Training: Implementing a Data Analytics Solution with Azure Databricks (DP-3011)

Ref. DP-3011
Duration:
1
 day
Exam:
Optional
Level:
Intermediate

Implementing a Data Analytics Solution with Azure Databricks (DP-3011)

Discover how to master Apache Spark, the essential tool for processing massive data, by using the high-performance clusters of Azure Databricks. This course, “Implementing a Data Analytics Solution with Azure Databricks (DP-3011)“, guides you through best practices for managing and analyzing large volumes of data in the cloud, enabling you to become an expert in data engineering on cutting-edge cloud platforms.

Enhance your data science skills and open the door to new professional opportunities by mastering large-scale data processing with Spark and Databricks in the “Implementing a Data Analytics Solution with Azure Databricks (DP-3011)” training.

Participant profiles

  • Data scientists
  • Data ingénieurs

Objectives

  • Understanding Azure Databricks and its ecosystem
  • Mastering Apache Spark in Azure Databricks
  • Exploiting Delta Lake for advanced data management
  • Integrating SQL into Azure Databricks
  • Automating with Azure Data Factory

Prerequisites

  • Having basic knowledge of Azure

Course content

Module 1 – Exploring Azure Databricks

  • Get started with Azure Databricks
  • Identify Azure Databricks workloads
  • Understand key concepts

Module 2 – Using Apache Spark in Azure Databricks

  • Get to know Spark
  • Create a Spark cluster
  • Use Spark in notebooks
  • Use Spark to work with data files
  • Visualize data

Module 3 – Using Delta Lake in Azure Databricks

  • Get started with Delta Lake
  • Create Delta Lake tables
  • Create and query catalog tables
  • Use Delta Lake for streaming data

Module 4 – Using SQL warehouses in Azure Databricks

  • Get started with SQL warehouses
  • Create databases and tables
  • Create queries and dashboards

Module 5 – Running Azure Databricks notebooks with Azure Data Factory

  • Understand Azure Databricks notebooks and pipelines
  • Create a linked service for Azure Databricks
  • Use a notebook activity in a pipeline
  • Use parameters in a notebook

Documentation

  • Digital course material included

Complementary courses

Temptraining funding

ITTA is a partner of Temptraining, the continuing education fund for temporary workers. This training fund can subsidize continuing education for anyone who works for an employer subject to the Collective Work Agreement (CCT) Rental of services.

Additional information

Discovery and Introduction to Azure Databricks with our course: Implementing a Data Analytics Solution with Azure Databricks (DP-3011)

Azure Databricks, an integrated platform designed to simplify the processing and analysis of massive data. Learn how to get started with this powerful platform by setting up your workspace and understanding the basic principles that govern its operation. Learn to navigate its intuitive user interface, create and manage clusters, and organize your projects with collaborative notebooks. Azure Databricks makes it easy to identify suitable workloads, whether it’s real-time analysis or batch processing, offering unmatched flexibility.

Mastery of Apache Spark on Azure Databricks

At the heart of Azure Databricks lies Apache Spark, a high-performance data processing engine. Get familiar with Spark, learn how to create optimized clusters, and discover how Spark facilitates large-scale data analysis. Use Spark to run scripts in notebooks, manipulate data files, and create captivating visualizations that transform your raw data into understandable insights.

Integrating Delta Lake for Improved Data Management

Discover Delta Lake, a storage layer that brings reliability and performance to your data lakes on Azure Databricks. Learn to create and manage Delta Lake tables, query data catalogs, and use Delta Lake to process streaming data. This integration ensures consistent, secure, and scalable data management, essential for modern data analytics environments.

Exploring SQL Warehouses with Azure Databricks

Azure Databricks seamlessly integrates with SQL warehouse solutions, enabling deep data analysis and the creation of detailed reports. Get started with databases and tables in the Databricks environment, learn to build complex queries and develop interactive dashboards. This synergy between Databricks and SQL warehouses opens new horizons for data visualization and data-driven decision making.

Orchestration of Workflows with Azure Data Factory

Automating and orchestrating data workflows becomes simple with the integration of Azure Data Factory. Understand how Databricks notebooks can be run as automated tasks within Azure Data Factory, creating efficient data pipelines. Learn to configure linked services and use dynamic parameters in your notebooks for customized executions, thereby improving the efficiency and responsiveness of your data analysis projects.

Prix de l'inscription
CHF 850.-
Inclus dans ce cours
  • Training provided by a certified trainer
  • 180 days of access to Official Microsoft Labs
  • Official documentation in digital format
  • Official Microsoft achievement badge

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