Course code: NP1303
This intermediate-level learning path teaches data analysts how to build and manage a data lakehouse using Azure Databricks. You’ll learn to harness Apache Spark for large-scale data processing, manage data with Delta Lake, build real-time pipelines using Delta Live Tables, and deploy workloads with Databricks Workflows. The course emphasizes scalable analytics and data governance.Professional
and certified lecturers
Internationally
recognized certifications
Wide range of technical
and soft skills courses
Great customer
service
Making courses
exactly to measure your needs
Starting date: Upon request
Guaranteed
Type: Self-paced
Course duration: 8 hours
Language: en
Price without VAT: 285 EUR
Starting date: Upon request
Guaranteed
Type: Self-paced
Course duration: 8 hours
Language: en
Price without VAT: 75 EUR
| Starting date |
Place |
Type | Course duration |
Language | Price without VAT | ||
|---|---|---|---|---|---|---|---|
| G | Upon request | Self-paced | 8 hours | en | 285 EUR | Register | |
| G | Upon request | Self-paced | 8 hours | en | 75 EUR | Register | |
| G | Guaranteed course | ||||||
Set up scalable workspaces for data analytics.
Use Apache Spark and Delta Lake for big data.
Create streaming workflows with Delta Live Tables.
Schedule and manage tasks using Databricks automation tools.
Module 1: Explore Azure Databricks
Module 2: Perform data analysis with Azure Databricks
Module 3: Use Apache Spark in Azure Databricks
Module 4: Manage data with Delta Lake
Module 5: Build data pipelines with Delta Live Tables
Module 6: Deploy workloads with Azure Databricks Workflows
