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[ FreeCourseWeb.com ] High-Performance PySpark - Advanced Strategies for Optimal Data Processing
磁力链接/BT种子名称
[ FreeCourseWeb.com ] High-Performance PySpark - Advanced Strategies for Optimal Data Processing
磁力链接/BT种子简介
种子哈希:
66f8dac1f9fa3cf5e6f1908605fd8d02ab8e08de
文件大小:
157.98M
已经下载:
56
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收录时间:
2025-05-04
最近下载:
2025-05-28
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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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