The following is a list of available Data Engineering on Microsoft Azure (Databricks/Synapse Analytics) classes at ISInc. If you do not see the course you are interested in, please contact us. We can setup dedicated, online and onsite classes too! Minimum students required: 4, Maximum students: 15
In this course, the student 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. Students 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 an analytical serving layer and focus on data engineering considerations for working with source files. The students will learn how to interactively explore data stored in files in a data lake. They will 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. The students will also learn the various ways they can transform the data using the same technologies that is used to ingest data. The student will spend time on the course learning how to monitor and analyze the performance of analytical systems so that they can optimize the performance of data loads, or queries that are issued against the systems. They will understand the importance of implementing security to ensure that the data is protected at rest or in transit. The student will then show how the data in an analytical system can be used to create dashboards or build predictive models in Azure Synapse Analytics.
Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions.
Specifically completing:
AZ-900 - Azure Fundamentals
DP-900 - Microsoft Azure Data Fundamentals
$2895.00
| Start Date | End Date | Class Status | Days | Location | Start Time | |
|---|---|---|---|---|---|---|
| 02/11/2025 | 02/14/2025 | Seats Available | Consecutive days | Live Online | 8:00am | Enroll |
| 04/15/2025 | 04/18/2025 | Seats Available | Consecutive days | Live Online | 6:00am | Enroll |
| 06/16/2025 | 06/19/2025 | Seats Available | Consecutive days | Live Online | 8:00am | Enroll |
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