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Big Data Services on Microsoft Azure

This course also explains data transformation activities in Azure Data Factory that you can use to transform and processes your raw data into predictions and insights.

Praba Santhanakrishnan

Data Science | core | 5 minutes | Apr 29 | 12:39 PM Eastern (USA)

Overview

2.8KSTUDENTS^*

95.2%RECOMMEND^*

This course includes:

1 hours of on-demand video
2 modules
Core level
Direct access/chat with the instructor
100% self-paced online
Many downloadable resources
Shareable certificate of completion

More and more businesses are realizing the power of data and taking on the challenge of analyzing big data to gain deeper insights that gives the competitive advantage in their services and offerings to win more customers and to retain the existing ones. The data is volume is huge and available in multiple variety of formats ranging from structured , unstructured and semi structured and at comes at different velocity This webinar is an introduction that exposes you to the various techniques available in Microsoft Azure data services and how to work with Azure Technologies like Azure Data Factory, Datalake, Azure Data Warehouse etc. This course also explains data transformation activities in Azure Data Factory that you can use to transform and processes your raw data into predictions and insights. A transformation activity executes in a computing environment such as Azure HDInsight cluster or an Azure Batch.

Skills You Will Gain

Azure Data Factory

Azure HDInsight cluster

Data Warehouse

Datalake

Learning Outcomes (At the end of this program you will be able to)

Data ingestion from different sources to Azure Data Lake, using Azure Data Factory.
Create data transformation pipelines using Hive and Spark.
Processing big data using spark SQL using Scala and deploying and executing on Azure HDInsight spark cluster.

Prerequisites

Who Should Attend

Anyone interested in cloud technologies and computing, and interested in Azure, in particular.

Instructors

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