SQL Training in Bangalore

You will cover the following modules in this SQL certification in Bangalore:

• Queries
• Unions and joins
• Indexing and grouping
• Client/Server relation
• Keys and constraints
• Database backup
• Database restoration
• SQL Server services and tools
• Database object optimization
• Database administrators

Students and graduates who want to make a career in SQL can register for this SQL certification in Bangalore. However, professionals who must sign up for this online SQL course include:

• Developers
• IT Professionals
• Database Administrators
• Business Analysts
• SQL Administrators
• BI Professionals

There are no prerequisites to sign up for this SQL training in Bangalore, but having basic knowledge about RDBMS can help you understand this database query language better.

The SQL jobs available in Bangalore are as follows:

• SQL DBA Professional
• PL/SQL Developer
• Database Specialist
• DBA Expert
• Database Administrator
• Software Developer
• SQL Server Developer
• DBA Developer

Leading companies that are hiring SQL professionals in Bangalore include:

• Infosys
• Wipro
• Oracle
• KPMG
• Mindtree
• Cranium
• CGI Inc.
• Genworth Financial
• Tech Fortune Technologies
• Enverus

On average, the annual income of an entry-level SQL Developer in Bangalore is about ₹294k. With an experience of about 1–4 years, it may increase to the range ₹460–604k per annum. In India, the average income of SQL Developers with no experience is approximately ₹421k per annum. After a few years of experience, it might also increase up to ₹652k per annum.

Various types of databases, introduction to Structured Query Language, distinction between client server and file server databases, understanding SQL Server Management Studio, SQL Table basics, data types and functions, Transaction-SQL, authentication for Windows, data control language, and the identification of the keywords in T-SQL, such as Drop Table.

Introduction to relational databases, fundamental concepts of relational rows, tables, and columns; several operators (such as logical and relational), constraints, domains, indexes, stored procedures, primary and foreign keys, understanding group functions, the unique key, etc.

Advanced concepts of SQL tables, SQL functions, operators & queries, table creation, data retrieval from tables, combining rows from tables using inner, outer, cross, and self joins, deploying operators such as ‘intersect,’ ‘except,’ ‘union,’ temporary table creation, set operator rules, table variables, etc.

Understanding SQL functions – what do they do?, scalar functions, aggregate functions, functions that can be used on different datasets, such as numbers, characters, strings, and dates, inline SQL functions, general functions, and duplicate functions.

Understanding SQL subqueries, their rules; statements and operators with which subqueries can be used, using the set clause to modify subqueries, understanding different types of subqueries, such as where, select, insert, update, delete, etc., and methods to create and view subqueries.

Learning SQL views, methods of creating, using, altering, renaming, dropping, and modifying views; understanding stored procedures and their key benefits, working with stored procedures, studying user-defined functions, and error handling.

User-defined functions; types of UDFs, such as scalar, inline table value, multi-statement table, stored procedures and when to deploy them, what is rank function?, triggers, and when to execute triggers?

SQL Server Management Studio, using pivot in MS Excel and MS SQL Server, differentiating between Char, Varchar, and NVarchar, XL path, indexes and their creation, records grouping, advantages, searching, sorting, modifying data; clustered indexes creation, use of indexes to cover queries, common table expressions, and index guidelines.

Creating Transact-SQL queries, querying multiple tables using joins, implementing functions and aggregating data, modifying data, determining the results of DDL statements on supplied tables and data, and constructing DML statements using the output statement.

Querying data using subqueries and APPLY, querying data using table expressions, grouping and pivoting data using queries, querying temporal data and non-relational data, constructing recursive table expressions to meet business requirements, and using windowing functions to group and rank the results of a query.

Creating database programmability objects by using T-SQL, implementing error handling and transactions, implementing transaction control in conjunction with error handling in stored procedures, and implementing data types and NULL.

Designing and implementing relational database schema; designing and implementing indexes, learning to compare between indexed and included columns, implementing clustered index, and designing and deploying views and column store views.

Explaining foreign key constraints, using T-SQL statements, usage of Data Manipulation Language (DML), designing the components of stored procedures, implementing input and output parameters, applying error handling, executing control logic in stored procedures, and designing trigger logic, DDL triggers, etc.

Applying transactions, using the transaction behavior to identify DML statements, learning about implicit and explicit transactions, isolation levels management, understanding concurrency and locking behavior, and using memory-optimized tables.

Accuracy of statistics, formulating statistics maintenance tasks, dynamic management objects management, identifying missing indexes, examining and troubleshooting query plans, consolidating the overlapping indexes, the performance management of database instances, and SQL server performance monitoring.

• Performance Tuning and Optimizing SQL Databases
• Querying Data with Transact-SQL

Project 1: Writing Complex Subqueries

Industry: General

Problem Statement: How to create subqueries using SQL?

Topics: This project will give you hands-on experience in working with SQL subqueries and utilizing them in various scenarios. Some of the subqueries that you will be working with and gaining hands-on experience in are: IN or NOT IN, ANY or ALL, EXISTS or NOT EXISTS, and other major queries.

Highlights:

• Accessing and manipulating databases
• Operators and control statements in SQL
• Executing queries in SQL against databases

Project 2: Querying a Large Relational Database

Industry: General

Problem Statement: How to get details about customers by querying the database?

Topics: In this project, you will work on downloading a database and restoring it on the server. You will then query the database to get customer details like name, phone number, email ID, sales made in a particular month, increase in month-on-month sales, and even the total sales made to a particular customer.

Highlights:

• Table basics and data types
• Various SQL operators
• Various SQL functions

Project 3: Relational Database Design

Industry: General

Problem Statement: How to convert a relational design into a table in SQL Server?

Topics: In this project, you will work on converting a relational design that has enlisted within it various users, user roles, user accounts, and their statuses. You will create a table in SQL Server and insert data into it. With at least two rows in each of the tables, you will ensure that you have created respective foreign keys.

Highlights:

• Defining relations/attributes
• Defining the primary keys
• Creating foreign keys