Master Databricks Certified Data Engineer Associate Training

سرفصل های دوره

Databricks for Data Engineers: ETL, Delta Lake, and Apache Spark, Build Pipelines and Workflows for Success. UNOFFICIAL

1 - Introduction to Databricks and Data Engineering

1 -What is Databricks

2 -Introduction to the Databricks Lakehouse Platform

2 - Working with Data on Databricks

1 -Data Ingestion and ETL Concepts

2 -Understanding Delta Lake

3 -Data Sources and Formats in Databricks

4 -Managing Metadata and Catalogs

3 - Transforming Data with Apache Spark

1 -Introduction to Apache Spark for Data Engineering

2 -Working with DataFrames

3 -Optimizing Data Transformations

4 -Understanding Spark SQL

4 - Managing Pipelines and Workflows

1 -Introduction to Data Engineering Workflows

2 -Using Databricks Jobs for Pipeline Automation

3 -Orchestrating Workflows with Databricks Workflows

4 -Introduction to Task Dependencies and Triggers

5 - Data Management and Governance

1 -Data Governance Fundamentals

2 -Implementing Access Controls

3 -Monitoring and Auditing Data Pipelines

4 -Data Versioning and Lineage with Delta Lake

6 - Performance Optimization and Troubleshooting

1 -Optimizing Cluster Configuration

2 -Understanding Caching and Data Skipping

3 -Troubleshooting Common Performance Issues

4 -Delta Lake Optimization Techniques

7 - Advanced Concepts in Data Engineering

1 -Introduction to Streaming Data with Structured Streaming

2 -Handling Late Data and Watermarking

3 -Ensuring Data Quality with Expectations and Validations

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تولید کننده: Udemy