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Implementing A SQL Data Warehouse (M20767) - Australia

Key points about this course


Duration: 5 Days*

Exam: Implementing a Data Warehouse using SQL

Accredited: Yes

Support: 24/7

Dates & Prices Enquire
  • Gain knowledge of designing and implementing a data warehouse.
  • Understand how to create and work with columnstore indexes.
  • Learn how to deploy and configure SSIS packages.

Available delivery methods for this course

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In-house

Course Information

Implementing a SQL Data Warehouse Overview

This 5 day Implementing a SQL Database Warehouse training course aims to teach delegates the necessary skills to provision a Microsoft SQL Server 2016 database. The course will provide training on both how to migrate from an existing install and how to start fresh with a new install, as well as the provisioning of an SQL Server 2016 on premise and in Microsoft Azure.

 

Throughout the training, delegates will be required to complete labs for each module of the course. This will enable delegates to get firsthand experience with each of the topic and allow them to practise the skills and knowledge they will need to implement after the completion of the course.

 

The Knowledge Academy is a Microsoft Silver Partner, therefore this Implementing an SQL Database Warehouse training course is fully accredited by Microsoft.

Implementing a SQL Data Warehouse Outline

This course covers the following content:

Module 1: Introduction to Data Warehousing

  • 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

  • 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

  • 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: Columnstore Indexes

  • Introduction to Columnstore Indexes

  • Creating Columnstore Indexes

  • Working with Columnstore Indexes

  • Lab: Using Columnstore Indexes

  • Create a Columnstore index on the Fact Product Inventory table

  • Create a Columnstore index on the FactInternetSales table

  • Create a memory optimized Columnstore table

 

Module 5: Implementing an Azure SQL Data Warehouse

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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)

  • Using scripting in SSIS

  • Using custom components in SSIS

  • Lab: Using scripts

  • Using a script task

 

Module 13: Deploying and Configuring SSIS Packages

  • 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

  • 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

Who should attend?

This Implementing a SQL Database Warehouse training is designed for individuals who need to create BI solutions as part of their role. Specifically, Business Intelligence Developers would this course beneficial.

 

Prerequisites

There are no formal prerequisites for attending this course.

Yes, The Knowledge Academy is fully accredited by Microsoft as a Microsoft Silver Partner for this Implementing a SQL Data Warehouse training course.
Our Implementing a SQL Data Warehouse trainers are experts in their field and have years of experience with Microsoft training.
Delegates will need to pass the Implementing a SQL Data Warehouse 70-463 examination in order to complete the course. This exam is not included in the course fee.
The Knowledge Academy offers a wide range of locations across the UK and around the world, making it easy to find a training venue near you.
The price for Implementing a SQL Data Warehouse (M20767) certification in Australia starts from $1279
The Knowledge Academy is the Leading global training provider in the world for Implementing a SQL Data Warehouse (M20767).

Implementing a SQL Data Warehouse Examination

Candidates carry out this course in roder to  pass the Implementing a Data Warehouse with Microsoft SQL Server 2012/2014 70-463 examination. We do not provide the exam and it must be taken separately. This will cover the following areas:

  • Design and implement a data warehouse (10–15%)

  • Extract and transform data (20–25%)

  • Load data (25–30%)

  • Configure and deploy SSIS solutions (20–25%)

  • Build data quality solutions (15–20%)

Implementing A SQL Data Warehouse (M20767) Dates & Prices

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Mon 21st Oct 2019
Places available
$5995
Canberra
Mon 21st Oct 2019
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$5995
Sydney
Mon 4th Nov 2019
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$5995
Adelaide
Mon 4th Nov 2019
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$5995
Mon 11th Nov 2019
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$5995
Perth
Mon 18th Nov 2019
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$5995
Melbourne
Mon 2nd Dec 2019
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$5995
Canberra
Mon 9th Dec 2019
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$5995
Mon 9th Dec 2019
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$5995
Brisbane
Mon 16th Dec 2019
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$5995
Melbourne
Mon 6th Jan 2020
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$6695
Sydney
Mon 6th Jan 2020
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$6695
Adelaide
Mon 6th Jan 2020
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$7595
Canberra
Mon 6th Jan 2020
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$6695
Perth
Mon 6th Jan 2020
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$7595
Mon 6th Jan 2020
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$6495
Brisbane
Mon 6th Jan 2020
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$7595
Mon 3rd Feb 2020
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$6495
Mon 2nd Mar 2020
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$6495
Mon 27th Apr 2020
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$6495
Canberra
Mon 11th May 2020
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$6695
Perth
Mon 11th May 2020
Places available
$7595
Brisbane
Mon 11th May 2020
Places available
$7595
Melbourne
Mon 11th May 2020
Places available
$6695
Sydney
Mon 11th May 2020
Places available
$6695
Adelaide
Mon 11th May 2020
Places available
$7595
Mon 18th May 2020
Places available
$6495
Mon 1st Jun 2020
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$6495
Perth
Mon 6th Jul 2020
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$7595
Brisbane
Mon 6th Jul 2020
Places available
$7595
Melbourne
Mon 6th Jul 2020
Places available
$6695
Sydney
Mon 6th Jul 2020
Places available
$6695
Adelaide
Mon 6th Jul 2020
Places available
$7595
Canberra
Mon 6th Jul 2020
Places available
$6695
Mon 27th Jul 2020
Places available
$6495
Mon 24th Aug 2020
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$6495
Melbourne
Mon 7th Sep 2020
Places available
$6695
Sydney
Mon 7th Sep 2020
Places available
$6695
Adelaide
Mon 7th Sep 2020
Places available
$7595
Canberra
Mon 7th Sep 2020
Places available
$6695
Perth
Mon 7th Sep 2020
Places available
$7595
Brisbane
Mon 7th Sep 2020
Places available
$7595
Mon 28th Sep 2020
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$6495
Mon 26th Oct 2020
Places available
$6495
Sydney
Mon 9th Nov 2020
Places available
$6695
Adelaide
Mon 9th Nov 2020
Places available
$7595
Canberra
Mon 9th Nov 2020
Places available
$6695
Perth
Mon 9th Nov 2020
Places available
$7595
Brisbane
Mon 9th Nov 2020
Places available
$7595
Melbourne
Mon 9th Nov 2020
Places available
$6695
Mon 23rd Nov 2020
Places available
$6495
Mon 14th Dec 2020
Places available
$6495

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Key points about this course


Duration: 5 Days*

Exam: Implementing a Data Warehouse using SQL

Accredited: Yes

Support: 24/7


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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

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"...the trainer for this course was excellent. I would definitely recommend (and already have) this course to others."

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