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

Varighet

Varighet:

Bare 2 dager

Metode

Metode:

klasserommet / på nett / Hybrid

Neste dato

Neste dato:

24/6/2024 (Mandag)

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.

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 Se priser

Her er 8 grunner til hvorfor du skal gjennomføre ditt Data Warehousing with SQL Server hos Firebrand Training:

  1. Du blir utdannet og sertifisert på bare 2 dager. Hos oss får du din utdanning og sertifisering på rekordtid, en sertifisering du også gjennomfører der og da som en integrert del av den intensive, akselererte utdanningen.
  2. Alt er inkludert. Et engangsbeløp dekker alt kursmaterial, eksamen, kost og losji og tilbyr den mest kostnadseffektive måten å gjennomføre ditt Data Warehousing with SQL Server kurs og sertifisering på. Og dette uten noen uannonserte ytterligere kostnader.
  3. Du klarer sertifiseringen første gangen eller kan gå kurset om igjen kostnadsfritt. Det er vår garanti. Vi er sikre på at du vil klare din Data Warehousing with SQL Server sertifisering første gangen. Men skulle du mot formodning ikke gjøre det kan du innen et år komme tilbake og kun betale for eventuelle overnattinger og din eksamen. Alt annet er gratis.
  4. Du lærer deg mer.Tradisjonelle utdanningsdager varer fra kl. 09.00 til 16.00 med lange lunsj- og kaffepauser. Hos Firebrand Training får du minst 12 timers effektiv og fokusert kvalitetsutdanning hver dag sammen med din instruktør, uten private eller arbeidsrelaterte, forstyrrende momenter.
  5. Du lærer deg Data Warehousing with SQL Server raskere. Vi kombinerer de tre innlæringsmetodene (Presentasjon |Øving| Diskusjon) slik at vi gjennomfører kurset på en måte som sikrer at du lærer deg raskere og lettere.
  6. Du er i sikre hender.Vi har utdannet og sertifisert 134.561 personer, vi er partner med alle de store navn i bransjen og vi har vunnet atskillige utmerkelser, bla. a. "Årets Learning Partner 2010, 2011, 2012, 2013 og 2015” fra Microsoft Danmark og med en vekst på 1430 % siden 2009 er vi årets Gazelle prisvinner på Sjælland, Danmark.
  7. Du lærer deg ikke bare teorien. Vi har videreutviklet Data Warehousing with SQL Server kursen og tilbyr flere praktiske øvelser og sikrer på den måten, at du kan bruke dine ferdigheter for å løse daglige praktiske problemstillinger.
  8. Du lærer av de beste. Våre instruktører på Data Warehousing with SQL Server er de beste i bransjen og tilbyr en helt unik blanding av kunnskap, praktisk erfaring og pasjon for å lære bort.

Benefits

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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

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.

Anmeldelser

Vi har lært opp 134.561 personer på 12 år. Vi ba dem om å anmelde vår akselererte opplæring. Akkurat nå har 96,41% angitt at Firebrand overgikk forventningene:

"The training for PL-100 is an intense course, jam-packed with references, resources delivered by a super knowledgeable instructor. Would recommend having a sound base knowledge of Microsoft Power Platform before attending. MS Learn provides topics for PL-100 and also a study guide for the exam which is very useful when preparing for exam."
Jessica Brooks, Kenvue. (3/1/2024 (Onsdag) til 4/1/2024 (Torsdag))

"Training facilities were great and the hotel onsite is nice."
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"It's the best way to learn without any distraction. Training, eat, sleep, shower."
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"When learning with Firebrand, everything is taken care of for you. This allows you to pour everything into absorbing and understanding your course content amongst peers."
ML, Griggster Limited. (3/10/2023 (Tirsdag) til 6/10/2023 (Fredag))

"Perfect instructor with much knowledge and the ability to bring it to the people. Thank you. The topic is huge but I would have expected a little bit more working together in the system."
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Kursdatoer

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Slutt

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19/2/2024 (Mandag)

20/2/2024 (Tirsdag)

Ferdig - Gi tilbakemelding

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24/6/2024 (Mandag)

25/6/2024 (Tirsdag)

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5/8/2024 (Mandag)

6/8/2024 (Tirsdag)

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16/9/2024 (Mandag)

17/9/2024 (Tirsdag)

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28/10/2024 (Mandag)

29/10/2024 (Tirsdag)

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9/12/2024 (Mandag)

10/12/2024 (Tirsdag)

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