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Implementing a Microsoft SQL 2016 Data Warehouse Course covers the key concepts of both on-premises and Azure SQL Server Deployment & Provision.
Learning Style
Provider
Difficulty
Course Duration
Implementing a Microsoft SQL 2016 Data Warehouse Course covers the key concepts of both on-premises and Azure SQL Server Deployment & Provision.
This is an intermediate-level 5-day training program covering the fundamentals of Microsoft SQL 2016 Data Warehousing and is specifically designed for Database Professionals & Business Intelligence Developers. Professionals will get to learn the fundamental skills and knowledge of provisioning Microsoft SQL Database in a business enterprise and organization. This course helps professionals learn the essentials skills needed to pursue a successful career as a Database Administrator. On average, a professional Database Administrator earns $71,429 annually.
Implementing a Microsoft SQL 2016 Data Warehouse Course covers the key concepts of both on-premises and Azure SQL Server Deployment & Provision. Professionals get to learn the art of installing a new server from scratch and also get to know the basics of migrating from an existing database.
The core objective of this course is to help professionals gain a better knowledge and sound understanding of the following key concepts:
This course is tailored for the following group of professionals and interested candidates:
Professionals planning to enroll in Implementing a Microsoft SQL 2016 Data Warehouse (MS-20767) Course must comply with the following prerequisites:
2. What are the various data sources of a typical BI Solution?
The primary sources of any/some BI solution from which data is extracted contains some or all of the following data sources:
Exam Test Sample: 70-767 Implementing a Microsoft SQL 2016 Data Warehouse
Brand | Microsoft |
---|---|
Subjects | IT Ops & Management |
Lab Access | Yes |
Technology | Microsoft |
Learning Style | Virtual Classroom |
Learning Type | Course |
Difficulty | Intermediate |
Course Duration | 5 Days |
Language | English |
VPA Discount | VPA Discount |
Tom is an innovator first, and then a Data Scientist & Software Architect. He has integrated expertise in business, product, technology and management. Tom has been involved in creating category defining new products in AI and big data for different industries, which generated more than hundred million revenue cumulatively, and served more than 10 million users.
As a Data Scientist and Software Architect Tom has extensive experience in data science, engineering, architecture and software development. To date Tom has accumulated over a decade of experience in R, Python & Linux Shell programming.
Tom has expertise on Python, SQL, and Spark. He has worked on several libraries including but not limited to Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, SciPy, NLTK, Keras, and Tensorflow.
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