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Overview

In this course, the student will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and others. The course focuses on common data engineerings tasks such as orchestrating data transfer and transformation pipelines, working with data files in a data lake, creating and loading relational data warehouses, capturing and aggregating streams of real-time data, and tracking data assets and lineage.
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What You'll Learn

  • Identify common data engineering tasks
  • Describe common data engineering concepts
  • Identify Azure services for data engineering
  • Describe the key features and benefits of Azure Data Lake Storage Gen2
  • Enable Azure Data Lake Storage Gen2 in an Azure Storage account
  • Compare Azure Data Lake Storage Gen2 and Azure Blob storage
  • Describe where Azure Data Lake Storage Gen2 fits in the stages of analytical processing
  • Describe how Azure data Lake Storage Gen2 is used in common analytical workloads
  • Identify the business problems that Azure Synapse Analytics addresses.
  • Describe core capabilities of Azure Synapse Analytics.
  • Determine when to use Azure Synapse Analytics.
  • Identify capabilities and use cases for serverless SQL pools in Azure Synapse Analytics
  • Query CSV, JSON, and Parquet files using a serverless SQL pool
  • Create external database objects in a serverless SQL pool
  • Use a CREATE EXTERNAL TABLE AS SELECT (CETAS) statement to transform data.
  • Encapsulate a CETAS statement in a stored procedure.
  • Include a data transformation stored procedure in a pipeline.
  • Understand lake database concepts and components
  • Describe database templates in Azure Synapse Analytics
  • Create a lake database
  • Identify core features and capabilities of Apache Spark.
  • Configure a Spark pool in Azure Synapse Analytics.
  • Run code to load, analyze, and visualize data in a Spark notebook.
  • Use Apache Spark to modify and save dataframes
  • Partition data files for improved performance and scalability.
  • Transform data with SQL
  • Describe core features and capabilities of Delta Lake.
  • Create and use Delta Lake tables in a Synapse Analytics Spark pool.
  • Create Spark catalog tables for Delta Lake data.
  • Use Delta Lake tables for streaming data.
  • Query Delta Lake tables from a Synapse Analytics SQL pool.
  • Design a schema for a relational data warehouse.
  • Create fact, dimension, and staging tables.
  • Use SQL to load data into data warehouse tables.
  • Use SQL to query relational data warehouse tables.
  • Load staging tables in a data warehouse
  • Load dimension tables in a data warehouse
  • Load time dimensions in a data warehouse
  • Load slowly changing dimensions in a data warehouse
  • Load fact tables in a data warehouse
  • Perform post-load optimizations in a data warehouse
  • Describe core concepts for Azure Synapse Analytics pipelines.
  • Create a pipeline in Azure Synapse Studio.
  • Implement a data flow activity in a pipeline.
  • Initiate and monitor pipeline runs.
  • Describe notebook and pipeline integration.
  • Use a Synapse notebook activity in a pipeline.
  • Use parameters with a notebook activity.
  • Describe Hybrid Transactional / Analytical Processing patterns.
  • Identify Azure Synapse Link services for HTAP.
  • Configure an Azure Cosmos DB Account to use Azure Synapse Link.
  • Create an analytical store enabled container.
  • Create a linked service for Azure Cosmos DB.
  • Analyze linked data using Spark.
  • Analyze linked data using Synapse SQL.
  • Understand key concepts and capabilities of Azure Synapse Link for SQL.
  • Configure Azure Synapse Link for Azure SQL Database.
  • Configure Azure Synapse Link for Microsoft SQL Server.
  • Understand data streams.
  • Understand event processing.
  • Understand window functions.
  • Get started with Azure Stream Analytics.
  • Describe common stream ingestion scenarios for Azure Synapse Analytics.
  • Configure inputs and outputs for an Azure Stream Analytics job.
  • Define a query to ingest real-time data into Azure Synapse Analytics.
  • Run a job to ingest real-time data, and consume that data in Azure Synapse Analytics.
  • Configure a Stream Analytics output for Power BI.
  • Use a Stream Analytics query to write data to Power BI.
  • Create a real-time data visualization in Power BI.
  • Evaluate whether Microsoft Purview is appropriate for data discovery and governance needs.
  • Describe how the features of Microsoft Purview work to provide data discovery and governance.
  • Catalog Azure Synapse Analytics database assets in Microsoft Purview.
  • Configure Microsoft Purview integration in Azure Synapse Analytics.
  • Search the Microsoft Purview catalog from Synapse Studio.
  • Track data lineage in Azure Synapse Analytics pipelines activities.
  • Provision an Azure Databricks workspace.
  • Identify core workloads and personas for Azure Databricks.
  • Describe key concepts of an Azure Databricks solution.
  • Describe key elements of the Apache Spark architecture.
  • Create and configure a Spark cluster.
  • Describe use cases for Spark.
  • Use Spark to process and analyze data stored in files.
  • Use Spark to visualize data.
  • Describe how Azure Databricks notebooks can be run in a pipeline.
  • Create an Azure Data Factory linked service for Azure Databricks.
  • Use a Notebook activity in a pipeline.
  • Pass parameters to a notebook.

Who Should Attend

The primary audience for this course is 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. The secondary audience for this course is data analysts and data scientists who work with analytical solutions built on Microsoft Azure.
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Prerequisites

Please review the prerequisites listed for each module in the course content and click on the provided links for more information.

Learning Journey

Want to boost your career in Microsoft? Click on the roles below to see the learning pathways, specially designed to give you the skills to succeed.

Frequently Asked Questions (FAQs)

  • Why get Microsoft certified?

    Microsoft certifications validate your skills and expertise in Microsoft technologies and solutions, demonstrating your ability to design, implement, and manage cutting-edge technologies.

    These certifications are globally recognized and highly sought after by employers, as they signify your proficiency in using Microsoft products and services to drive innovation and solve business challenges.

    Microsoft-certified professionals are in high demand, opening doors to new career opportunities and higher earning potential.

  • What to expect for the examination?

    Microsoft certification exams are designed to assess your knowledge and skills in specific Microsoft technologies and solutions.

    Exams typically consist of multiple-choice, multiple-select, and case study questions, and some may include lab simulations to evaluate your practical skills.

    Note: Certification requirements and policies may be updated by Microsoft from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • How long is Microsoft certification valid for?

    Most Microsoft role-based and specialty certifications are valid for one year from the date of passing the exam.

    To maintain your certification, you will need to renew it annually by passing a free online assessment on Microsoft Learn.

    However, Microsoft Applied Skills credentials and Fundamentals certifications do not expire.

    Note: Certification requirements and policies may be updated by Microsoft from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • Why take this course with Trainocate?

    Here’s what sets us apart:

    - Global Reach, Localized Accessibility: Benefit from our geographically diverse training hubs in 16 countries (and counting!).

    - Top-Rated Instructors: Our team of subject matter experts (with high average CSAT and MTM scores) are passionate to help you accelerate your digital transformation.

    - Customized Training Solutions: Choose from on-site, virtual classrooms, or self-paced learning to fit your organization and individual needs.

    - Experiential Learning: Dive into interactive training with our curated lesson plans. Participate in hands-on labs, solve real-world challenges, and take on comprehensive assessments.

    - Learn From The Best: With 30+ authorized training partnerships and countless awards from Microsoft, AWS, Google – you're guaranteed learning from the industry's elite.

    - Your Bridge To Success: We provide up-to-date course materials, helpful exam guides, and dedicated support to validate your expertise and elevate your career.

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