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SQL TRAINING COURSES SANDWELL



SQL

  • 2 day course
  • Location: Sandwell
  • Course Outline

  • SQL (Structured Query Language) is central to working with any form of database. In this practical hands on course participants learn how to use the full potential of SQL to write complex queries. The course covers select statements, grouping and aggregating  data,  joins,  subqueries and unions. Participants will also learn how to insert, update and delete data and how to create and alter Views and Stored Procedures. The course will significantly help anyone who needs to retrieve or manipulate information in a relational database. No prior knowledge of SQL is required.

  • Some of the training topics covered include ...
    • Benefits of Stored Procedures
    Columns 
    Dropping Stored Procedures
    Benefits of Views 
    Sorting By Multiple Columns  
    Table Aliases  
    Data Types
    Relational Database Management System 
    The WHERE Clause and Operator Words    
    Simple SELECT Statements
    Common Math Functions    
    Adding and Dropping Columns
    Tables 
    Selecting All Columns in All Rows
    Creating Stored Procedures 
    Relational Databases
    Primary Keys
    Mathematical Calculations

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Oracle PL/SQL

  • 3 day course
  • Location: Sandwell
  • Course Outline

  • This three day course gives participants a sound understanding of working with Oracle PL/SQL. The courses assumes no prior programming knowledge and is hands on in character.

  • Some of the training topics covered include ...
    • Exception Handling
    Local Procedures and Functions 
    Multi-Row Queries 
    Dependencies and Validation 
    Temporary LOBs 
    Row-Level Triggers 
    FOR UPDATE Cursors 
    Closing Cursors 
    Overloading Package Functions and Procedures 
    Cursor Parameters 
    Triggers on Views 
    Calling a Stored Procedure 
    Oracle-Supplied Packages 
    Creating a Stored Procedure 
    WHILE and FOR Loops 
    Nesting Blocks 
    Procedures and Functions 
    Conditional Statements IF/THEN 

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SQL Server Data Warehouse Implementation

  • 3 day course
  • Location: Sandwell
  • Course Outline

  • Participants will learn to perform ETL (Extraction Transformation and Loading) operations by creating SSIS packages, managing a control flow and data flow, executing packages, and troubleshooting errors. To ensure the smooth functioning of the ETL operations, you will manage SSIS packages and secure them. Delegates will use SSIS packages to design and build a Data Warehouse.

    The course requires a working knowledge of SQL.

  • Some of the training topics covered include ...
    • Introduction to Data Warehouses
    Add Packages to an SSIS Project Managing Control Flow
    Change Granularity Creating Fact Tables and Columnstore Indexes
    Overview of Data Warehouses
    Examine MSI Packages
    Introduction to Data Analysis and Reporting Concepts Creating Dimensions and Changing Granularity of Dimensions
    Execute Packages from Different Control Flow Working with Dynamic Variables
    Profile OLTP Data
    Secure Packages
    Work with Windows Azure
    Cleanse Data Using DQS Managing SSIS Package Execution
    Deploy SSIS Packages
    Create an SSIS Project
    Configure MDS
    Debugging and Troubleshooting Packages
    Create Dimensions
    Securing Packages and Databases
    Overview of Data Warehouse Components
    Create Columnstore Indexes Implementing Data Warehouses in SQL Server 2012

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Transact SQL

  • 2 day course
  • Location: Sandwell
  • Course Outline

  • In this two day intensive course you will learn how to create queries to retrieve, add, update, and report from your SQL Server database.  You will sort and aggregate data, use built-in functions, create stored procedures, subqueries, table operators, set operators, conditional operators, views, indexes, and explore SQL Server 2012 error handling features.

    The course is particularly suitable for Data Analysts or candidates involved in retrieving and reporting business and management information. No prior SQL knowledge is assumed.

    The course uses a SQL Server 2012 database but is suitable for users of earlier SQL Server versions. For those interested in external accreditation the course materials are mapped against the Microsoft SQL Server 2012 Database Querying (70-461) exam syllabus.

  • Some of the training topics covered include ...
    • Work with Variables and Batches
    Work with Set Operators
    Analyze Data from Query Plans
    Work with System Catalog Views Optimizing Query Performance
    Work with Dynamic SQL Working with Subqueries and Table Expressions
    Work with String and Numeric Data Types
    Sort the Queried Data
    Manage Views
    Filter the Queried Results
    Work with Window Functions
    Manage Stored Procedures
    Create Queries Using Join Algorithms
    Work with Data Access Technologies Implementing Stored Procedures
    Manage Triggers
    Configure User-Defined Functions (UDF)
    Update Data
    Combine Data Using Simple Joins
    Work with System Databases
    Work with Grouping Sets Managing Error Handling and Transactions
    Work with Subqueries
    Control Program Flow

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Oracle SQL

  • 2 day course
  • Location: Sandwell
  • Course Outline

  • A two day intensive course familiasing participants with the use of SQL in an Oracle context. SQL statements will be written and executed using a number of Oracle environments including SQL* Plus and Oracle SQL Developer.

  • Some of the training topics covered include ...
    • Views 
    Connecting to a SQL Database 
    Data Inconsistencies 
    Explicit Locking 
    The SQL Buffer 
    Other Database Objects 
    The Aggregate Functions 
    The EXISTS Operator 
    SQL Queries - Joins 
    Choosing Rows with the WHERE Clause 
    Graphical Clients 
    Intervals 
    Scalar Functions 
    Regular Expression Functions 
    Concurrency 
    Updatable Views 
    Introduction to SQL 
    Relational Database and SQL Overview 
    IN and BETWEEN 
    Review of Relational Database Terminology 
    Oracle Versioning and History 

  • See Training Course Details...



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