[ FreeCourseWeb.com ] High-Performance PySpark - Advanced Strategies for Optimal Data Processing
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- ~Get Your Files Here !/06 - 5. Managing Data Shuffling and Skew/01 - Understanding data shuffling techniques to minimize data shuffling.mp4 20.8 MB
- ~Get Your Files Here !/03 - 2. Data Cleaning Techniques with PySpark/04 - Techniques to identify and eliminate inconsistent data in PySpark.mp4 13.4 MB
- ~Get Your Files Here !/05 - 4. Data Formats and Compression Techniques/10 - Compression algorithms in Spark Comparing Zstd, Snappy, and LZ4.mp4 12.4 MB
- ~Get Your Files Here !/03 - 2. Data Cleaning Techniques with PySpark/02 - Data quality in PySpark Identifying issues and effective cleaning techniques.mp4 11.8 MB
- ~Get Your Files Here !/03 - 2. Data Cleaning Techniques with PySpark/03 - Detecting and handling null values in PySpark.mp4 10.1 MB
- ~Get Your Files Here !/03 - 2. Data Cleaning Techniques with PySpark/05 - Splitting combined data columns in PySpark.mp4 9.5 MB
- ~Get Your Files Here !/05 - 4. Data Formats and Compression Techniques/09 - Parquet The go-to columnar format for high-performance analytics.mp4 8.7 MB
- ~Get Your Files Here !/06 - 5. Managing Data Shuffling and Skew/02 - Addressing data skew.mp4 8.3 MB
- ~Get Your Files Here !/02 - 1. Introduction to High-Performance Data Cleaning in PySpark/02 - Common data quality issues.mp4 5.7 MB
- ~Get Your Files Here !/04 - 3. Structuring Data Schemas/01 - Importance of schema design in data engineering.mp4 5.5 MB
- ~Get Your Files Here !/02 - 1. Introduction to High-Performance Data Cleaning in PySpark/01 - What is data cleaning.mp4 5.0 MB
- ~Get Your Files Here !/02 - 1. Introduction to High-Performance Data Cleaning in PySpark/04 - Why PySpark for data cleaning.mp4 4.9 MB
- ~Get Your Files Here !/05 - 4. Data Formats and Compression Techniques/02 - Exploring JSON.mp4 4.0 MB
- ~Get Your Files Here !/05 - 4. Data Formats and Compression Techniques/05 - Avro schema evolution Managing changes in data structures.mp4 3.9 MB
- ~Get Your Files Here !/05 - 4. Data Formats and Compression Techniques/03 - Exploring Avro.mp4 3.6 MB
- ~Get Your Files Here !/05 - 4. Data Formats and Compression Techniques/01 - Introduction to data formats Understanding JSON and CSV.mp4 3.6 MB
- ~Get Your Files Here !/01 - Introduction/01 - High-performance data engineering with PySpark.mp4 3.5 MB
- ~Get Your Files Here !/02 - 1. Introduction to High-Performance Data Cleaning in PySpark/03 - Challenges in data cleaning.mp4 3.3 MB
- ~Get Your Files Here !/05 - 4. Data Formats and Compression Techniques/07 - Understanding ORC Optimized row columnar storage.mp4 3.2 MB
- ~Get Your Files Here !/04 - 3. Structuring Data Schemas/02 - Using PySpark for schema enforcement and validation.mp4 3.2 MB
- ~Get Your Files Here !/05 - 4. Data Formats and Compression Techniques/08 - ORC pros and cons.mp4 3.0 MB
- ~Get Your Files Here !/04 - 3. Structuring Data Schemas/03 - Schema management in data lakes and warehouses.mp4 3.0 MB
- ~Get Your Files Here !/03 - 2. Data Cleaning Techniques with PySpark/01 - Working with GitHub Codespaces.mp4 2.9 MB
- ~Get Your Files Here !/05 - 4. Data Formats and Compression Techniques/04 - How Avro handles serialization and deserialization.mp4 2.8 MB
- ~Get Your Files Here !/05 - 4. Data Formats and Compression Techniques/06 - Avro pros and cons.mp4 1.8 MB
- ~Get Your Files Here !/06 - 5. Managing Data Shuffling and Skew/01 - Understanding data shuffling techniques to minimize data shuffling.srt 20.5 KB
- ~Get Your Files Here !/05 - 4. Data Formats and Compression Techniques/09 - Parquet The go-to columnar format for high-performance analytics.srt 11.2 KB
- ~Get Your Files Here !/03 - 2. Data Cleaning Techniques with PySpark/03 - Detecting and handling null values in PySpark.srt 10.6 KB
- ~Get Your Files Here !/05 - 4. Data Formats and Compression Techniques/10 - Compression algorithms in Spark Comparing Zstd, Snappy, and LZ4.srt 10.4 KB
- ~Get Your Files Here !/06 - 5. Managing Data Shuffling and Skew/02 - Addressing data skew.srt 9.0 KB
- ~Get Your Files Here !/03 - 2. Data Cleaning Techniques with PySpark/04 - Techniques to identify and eliminate inconsistent data in PySpark.srt 7.8 KB
- ~Get Your Files Here !/03 - 2. Data Cleaning Techniques with PySpark/02 - Data quality in PySpark Identifying issues and effective cleaning techniques.srt 6.9 KB
- ~Get Your Files Here !/04 - 3. Structuring Data Schemas/01 - Importance of schema design in data engineering.srt 6.1 KB
- ~Get Your Files Here !/05 - 4. Data Formats and Compression Techniques/05 - Avro schema evolution Managing changes in data structures.srt 4.8 KB
- ~Get Your Files Here !/05 - 4. Data Formats and Compression Techniques/02 - Exploring JSON.srt 4.6 KB
- ~Get Your Files Here !/03 - 2. Data Cleaning Techniques with PySpark/05 - Splitting combined data columns in PySpark.srt 4.6 KB
- ~Get Your Files Here !/05 - 4. Data Formats and Compression Techniques/03 - Exploring Avro.srt 4.5 KB
- ~Get Your Files Here !/02 - 1. Introduction to High-Performance Data Cleaning in PySpark/02 - Common data quality issues.srt 4.5 KB
- ~Get Your Files Here !/05 - 4. Data Formats and Compression Techniques/01 - Introduction to data formats Understanding JSON and CSV.srt 4.4 KB
- ~Get Your Files Here !/02 - 1. Introduction to High-Performance Data Cleaning in PySpark/04 - Why PySpark for data cleaning.srt 4.2 KB
- ~Get Your Files Here !/02 - 1. Introduction to High-Performance Data Cleaning in PySpark/03 - Challenges in data cleaning.srt 4.1 KB
- ~Get Your Files Here !/05 - 4. Data Formats and Compression Techniques/08 - ORC pros and cons.srt 4.0 KB
- ~Get Your Files Here !/05 - 4. Data Formats and Compression Techniques/07 - Understanding ORC Optimized row columnar storage.srt 3.8 KB
- ~Get Your Files Here !/04 - 3. Structuring Data Schemas/03 - Schema management in data lakes and warehouses.srt 3.8 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 3.4 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 2.2 KB
- ~Get Your Files Here !/04 - 3. Structuring Data Schemas/02 - Using PySpark for schema enforcement and validation.srt 1.9 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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