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DP-200 and DP-201

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Azure Data Factory provides a Data Lake Analytics activity for data transformation. Azure Data Lake store can be used as storage and deploy HDInsight on top of it for computation. Azure Data Lake is a fully managed on-demand pay-per-job analytics service with enterprise-grade security, auditing and support.
Azure Data Factory (ADF) is a Microsoft Azure Platform-as-a-Service (PaaS) offering for data movement and transformation. It supports data movement between many on-premise and cloud data sources. The supported platform list is elaborate and includes both Microsoft and other vendors.

 

The Azure Data Analytics course at BestDotNetTraining.com will help you Learn how to use Microsoft Azure Data Factory to orchestrate big data workflows in the cloud.

Azure Data Analytics course has been compiled together by Mrs. Vandana Soni who has immense experience both as a professional as well as a trainer. The content delivery is in the simplest possible language and it includes detailed explanation of every topic along with step by step approach to build a database schema likes tables, views, stored procedures, triggers, index etc…and write queries to fetch data from it. The video lecture follows the scientific learning methodology of Theory, Demonstration followed by Assignment, which cements your learning. A Azure Data Analytics interview questions section will help you to confirm that you have learned the subject properly and revisit the topics if needed. For every module we also provide assignments along with solutions so that you can build confidence in the subject and will be able to manage your application database independently.


Objectives

  • Understand what Azure Data lake and its architecture is.
  • How to copy data from azure SQL data lake.
  • How to load data from data lake to Power BI.
  • Create Azure Data Lake account and Data Lake Storage.
  • ETL process by creating a Pipeline in Data Factory.
  • Load Data from Data Lake to Power BI.
  • Use Data Factory for automating the movement of data and transformation of data.
  • Design and Implement Complex Event Processing using Azure Stream Analytics.
  • Design and Implement Analytics by using Azure Data Lake.
  • Design and Implement Azure SQL Data Warehouse Solutions.
  • Design and Implement Cloud-Based Integration by using Azure Data Factory.
  • Manage and Maintain Azure SQL Data Warehouse, Azure Data Lake, Azure Data Factory, and Azure Stream Analytics.

Pre-requisites

The Azure Data Analytics training can be taken by any beginner who wants to build career in Microsoft Azure Data Analytics. The subscriber needs to have working knowledge of Azure and SQL

Duration

4 weeks

DP-200 and DP-201 Syllabus

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