If you are looking for a training program that offers extensive learning and experience regarding many database roles, this is the course to get enrolled into.
Our training program is ideal for database professionals or students who want to go big in the industry, we have assigned accredited professionals to teach you and help you develop a range of database skills including designs, languages, types, and other concepts that are essential to understand. What’s more is that this IT Ops training program offers Introduction to Microsoft SQL Databases, allowing you to offer valuable services and perform tasks with ease.
After completing this course, students will be able to:
Describe key database concepts in the context of SQL Server 2016
Describe database languages used in SQL Server 2016
Describe data modeling techniques
Describe normalization and denormalization techniques
Describe relationship types and effects in database design
Describe the effects of database design on performance
Describe commonly used database objects
If you want to become a database professional, this course is ideal for you. You may also take up this course if you want to learn more about various database technologies.
This is a foundation level course and therefore only requires general computer literacy.
SQL: Fundamentals of Querying (SQL-QueryFund)
2. What is Relational Database?
A relational database consists of tables, each of which contains rows of data organized by columns, in an arrangement like a spreadsheet. Each table is related to one or more of the other tables in the database—for example, a table that contains customer information might relate to a table that contains information about orders. This relationship is based on the real-world fact that customers place orders.
3. What is a Schema?
When you create a table in a SQL Server database, you can specify a schema for the table as part of the CREATE TABLE statement. A schema is a namespace that represents a logical container for tables. For example, you could create a schema called Product, and then create all product-related tables in that schema.
4. What is SQL in a database?
SQL (pronounced "ess-que-el") stands for Structured Query Language. ... SQL statements are used to perform tasks such as update data on a database, or retrieve data from a database. Some common relational database management systems that use SQL are: Oracle, Sybase, Microsoft SQL Server, Access, Ingres, etc.
5. What is SQL basics?
SQL is a database computer language designed for the retrieval and management of data in a relational database. SQL stands for Structured Query Language. ... It covers most of the topics required for a basic understanding of SQL and to get a feel of how it works.
6. What is a Stored Procedure?
A stored procedure is a SQL Server database object that encapsulates a Transact-SQL statement. Unlike views, which only encapsulate SELECT statements, stored procedure definitions can include a wider range of Transact-SQL statements, such as UPDATE, INSERT, and DELETE statements, as well as SELECT statements. Furthermore, you can include procedural logic in Transact-SQL statements in stored procedures—this provides the flexibility to help you to implement complex business rules.
|Subjects||IT Ops & Management|
|Learning Style||Virtual Classroom|
|Course Duration||3 Days|
|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.