In this course, you will learn how to get started with this powerful toolkit. We will cover topics like connecting to and transforming web-based data sources
DurationIn this course, you will learn how to get started with this powerful toolkit. We will cover topics like connecting to and transforming web-based data sources. You will learn how to publish and share your reports and visuals on the Power BI service.
Azure SQL is a family of managed, secure, and intelligent products that use the SQL Server database engine in the Azure cloud. Azure SQL is built upon the familiar SQL Server engine, so you can migrate applications with ease and continue to use the tools, languages, and resources you're familiar with. Your skills and experience transfer to the cloud, so you can do even more with what you already have.
What will You Learn?
How to connect to data (Azure Fundamentals, SQL, SSIS)
How to transform data sources (ETL)
How to create a data model
How to build visualizations using Power BI
Kensley College is a premier learning institute widely recognized for our outstanding academic reputation. With a beautiful campus and vibrant community holding in, we have excelled in various course compositions.
We are happy to have experienced, engaged and successful professionals who hold the soul of impact for the students. Our striving intellectual community will help you kick start your career foundations!
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Candidates will learn about implementing, managing, and monitoring an organization’s Microsoft Azure environment, including virtual networks, storage, compute, identity, security, and governance. In addition, candidates will also learn about operating systems, networking, servers, and virtualizat...
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This course provides IT Security Professionals with the knowledge and skills needed to implement security controls, maintain an organization’s security posture, and identify and remediate security vulnerabilities.
In this Microsoft certified course, students will build on existing analytics experience and will learn to implement and manage a data analytics environment, query and transform data, implement and manage data models, and explore and visualize data.
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