With this course, connect the specialists for a look at authentication for the user—who they are—and approval—what they are permitted to do.
Learning Style
Provider
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Course Duration
With this course, connect the specialists for a look at authentication for the user—who they are—and approval—what they are permitted to do.
Given the ever-growing job of an administrator of the SQL Server database in the present security scene, it's critical to realize how to keep information secure.
With this course, connect the specialists for a look at authentication for the user—who they are—and approval—what they are permitted to do. Besides, get some answers concerning examining framework access and information encryption, to ensure your information is appropriately protected.
You'll inspect these topics through the focal points of different platforms lenses, contrasting what they resemble in SQL Server v.Next on Linux, SQL Server 2016, and Azure SQL Databases.
This course of computer science presents technologies and features for securing databases. Themes include: Auditing Access to Data, Authorizing Users to Access Resources, Authenticating Users and Connections, and Encrypting Data. You will figure out how to secure information in SQL Server v.Next on Linux, SQL Server 2016, and Databases of Azure SQL.
You will learn:
To finish the hands-on components of this course, students will require a subscription to Azure. You can pursue a free Azure preliminary membership (a credit card is compulsory for confirmation, however, you won't be charged for the services of Azure. Note that the free experiment isn't accessible in all locales. It is probable to finish the course and gain a credential without finishing the hands-on rehearses. Recognition with the concepts of database and essential query syntax of SQL.
An eagerness to adapt effectively and drive forward while troubleshooting specialized issues are required.
| Brand | Microsoft |
|---|---|
| Subjects | Information Security |
| Lab Access | No |
| Technology | Microsoft |
| Learning Style | Self-Paced Learning |
| Learning Type | Course |
| Difficulty | Intermediate |
| Course Duration | 12 Hours |
| Language | English |
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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