SQL Training in Bangalore with SQL Certification

Data Anomalies, Update Anomalies, Insertion Anomalies, Deletion Anomalies, Types of Dependencies, Functional Dependency, Fully functional dependency, Partial functional dependency, Transitive functional dependency, Multi-valued functional dependency, Decomposition of tables, Lossy decomposition, Lossless decomposition, What is Normalization?, First Normal Form, Second Normal Form, Third Normal Form, Boyce-Codd Normal Form(BCNF), Fourth Normal Form, Entity-Relationship Model, Entity and Entity Set, Attributes and types of Attributes, Entity Sets, Relationship Sets, Degree of Relationship, Mapping Cardinalities, One-to-One, One-to-Many, Many-to-one, Many-to-many, Symbols used in E-R Notation.

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.

Corelated Subquery, Grouping Sets, Rollup, Cube

Hands-on Exercise

Implementing Corelated Subqueries, Using EXISTS with a Correlated subquery, Using Union Query, Using Grouping Set Query, Using Rollup, Using CUBE to generate four grouping sets, Perform a partial CUBE.

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