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SQL REDDITCH TRAINING COURSES 

SQL TRAINING COURSES REDDITCH




Oracle SQL

  • 2 day course
  • Location: Redditch
  • 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 ...
  • Data Definition and Control Statements 
    Oracle Pseudocolumns 
    Modifying Table Definitions 
    The SQL Buffer 
    Datatypes 
    Inline Constraints 
    Subqueries 
    The UPDATE Statement 
    Choosing Rows with the WHERE Clause 
    Self Joins 
    Nulls and DISTINCT 
    Data Manipulation and Transactions 
    Tailoring Your SQL*Plus Environment 
    Controlling Access to Your Tables 
    Literal Values 
    SQL*Plus LOB Support 
    SQL Queries 
    Relational Database Management Systems 
    Connecting to a SQL Database 
    IN and BETWEEN 

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SQL

  • 2 day course
  • Location: Redditch
  • 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 ...
  • The BETWEEN Operator   
    Checking for NULL 
    Tables 
    Stored Procedures
    Grouping and Aggregating Data    
    Checking Multiple Conditions 
    Relationships 
     Using the WHERE clause to check for greater or less than
    Outer Joins
    Sorting By Column Position
    Foreign Keys
    Case Sensitivity
    Relational Database Management System 
    Aliases
    Common String Functions
    Comments
    Checking for Equality
    Mathematical Calculations
    Ascending and Descending Sorts         The WHERE Clause and Operator Symbols 

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Oracle PL/SQL

  • 3 day course
  • Location: Redditch
  • 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 ...
  • FOR UPDATE Cursors 
    PL/SQL Variables and Datatypes 
    Maintaining Triggers 
    Declaring Variables 
    Internal LOBs 
    Conditional Statements CASE 
    Maintaining Stored Programs
    Passing Parameters and Default Arguments 
    The UTL_FILE Package 
    The Cursor FOR Loop 
    BULK COLLECT Clause
    System Triggers 
    WHILE and FOR Loops 
    Types of Triggers 
    VARRAY and Nested TABLE Collections 
    Beyond Declarative Integrity 
    Subtypes 

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Transact SQL

  • 2 day course
  • Location: Redditch
  • 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 ...
  • Delete Data
    Work with Subqueries
    Work with Table Expressions Working with Set Operators, Conditional Operators, and Window Functions
    Control Program Flow
    Work with SSPs and SMOs
    Work with Predicates
    Work with String and Numeric Data Types
    Filter the Queried Results
    Assign Aliases Using Queries
    Work with Window Functions
    Sort the Queried Data
    Update Data
    Overview of T-SQL
    Work with Binary Data Types
    Manage Transactions Querying SQL Server System Metadata
    Write CASE Expressions Working with SQL Data Types
    Work with Set Operators
    Combine Data Using Simple Joins
    Overview of SQL Server
    Work with Variables and Batches
    Insert Data

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SQL Server Data Warehouse Implementation

  • 3 day course
  • Location: Redditch
  • 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 ...
  • Perform Transformation Tasks
    Add Script Tasks and Script Components to an SSIS Package
    Change Granularity Creating Fact Tables and Columnstore Indexes
    Add Data Flow Components to a Data Flow Task
    Introduction to Data Warehouses
    Work with MDS Databases
    Deploy a Control Flow
    Create Columnstore Indexes Implementing Data Warehouses in SQL Server 2012
    Secure Packages
    Cleanse Data Using DQS Managing SSIS Package Execution
    Troubleshoot Package Failures Deploying Packages
    Securing Packages and Databases
    Create Dimensions
    Add Packages to an SSIS Project Managing Control Flow
    Overview of Data Warehouses
    Profile OLTP Data
    Debugging and Troubleshooting Packages
    Install Integration Services Working with Integration Services
    Introduction to Data Analysis and Reporting Concepts Creating Dimensions and Changing Granularity of Dimensions
    Examine Data Warehousing Concepts

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