Mastering Big Data with PySpark

Contenu du cours

Mastering Big Data with PySpark

Mastering Big Data with PySpark

1. Big Data Fundamentals

What is Big Data?Types of Data Common File Formats How Big Data Works

2. Distributed Systems

Why Distributed Systems Matter Data Partitioning Data Replication and Consistency Models

3. Spark Core

What is RDD?Creating & Loading RDDs RDD Transformations & Actions Lazy Evaluation Working with Key-Value Pairs RDD Partitioning Optimization Shared Variables Challenge: ???

4. Spark SQL

What is DataFrame?Creating & Loading DataFrames DataFrame Operations SQL Queries Schema Handling Filtering, Grouping, Aggregation Joins, Unions Window Functions Challenge: ???

5. Structured Streaming

6. MLlib

Creating & Loading DataFrames

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Merci pour vos commentaires !

Section 4. Chapitre 2

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Demandez à l'IA

Posez n'importe quelle question ou essayez l'une des questions suggérées pour commencer notre discussion

Contenu du cours

Mastering Big Data with PySpark

Mastering Big Data with PySpark

1. Big Data Fundamentals

What is Big Data?Types of Data Common File Formats How Big Data Works

2. Distributed Systems

Why Distributed Systems Matter Data Partitioning Data Replication and Consistency Models

3. Spark Core

What is RDD?Creating & Loading RDDs RDD Transformations & Actions Lazy Evaluation Working with Key-Value Pairs RDD Partitioning Optimization Shared Variables Challenge: ???

4. Spark SQL

What is DataFrame?Creating & Loading DataFrames DataFrame Operations SQL Queries Schema Handling Filtering, Grouping, Aggregation Joins, Unions Window Functions Challenge: ???

5. Structured Streaming

6. MLlib

Creating & Loading DataFrames

Tout était clair ?

Merci pour vos commentaires !

Section 4. Chapitre 2

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