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Microsoft - Implementing a Data Warehouse with Microsoft SQL Server 2012/14

Duration

Duration:

Only 2 Days

Method

Method:

Classroom / Online / Hybrid

Next date

Next date:

7/2/2022 (Monday)

Overview

On this accelerated 2 day SQL server course you' focus on implementing a Data Warehouse in SQL Server 2014 and 2012. You'll also learn how data warehousing supports you to create Business Intelligence solutions. The course also teaches you to use SQL Sever Data Quality Services and SQL Server Master Data Services.

Taught by your official Microsoft Certified Trainer, you’ll use official Microsoft curriculum and practice tests. You’ll also use Firebrand’s unique Lecture | Lab | Review technique, immersing you in topics like:

  • Designing and implementing of dimensions and fact tables
  • Extracting, transforming and loading data
  • Configuring and deploying SSIS solutions
  • Validating and cleansing data

You’ll be prepared to sit exam 70-463: Implementing a Data Warehouse with Microsoft SQL Server on site at Firebrand’s training centre. The exam is included in the course and is covered by our certification guarantee.

This course is aimed at database management professionals, helping them fulfil roles like Business Intelligence Developer.

Seven reasons why you should sit your course with Firebrand Training

  1. Two options of training. Choose between residential classroom-based, or online Data Warehousing with SQL Server courses
  2. You'll be Data Warehousing with SQL Server certified in just 2 days. With us, you’ll be Data Warehousing with SQL Server trained in record time
  3. Our Data Warehousing with SQL Server course is all-inclusive. A one-off fee covers all course materials, exams, accommodation and meals. No hidden extras
  4. Pass Data Warehousing with SQL Server first time or train again for free. This is our guarantee. We’re confident you’ll pass your course first time. But if not, come back within a year and only pay for accommodation, exams and incidental costs
  5. You’ll learn more. A day with a traditional training provider generally runs from 9am – 5pm, with a nice long break for lunch. With Firebrand Training you’ll get at least 12 hours/day quality learning time, with your instructor
  6. You’ll learn Data Warehousing with SQL Server faster. Chances are, you’ll have a different learning style to those around you. We combine visual, auditory and tactile styles to deliver the material in a way that ensures you will learn faster and more easily
  7. You’ll be studying Data Warehousing with SQL Server with the best. We’ve been named in Training Industry’s “Top 20 IT Training Companies of the Year” every year since 2010. As well as winning many more awards, we’ve trained and certified 108394 professionals, and we’re partners with all of the big names in the business

Benefits

Other accelerated training providers rely heavily on lecture and independent self-testing and study.

Effective technical instruction must be highly varied and interactive to keep attention levels high, promote camaraderie and teamwork between the students and instructor, and solidify knowledge through hands-on learning.

Firebrand Training provides instruction to meet every learning need:

  • Intensive group instruction
  • One-on-one instruction attention
  • Hands-on labs
  • Lab partner and group exercises
  • Question and answer drills
  • Independent study

This information has been provided as a helpful tool for candidates considering training. Courses that include certification come with a certification guarantee. Pass first time or train again for free (just pay for accommodation and exams on your return). We do not make any guarantees about personal successes or benefits of obtaining certification. Benefits of certification determined through studies do not guarantee any particular personal successes.

Curriculum

MOC 20463D - Implementing a Data Warehouse with Microsoft SQL Server

Module 1: Introduction to Data Warehousing

This module provides an introduction to the key components of a data warehousing solution and the high-level considerations you must take into account when you embark on a data warehousing project.

Lessons

  • Overview of Data Warehousing
  • Considerations for a Data Warehouse Solution

Lab : Exploring a Data Warehousing Solution

After completing this module, you will be able to:

  • Describe the key elements of a data warehousing solution
  • Describe the key considerations for a data warehousing project

Module 2: Data Warehouse Hardware Considerations

This module discusses considerations for selecting hardware and distributing SQL Server facilities across servers.

Lessons

  • Considerations for building a Data Warehouse
  • Data Warehouse Reference Architectures and Appliances

Lab : Planning Data Warehouse Infrastructure

After completing this module, you will be able to:

  • Describe key considerations for BI infrastructure.
  • Plan data warehouse infrastructure.

