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.
Module 1 – Exploring Azure Databricks
Module 2 – Using Apache Spark in Azure Databricks
Module 3 – Using Delta Lake in Azure Databricks
Module 4 – Using SQL warehouses in Azure Databricks
Module 5 – Running Azure Databricks notebooks with Azure Data Factory
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.
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.
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.
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.
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.
Monday to Friday
8:30 AM to 6:00 PM
Tel. 058 307 73 00
ITTA
Route des jeunes 35
1227 Carouge, Suisse
Monday to Friday, from 8:30 am to 06:00 pm.
