CODE: ITAZ13
DURATION: 3 Days/5 Days
CERTIFICATIONS: CPD
In this course, participants will learn about the data engineering patterns and practices as it pertains to working with batch and real-time analytical solutions using Azure data platform technologies. They will begin by understanding the core compute and storage technologies that are used to build an analytical solution. They will then explore how to design analytical serving layers and focus on data engineering considerations for working with source files. In addition, participants will learn how to interactively explore data stored in files in a data lake. They will also learn the various ingestion techniques that can be used to load data using the Apache Spark capability found in Azure Synapse Analytics or Azure Databricks, or how to ingest using Azure Data Factory or Azure Synapse pipelines.
This course is available in the following formats:
Virtual
Classroom
Request this course in a different delivery format.
Course Outcomes
After completing this course, students will be able to:
Explore compute and storage options for data engineering workloads in Azure
Explore, transform, and load data into the Data Warehouse using Apache Spark
Perform data Exploration and Transformation in Azure Databricks
Transform Data with Azure Data Factory or Azure Synapse Pipelines
Integrate Data from Notebooks with Azure Data Factory or Azure Synapse Pipelines
Optimize Query Performance with Dedicated SQL Pools in Azure Synapse
Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link
Create a Stream Processing Solution with Event Hubs and Azure Databricks
Build reports using Power BI integration with Azure Synapse Analytics
Perform Integrated Machine Learning Processes in Azure Synapse Analytics
At the end of this course, you’ll understand:
The course is for data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. Also, the data analysts and data scientists who work with analytical solutions built on Microsoft Azure.
✓ Modern facilities
✓ Course materials and certificate
✓ Accredited international trainers
✓ Training materials and workbook
✓ Access to online resources
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