Module 3: Designing and Implementing a Data Warehouse

This module describes the key considerations for the logical design of a data warehouse, and then discusses best practices for its physical implementation.

Lessons

  • Logical Design for a Data Warehouse
  • Physical design for a data warehouse

Lab : Implementing a Data Warehouse Schema

After completing this module, you will be able to:

  • Describe a process for designing a dimensional model for a data warehouse
  • Design dimension tables for a data warehouse
  • Design fact tables for a data warehouse
  • Design and implement effective physical data structures for a data warehouse

Module 4: Creating an ETL Solution with SSIS

This module discusses considerations for implementing an ETL process, and then focuses on Microsoft SQL Server Integration Services (SSIS) as a platform for building ETL solutions.

Lessons

  • Introduction to ETL with SSIS
  • Exploring Data Sources
  • Implementing Data Flow

Lab : Implementing Data Flow in an SSIS Package

After completing this module, you will be able to:

  • Describe the key features of SSIS.
  • Explore source data for an ETL solution.
  • Implement a data flow by using SSIS

Module 5: Implementing Control Flow in an SSIS Package

This module describes how to implement ETL solutions that combine multiple tasks and workflow logic.

Lessons

  • Introduction to Control Flow
  • Creating Dynamic Packages
  • Using Containers
  • Managing Consistency

Lab : Implementing Control Flow in an SSIS Package

Lab : Using Transactions and Checkpoints

After completing this module, you will be able to:

  • Implement control flow with tasks and precedence constraints
  • Create dynamic packages that include variables and parameters
  • Use containers in a package control flow
  • Enforce consistency with transactions and checkpoints

Module 6: Debugging and Troubleshooting SSIS Packages

This module describes how you can debug packages to find the cause of errors that occur during execution. It then discusses the logging functionality built into SSIS that you can use to log events for troubleshooting purposes. Finally, the module describes common approaches for handling errors in control flow and data flow.

Lessons

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

Lab : Debugging and Troubleshooting an SSIS Package

After completing this module, you will be able to:

  • Debug an SSIS package
  • Implement logging for an SSIS package
  • Handle errors in an SSIS package

Module 7: Implementing an Incremental ETL Process

This module describes the techniques you can use to implement an incremental data warehouse refresh process.

Lessons

  • Introduction to Incremental ETL
  • Extracting Modified Data
  • Loading Modified data

Lab : Extracting Modified Data

Lab : Loading Incremental Changes

After completing this module, you will be able to:

  • Plan data extraction
  • Extract modified data

Module 8: Enforcing Data Quality

This module introduces Microsoft SQL Server Data Quality Services (DQS), and describes how you can use it to cleanse and deduplicate data.

Lessons

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

Lab : Cleansing DataLab : De-duplicating data

After completing this module, you will be able to:

  • Describe how Data Quality Services can help you manage data quality
  • Use Data Quality Services to cleanse your data
  • Use Data Quality Services to match data

Module 9: Using Master Data Services

Master Data Services provides a way for organizations to standardize data and improve the quality, consistency, and reliability of the data that guides key business decisions. This module introduces Master Data Services and explains the benefits of using it.

Lessons

  • Master Data Services Concepts
  • Implementing a Master Data Services Model
  • Managing Master Data
  • Creating a Master Data Hub

Lab : Implementing Master Data Services

After completing this module, you will be able to:

  • Describe key Master Data Services concepts
  • Implement a Master Data Services model
  • Use Master Data Services tools to manage master data
  • Use Master Data Services tools to create a master data hub

Module 10: Extending SQL Server Integration Services

This module describes the techniques you can use to extend SSIS. The module is not designed to be a comprehensive guide to developing custom SSIS solutions, but to provide an awareness of the fundamental steps required to use custom components and scripts in an ETL process that is based on SSIS.

Lessons

  • Using Scripts in SSIS
  • Using Custom Components in SSIS

Lab : Using Custom Components and Scripts

After completing this module, you will be able to:

  • Include custom scripts in an SSIS package
  • Describe how custom components can be used to extend SSIS

Module 11: Deploying and Configuring SSIS Packages

In this module, students will learn how to deploy packages and their dependencies to a server, and how to manage and monitor the execution of deployed packages.

