Mastering Big Data with PySpark

Contenido del Curso

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

Filtering, Grouping, Aggregation

¿Todo estuvo claro?

¡Gracias por tus comentarios!

Sección 4. Capítulo 6

Pregunte a AI

Pregunte a AI

Pregunte lo que quiera o pruebe una de las preguntas sugeridas para comenzar nuestra charla

Contenido del Curso

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

Filtering, Grouping, Aggregation

¿Todo estuvo claro?

¡Gracias por tus comentarios!

Sección 4. Capítulo 6

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