Integrating Data in Microsoft Azure
|
With over 2.5 quintillion bytes of data generated each day, you need to rely on modern tools to efficiently use and analyze data. In this course, you will learn how to leverage the power of Azure to create data integration pipelines in the cloud.
Data-driven decision making is the path to business success. In this course, Integrating Data in Microsoft Azure, you will gain foundational knowledge to integrate data utilizing the power of Microsoft Azure. First, you will learn how to migrate data from on-premise and Amazon Web Services to Azure. Next, you will discover how to easily construct ETL processes and create data integration pipelines using Azure Data Factory. Finally, you will explore how to create a real-time pipeline, to ingest and process real-time events sent by IoT devices using Azure EventHubs, Azure Stream Analytics, and Power BI. When you’re finished with this course, you will have the skills and knowledge needed to create data integration pipelines using some of the great tools that are part of the Azure ecosystem.
Author Name: Marcelo Pastorino
Author Description:
Marcelo has accumulated over two decades of expertise, adeptly aligning business goals with innovative technological solutions. Initiating his coding journey in the early 90s on an IBM 8086 XT, he became proficient in languages such as Clipper, Pascal and C++. By his mid-teens, Marcelo had already crafted and commercialized software for the DOS operating system. In the current tech landscape, his specialization encompasses technologies like .NET, C#, JavaScript, NextJS, SvelteKit, and cloud-base… more
User Reviews
Be the first to review “Integrating Data in Microsoft Azure”
Related Products
Use Azure Synapse serverless SQL pool to query files in a data lake
With Azure Synapse serverless SQL pool, you can leverage your SQL skills to explore and analyze data in files, without the need to load the data into a relational database.
Data Engineering with Microsoft Azure
Explore data engineering concepts on Microsoft Azure’s cloud platform.
Use Apache Spark in Azure Databricks
Azure Databricks is built on Apache Spark and enables data engineers and analysts to run Spark jobs to transform, analyze and visualize data at scale.
Transform data with Spark in Azure Synapse Analytics
Data engineers commonly need to transform large volumes of data. Apache Spark pools in Azure Synapse Analytics provide a distributed processing platform that they can use to accomplish this goal.
Spark and Data Lakes
Learn how to process big data using Apache Spark and manage data lakes.
Build a data pipeline in Azure Synapse Analytics
Pipelines are the lifeblood of a data analytics solution. Learn how to use Azure Synapse Analytics pipelines to build integrated data solutions that extract, transform, and load data across diverse systems.
There are no reviews yet.