Lessons

  • Overview of SSIS Deployment
  • Deploying SSIS Projects
  • Planning SSIS Package Execution

Lab : Deploying and Configuring SSIS Packages

After completing this module, you will be able to:

  • Describe considerations for SSIS deployment.
  • Deploy SSIS projects.
  • Plan SSIS package execution.

Module 12: Consuming Data in a Data Warehouse

This module introduces business intelligence (BI) solutions and describes how you can use a data warehouse as the basis for enterprise and self-service BI.

Lessons

  • Introduction to Business Intelligence
  • Introduction to Reporting
  • An Introduction to Data Analysis

Lab : Using Business Intelligence Tools

After completing this module, you will be able to:

  • Describe BI and common BI scenarios
  • Describe how a data warehouse can be used in enterprise BI scenarios
  • Describe how a data warehouse can be used in self-service BI scenarios

Exam Track

You'll sit the following exam at the Firebrand Training Centre, covered by your Certification Guarantee:

  • Exam 70-463: Implementing a Data Warehouse with Microsoft SQL Server

What's Included

Microsoft Official Curriculum

  • MOC 20463D - Implementing a Data Warehouse with Microsoft SQL Server

Books:

  • Training Kit (Exam 70-463): Implementing a Data Warehouse with Microsoft SQL Server 2012 - ISBN 9780735666092
  • Training Kit Exam 70-462: Administering Microsoft SQL Server 2012 Databases Book/CD Package - ISBN 82039780735666078

Your accelerated course includes:

  • Accommodation *
  • Meals, unlimited snacks, beverages, tea and coffee *
  • On-site exams **
  • Exam vouchers **
  • Practice tests **
  • Certification Guarantee ***
  • Courseware
  • Up-to 12 hours of instructor-led training each day
  • 24-hour lab access
  • Digital courseware **
  • * For residential training only. Doesn't apply for online courses
  • ** Some exceptions apply. Please refer to the Exam Track or speak with our experts
  • *** Pass first time or train again free (just pay for accommodation, exams and incidental costs)

Prerequisites

It's recommended you possess the following knowledge and skills:

  • At least 2 years’ experience of working with relational databases, including:
    • Designing a normalized database.
    • Creating tables and relationships.
    • Querying with Transact-SQL.
  • Some exposure to basic programming constructs (such as looping and branching).
  • An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable.

Unsure whether you meet the prerequisites? Don’t worry. Your training consultant will discuss your background with you to understand if this course is right for you.

Reviews

Here's the Firebrand Training review section. Since 2001 we've trained exactly 108394 students and asked them all to review our Accelerated Learning. Currently, 96.66% have said Firebrand exceeded their expectations.

Read reviews from recent accelerated courses below or visit Firebrand Stories for written and video interviews from our alumni.


"The knowledge and professionalism of the instructor, supporting and replaying all our question is really amazing. The Ruwenberg hotel is really nice and the service on the hotel fantastic. Overall, I''ve had a fantastic experience."
David Alonso. (9/4/2018 (Monday) to 11/4/2018 (Wednesday))

"Good environment for a training, professional people."
Anonymous (9/4/2018 (Monday) to 11/4/2018 (Wednesday))

"A 9 day sprint through all things Azure with a focus on getting through the MSCE exams for architecting and developing cloud solutions. The long days paid off. Comfortable accommodation with knowledgeable and attentive staff."
Graham Morgan, Spatial Consultants Ltd. (10/7/2017 (Monday) to 18/7/2017 (Tuesday))

"We had Phil Anderson, a very nice and intelligent man. He had to put through a lot of information. I did not take the exam at the end of the week, because I am a person who needs more time to process information. The course was structured and well done by Phil. I would recommend him as a trainer. Teacher gets a 9. The facilities of the training were good. Everything was prepared before the training, so it had an easy start. "
Danny van Oijen, Havenziekenhuis. (13/3/2017 (Monday) to 18/3/2017 (Saturday))

"Intense study with a great instructor and awesome co-students."
Martin Petersen, Silvaco A/S. (25/1/2016 (Monday) to 30/1/2016 (Saturday))

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