Course Introduction

Implementing a Data Warehouse with Microsoft SQL Server (M20463) course describes ways to implement a data warehouse platform for supporting BI solution to delegates. During this 5 day course, participants will learn creating a data warehouse, implement ETL using Microsoft SQL Server 2014. Additionally, validating and cleansing data with Microsoft SQL Server data quality services and SQL Server master data services will be included in the course.

Implementing a Data Warehouse with Microsoft SQL Server

This  training class describes how to implement a data warehouse platform to support a BI solution. Delegates will know how to develop a data warehouse with Microsoft SQL Server 2014, implement ETL with SQL Server Integration Services, and validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services.This training  is meant for database delegates who need to create and support a data warehousing solution.

Course Content

Data warehousing overview

  • An introduction- Data warehousing
  • Data warehousing solution consideration
  • Explore data sources and ETL process
  • Explore data warehouse

Planning Data Warehouse Infrastructure

  • Data Warehouse infrastructure considerations
  • Hardware planning

Designing and Implementing a Data Warehouse

  • Design Overview of Data warehouse
  • Dimension tables designing
  • Design fact tables
  • Data warehouse physical design
  • Implement star schema and snowflake schema
  • Implement time dimension

Creating an ETL Solution with SSIS

  • ETL with SSIS Introduction
  • Data Sources exploration
  • Implement data flow
  • Data sources exploration
  • Transfer data by making use of Data Flow Task
  • Use Transformations in a Data Flow

Implementing Control Flow in an SSIS Package

  • Control Flow introduction
  • Dynamic Packages creation
  • Use containers
  • Consistency Management
  • Use Tasks and Precedence in Control Flow
  • Use Variables, Parameters and Containers
  • Use transactions and checkpoints

Debugging and Troubleshooting SSIS Packages

  • Debugging SSIS Package
  • Logging SSIS Package Events
  • Handle Errors in an SSIS Package
  • SSIS Package debugging
  • Logging SSIS Package Execution
  • Event Handler implementation
  • Handle errors in a Data Flow

Implementing a Data Extraction Solution

  • Data extraction planning
  • Modified data extraction
  • Using data time column and change date capture
  • Using CDC control task and change tracking

Loading Data into a Data Warehouse

  • Data tools planning
  • Using SSIS for incremental loads
  • Using Transact-SQL loading techniques
  • Data loading from CDC output tables
  • Using Lookup Transformation for Inserting or Updating Dimension Data
  • Implement a Slowly Changing Dimension
  • Using MERGE Statement

Enforcing Data Quality

  • Data Quality introduction
  • Use data quality services to cleanse Data
  • Create a DQS knowledge base
  • Making use of DQS Project to Cleanse Data
  • Using DQS in an SSIS Package

Master Data Services

  • Master Data Service’s introduction
  • Master Data Services Model implementation
  • Managing Master Data
  • Creating a Master Data Hub
  • Master Data Services Model creation
  • Using Master Data Services Add-in for Excel
  • Business Rules enforcing
  • Loading Data into a Model
  • Consuming Master Data Services Data

Extending SQL Server Integration Services

  • Using scripts in SSIS
  • Using Custom Components in SSIS

Deploying and Configuring SSIS Packages

  • SSIS Deployment Overview
  • SSIS projects deployment
  • SSIS catalogue creation
  • Running SSIS package in SQL Server Management Studio
  • Schedule SSIS Packages with SQL Server Agent

Consuming Data in a Data Warehouse

  • Business Intelligence Introduction
  • Exploring an Enterprise BI Solution
  • Exploring a Self-Service BI Solution

Note: Lab is provided for this course for participant’s hands on practice.

Prerequisites

Delegates prior taking the course must carry at least two years of experience working with relational databases which comprises:

  • Designing normalised database.
  • Create tables and its relationships.
  • Query using transacts SQL.
  • Some exposure of basic programming constructs (Such as looping, branching, etc.)
  • Knowledge of the main business points such as revenue, profitability and financial accounting can be beneficial.

Target Audience

Implementing a Data Warehouse with Microsoft SQL Server (M20463) is designed for database professionals who need to create as well as support data warehousing solutions.

Primary focus will be on learning the following responsibilities:

  • Implement data warehouse.
  • Using data quality service to cleanse data.
  • Using Master data services enforcing data integrity.
  • Develop SSIS package for extracting data, transformation and loading data.

Delegates Will Learn How To

Paticipants will be learning the following:

  • Ability to Describe data warehouse concepts and architecture.
  • Learning to select suitable hardware platform for the data warehouse.
  • Designing as well as implement data warehouse.
  • Implementing data flow and control flow in SSIS packages.
  • Debug as well as troubleshoot SSIS packages.
  • Implementing ETL solution which supports incremental data extraction and data loading.
  • Implementing master data services for promoting and implementing integrity.
  • Extending SSIS using custom scripts and components.
  • Configuring and Deploying SSIS packages.
  • Explaining how BI solutions can make use of data from the data warehouse.

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Our objective has always been to address and resolve the problems of our learners in an efficient manner and improve their learning prospects. We are accustomed in providing training courses as per our learner’s convenience. We love every opportunity to use our experience to resolve difficulties confronted by learners.

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Implementing a Data Warehouse with Microsoft SQL Server

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