9fa3cf5e6f1908605fd8d02ab8e08de
文件大小:157.98M
已经下载:195次
下载速度:极快
收录时间:2025-05-04
最近下载:2026-01-11

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文件列表

  • ~Get Your Files Here !/06 - 5. Managing Data Shuffling and Skew/01 - Understanding data shuffling techniques to minimize data shuffling.mp4 21.8 MB
  • ~Get Your Files Here !/03 - 2. Data Cleaning Techniques with PySpark/04 - Techniques to identify and eliminate inconsistent data in PySpark.mp4 14.1 MB
  • ~Get Your Files Here !/05 - 4. Data Formats and Compression Techniques/10 - Compression algorithms in Spark Comparing Zstd, Snappy, and LZ4.mp4 13.0 MB
  • ~Get Your Files Here !/03 - 2. Data Cleaning Techniques with PySpark/02 - Data quality in PySpark Identifying issues and effective cleaning techniques.mp4 12.4 MB
  • ~Get Your Files Here !/03 - 2. Data Cleaning Techniques with PySpark/03 - Detecting and handling null values in PySpark.mp4 10.5 MB
  • ~Get Your Files Here !/03 - 2. Data Cleaning Techniques with PySpark/05 - Splitting combined data columns in PySpark.mp4 9.9 MB
  • ~Get Your Files Here !/05 - 4. Data Formats and Compression Techniques/09 - Parquet The go-to columnar format for high-performance analytics.mp4 9.1 MB
  • ~Get Your Files Here !/06 - 5. Managing Data Shuffling and Skew/02 - Addressing data skew.mp4 8.7 MB
  • ~Get Your Files Here !/02 - 1. Introduction to High-Performance Data Cleaning in PySpark/02 - Common data quality issues.mp4 6.0 MB
  • ~Get Your Files Here !/04 - 3. Structuring Data Schemas/01 - Importance of schema design in data engineering.mp4 5.8 MB
  • ~Get Your Files Here !/02 - 1. Introduction to High-Performance Data Cleaning in PySpark/01 - What is data cleaning.mp4 5.2 MB
  • ~Get Your Files Here !/02 - 1. Introduction to High-Performance Data Cleaning in PySpark/04 - Why PySpark for data cleaning.mp4 5.1 MB
  • ~Get Your Files Here !/05 - 4. Data Formats and Compression Techniques/02 - Exploring JSON.mp4 4.2 MB
  • ~Get Your Files Here !/05 - 4. Data Formats and Compression Techniques/05 - Avro schema evolution Managing changes in data structures.mp4 4.1 MB
  • ~Get Your Files Here !/05 - 4. Data Formats and Compression Techniques/03 - Exploring Avro.mp4 3.8 MB
  • ~Get Your Files Here !/05 - 4. Data Formats and Compression Techniques/01 - Introduction to data formats Understanding JSON and CSV.mp4 3.7 MB
  • ~Get Your Files Here !/01 - Introduction/01 - High-performance data engineering with PySpark.mp4 3.6 MB
  • ~Get Your Files Here !/02 - 1. Introduction to High-Performance Data Cleaning in PySpark/03 - Challenges in data cleaning.mp4 3.4 MB
  • ~Get Your Files Here !/05 - 4. Data Formats and Compression Techniques/07 - Understanding ORC Optimized row columnar storage.mp4 3.4 MB
  • ~Get Your Files Here !/04 - 3. Structuring Data Schemas/02 - Using PySpark for schema enforcement and validation.mp4 3.3 MB
  • ~Get Your Files Here !/05 - 4. Data Formats and Compression Techniques/08 - ORC pros and cons.mp4 3.2 MB
  • ~Get Your Files Here !/04 - 3. Structuring Data Schemas/03 - Schema management in data lakes and warehouses.mp4 3.1 MB
  • ~Get Your Files Here !/03 - 2. Data Cleaning Techniques with PySpark/01 - Working with GitHub Codespaces.mp4 3.1 MB
  • ~Get Your Files Here !/05 - 4. Data Formats and Compression Techniques/04 - How Avro handles serialization and deserialization.mp4 3.0 MB
  • ~Get Your Files Here !/05 - 4. Data Formats and Compression Techniques/06 - Avro pros and cons.mp4 1.9 MB
