Online Implementing A Sql Data Warehouse Courses

Implementing a SQL Data Warehouse

Course OD20767B

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This course provides students with the knowledge and skills to provision a Microsoft SQL Server 2016 database. The course covers SQL Server 2016 provision both on-premise and in Azure, and covers installing from new and migrating from an existing install.

Provision a Database Server.
Upgrade SQL Server.
Configure SQL Server.
Manage Databases and Files (shared).

The primary audience for this course are database professionals who need to fulfil a Business Intelligence Developer role. They will need to focus on hands-on work creating BI solutions including Data Warehouse implementation, ETL, and data cleansing.

Microsoft Official Courses On-Demand (MOC On-Demand) are authorized Microsoft official courses exclusively developed by Microsoft Certified Trainers. MOC on-demand delivers a comprehensive training experience comprising a merge of high-quality audiovisuals, academic readings, Microsoft labs online and knowledge check/assessments.

MOC on-demand is a self-paced training structured for IT Professionals and Developers which makes them proficient in the Microsoft technology and develop technical skills. It focusses on providing you a live, real-time environment for hands-on training while including all the interactive features with credible content that other On-demand offerings lack.

MOC On-Demand comprises a range of courses which are structured in a modular format consisting different modules that are further segregated into lessons, each of which contains questions to testify your knowledge.

Self-paced learning

An online course structure which gives you utmost flexibility to learn.

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Access to the official curriculum anywhere & anytime.

Hands-on live labs

Microsoft Labs Online to work on your technical skills with integrated lab steps.

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Authored by Microsoft certified experts

In-depth technical content structured by individuals who wrote the software and delivered by expert instructors.

Module 1: Introduction to Data Warehousing

This module describes data warehouse concepts and architecture consideration.Lessons

Overview of Data Warehousing
Considerations for a Data Warehouse Solution

Lab : Exploring a Data Warehouse Solution

Exploring data sources
Exploring an ETL process
Exploring a data warehouse

Module 2: Planning Data Warehouse Infrastructure

This module describes the main hardware considerations for building a data warehouse.Lessons

Considerations for data warehouse infrastructure.
Planning data warehouse hardware.

Lab : Planning Data Warehouse Infrastructure

Planning data warehouse hardware

Module 3: Designing and Implementing a Data Warehouse

This module describes how you go about designing and implementing a schema for a data warehouse.Lessons

Designing dimension tables
Designing fact tables
Physical Design for a Data Warehouse

Lab : Implementing a Data Warehouse Schema

Implementing a star schema
Implementing a snowflake schema
Implementing a time dimension table

Module 4: Column store Indexes

This module introduces Columnstore Indexes.Lessons

Introduction to Columnstore Indexes
Creating Columnstore Indexes
Working with Columnstore Indexes

Lab : Using Columnstore Indexes

Create a Columnstore index on the FactProductInventory table
Create a Columnstore index on the FactInternetSales table
Create a memory optimized Columnstore table

Module 5: Implementing an Azure SQL Data Warehouse

This module describes Azure SQL Data Warehouses and how to implement them.Lessons

Advantages of Azure SQL Data Warehouse
Implementing an Azure SQL Data Warehouse
Developing an Azure SQL Data Warehouse
Migrating to an Azure SQ Data Warehouse
Copying data with the Azure data factory

Lab : Implementing an Azure SQL Data Warehouse

Create an Azure SQL data warehouse database
Migrate to an Azure SQL Data warehouse database
Copy data with the Azure data factory

Module 6: Creating an ETL Solution

At the end of this module you will be able to implement data flow in a SSIS package.Lessons

Introduction to ETL with SSIS
Exploring Source Data
Implementing Data Flow

Lab : Implementing Data Flow in an SSIS Package

Exploring source data
Transferring data by using a data row task
Using transformation components in a data row

Module 7: Implementing Control Flow in an SSIS Package

This module describes implementing control flow in an SSIS package.Lessons

Introduction to Control Flow
Creating Dynamic Packages
Using Containers
Managing consistency.

Lab : Implementing Control Flow in an SSIS Package

Using tasks and precedence in a control flow
Using variables and parameters
Using containers

Lab : Using Transactions and Checkpoints

Using transactions
Using checkpoints

Module 8: Debugging and Troubleshooting SSIS Packages

This module describes how to debug and troubleshoot SSIS packages.Lessons

Debugging an SSIS Package
Logging SSIS Package Events
Handling Errors in an SSIS Package

Lab : Debugging and Troubleshooting an SSIS Package

Debugging an SSIS package
Logging SSIS package execution
Implementing an event handler
Handling errors in data flow

Module 9: Implementing a Data Extraction Solution

This module describes how to implement an SSIS solution that supports incremental DW loads and changing data.Lessons

Introduction to Incremental ETL
Extracting Modified Data
Loading modified data
Temporal Tables

Lab : Extracting Modified Data

Using a datetime column to incrementally extract data
Using change data capture
Using the CDC control task
Using change tracking

Lab : Loading a data warehouse

Loading data from CDC output tables
Using a lookup transformation to insert or update dimension data
Implementing a slowly changing dimension
Using the merge statement

Module 10: Enforcing Data Quality

This module describes how to implement data cleansing by using Microsoft Data Quality services.Lessons

Introduction to Data Quality
Using Data Quality Services to Cleanse Data
Using Data Quality Services to Match Data

Lab : Cleansing Data

Creating a DQS knowledge base
Using a DQS project to cleanse data
Using DQS in an SSIS package

Lab : De-duplicating Data

Creating a matching policy
Using a DS project to match data

Module 11: Using Master Data Services

This module describes how to implement master data services to enforce data integrity at source.Lessons

Introduction to Master Data Services
Implementing a Master Data Services Model
Hierarchies and collections
Creating a Master Data Hub

Lab : Implementing Master Data Services

Creating a master data services model
Using the master data services add-in for Excel
Enforcing business rules
Loading data into a model
Consuming master data services data

Module 12: Extending SQL Server Integration Services (SSIS)

This module describes how to extend SSIS with custom scripts and components.Lessons

Using scripting in SSIS
Using custom components in SSIS

Lab : Using scripts

Using a script task

Module 13: Deploying and Configuring SSIS Packages

This module describes how to deploy and configure SSIS packages.Lessons

Overview of SSIS Deployment
Deploying SSIS Projects
Planning SSIS Package Execution

Lab : Deploying and Configuring SSIS Packages

Creating an SSIS catalog
Deploying an SSIS project
Creating environments for an SSIS solution
Running an SSIS package in SQL server management studio
Scheduling SSIS packages with SQL server agent

Module 14: Consuming Data in a Data Warehouse

This module describes how to debug and troubleshoot SSIS packages.Lessons

Introduction to Business Intelligence
An Introduction to Data Analysis
Introduction to reporting
Analyzing Data with Azure SQL Data Warehouse

Lab : Using a data warehouse

Exploring a reporting services report
Exploring a PowerPivot workbook
Exploring a power view report

HD video based Lectures
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Downloadable Study Material
Run Course on Mobile or PC
Certificate of Completion by Microsoft

Implementing a SQL Data Warehouse