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Course Details

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 layers 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 system 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.

Audience

  • Data Architects
  • Business Intelligence
  • Data Professionals

Public Program Schedule

There is no upcoming Public Batch Schedule, you can ask for Private Batch or for On-Demand Learning
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The highest standard, The happiest learners

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Sarada
Accenture Security-India | Training Operations

We appreciate the session conducted by Rohit Srivastava on Metaverse and Web3 Security as part of the ATCI Security Week 2022.   We received excellent feedback from the audience and look forward to many such collaborative opportunities in the future.

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Rich Rushton
COO Layer 8 Training

Brijesh has done an excellent job. Things are a little bit slow in May – but RPS is high on our list to fill voids in our schedule. Thank you for being easy to work with!

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