  • ~Get Your Files Here !/06 - 5. Managing Data Shuffling and Skew/01 - Understanding data shuffling techniques to minimize data shuffling.srt 21.0 kB
  • ~Get Your Files Here !/05 - 4. Data Formats and Compression Techniques/09 - Parquet The go-to columnar format for high-performance analytics.srt 11.4 kB
  • ~Get Your Files Here !/03 - 2. Data Cleaning Techniques with PySpark/03 - Detecting and handling null values in PySpark.srt 10.8 kB
  • ~Get Your Files Here !/05 - 4. Data Formats and Compression Techniques/10 - Compression algorithms in Spark Comparing Zstd, Snappy, and LZ4.srt 10.7 kB
  • ~Get Your Files Here !/06 - 5. Managing Data Shuffling and Skew/02 - Addressing data skew.srt 9.2 kB
  • ~Get Your Files Here !/03 - 2. Data Cleaning Techniques with PySpark/04 - Techniques to identify and eliminate inconsistent data in PySpark.srt 8.0 kB
  • ~Get Your Files Here !/03 - 2. Data Cleaning Techniques with PySpark/02 - Data quality in PySpark Identifying issues and effective cleaning techniques.srt 7.0 kB
  • ~Get Your Files Here !/04 - 3. Structuring Data Schemas/01 - Importance of schema design in data engineering.srt 6.2 kB
  • ~Get Your Files Here !/05 - 4. Data Formats and Compression Techniques/05 - Avro schema evolution Managing changes in data structures.srt 4.9 kB
  • ~Get Your Files Here !/05 - 4. Data Formats and Compression Techniques/02 - Exploring JSON.srt 4.7 kB
  • ~Get Your Files Here !/03 - 2. Data Cleaning Techniques with PySpark/05 - Splitting combined data columns in PySpark.srt 4.7 kB
  • ~Get Your Files Here !/05 - 4. Data Formats and Compression Techniques/03 - Exploring Avro.srt 4.6 kB
  • ~Get Your Files Here !/02 - 1. Introduction to High-Performance Data Cleaning in PySpark/02 - Common data quality issues.srt 4.6 kB
  • ~Get Your Files Here !/05 - 4. Data Formats and Compression Techniques/01 - Introduction to data formats Understanding JSON and CSV.srt 4.5 kB
  • ~Get Your Files Here !/02 - 1. Introduction to High-Performance Data Cleaning in PySpark/04 - Why PySpark for data cleaning.srt 4.3 kB
  • ~Get Your Files Here !/02 - 1. Introduction to High-Performance Data Cleaning in PySpark/03 - Challenges in data cleaning.srt 4.2 kB
  • ~Get Your Files Here !/05 - 4. Data Formats and Compression Techniques/08 - ORC pros and cons.srt 4.1 kB
  • ~Get Your Files Here !/05 - 4. Data Formats and Compression Techniques/07 - Understanding ORC Optimized row columnar storage.srt 3.9 kB
  • ~Get Your Files Here !/04 - 3. Structuring Data Schemas/03 - Schema management in data lakes and warehouses.srt 3.9 kB
  • ~Get Your Files Here !/02 - 1. Introduction to High-Performance Data Cleaning in PySpark/01 - What is data cleaning.srt 3.5 kB
  • ~Get Your Files Here !/05 - 4. Data Formats and Compression Techniques/04 - How Avro handles serialization and deserialization.srt 3.5 kB
  • ~Get Your Files Here !/03 - 2. Data Cleaning Techniques with PySpark/01 - Working with GitHub Codespaces.srt 3.1 kB
  • ~Get Your Files Here !/05 - 4. Data Formats and Compression Techniques/06 - Avro pros and cons.srt 2.3 kB
  • ~Get Your Files Here !/04 - 3. Structuring Data Schemas/02 - Using PySpark for schema enforcement and validation.srt 2.0 kB
  • ~Get Your Files Here !/01 - Introduction/01 - High-performance data engineering with PySpark.srt 1.5 kB
  • Get Bonus Downloads Here.url 183 Bytes
  • ~Get Your Files Here !/Bonus Resources.txt 70 Bytes

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