Master Data Services & Data Quality Services with SQL 20122014 and Excel
€1440, aangeboden door Master it Training
Studies wijzen uit dat data verdwijnt met 2 % per maand. Alle organisaties moeten kunnen vertrouwen op de betrouwbaarheid van de informatie en ondertussen zorgen dat de integriteit van informatie en de consistentie van data constant is over de verschillende applicaties. Microsoft SQL Server 20122014 Master Data Services is een krachtige feature, die organisaties ondersteund om een gestructureerde hiërarchie in de data te creëren. Dit zorgt ervoor dat data verzamelt en gebruikt over verschillende departementen, silo’s en databases, gestandaardiseerd is en correct op elkaar aansluit. Daardoor worden verschillende databases interoperabel. Wanneer dit gecombineerd wordt met Data Quality Services en Excel leidt dit tot een “end to end systemâ€.Na afronding van deze training kun je: De basis begrijpen van de concepten achter master data management; Master Data Services configureren; Modellen en entiteiten creëren; Attributen toevoegen, waaronder domeingebaseerde attributen; Een “member†toevoegen via de web interface; Een transactie terugdraaien; Attribuut groepen aanmaken en configureren; Creëren en configureren van afgeleide hiërarchieën; Aanmaken en configureren van collecties; Een “leaf member†aanmaken met TSQL; Een “member†verwijderen via de web interface en de resultaten bekijken in SSMS; Errors bekijken in batch files; “Leaf members†inladen met SQL Server Integration Services en “flat filesâ€; Versies maken en configureren; Navigeren in de business rules interface; Business rules aanmaken; Een waarde invullen gebaseerd op een andere waarde; Validatie problemen onderzoeken en oplossen; Beveiliging opzetten in MDS; Creëren en configureren van een subscriptie view; Een connectie opzetten met een MDS database via Excel; Data publiceren op een MDS database met Excel; Data filteren met Excel; Een query opslaan naar Excel; Een entiteit creëren vanuit data in Excel; Een nieuwe kennisbank maken met Excel; Een DQS Quality Cleansing Project maken.
Let op. Deze training is exclusief het examen.
Doelgroep
Deze training is bedoeld voor SQL professionals, Business Intelligence ontwikkellaars, data analysten, data stewards en Project Managers die meer willen leren over de toepassing van Master Data Services.
Voorkennis voor de Master Data Services & Data Quality Services with SQL 20122014 and Excel training
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Onderwerpen in de Master Data Services & Data Quality Services with SQL 20122014 and Excel training
Module 1: COURSE OVERVIEWThis module explains how the class will be structured and introduces course materials and additional administrative information.Lessons Introduction Course Materials Facilities Prerequisites What We'll Be Discussing Lab : COURSE OVERVIEW There are no exercises for this module. After completing this module, students will be able to: Successfully log into their virtual machine. Have a full understanding of what the course intends to cover. Module 2: MASTER DATA MANAGEMENT CONCEPTSIn this introductory module we will introduce the need for Master Data Management and discuss a number of high order concepts introducing the subject area.Lessons What is Master Data Management? The Need for Master Data Management Data Quality Master Data vs. Transactional Data Master Data Management Team Master Data Management Architectures The MDM ExtractTransformLoad Lab : MASTER DATA MANAGEMENT CONCEPTS There are no exercises for this module. After completing this module, students will be able to: Have a basic understanding of the concepts behind master data management. Module 3: MICROSOFT MASTER DATA SERVICES OVERVIEWIn this module we will examine a master data management project implementation and describe the concept of the different systems involved. We will then move into key objects within MDS that are critically important for understanding MDS.Lessons Project Implementation Master Data Services Key Terms Master Data Services Web Interface Installing Master Data Services Lab : MICROSOFT MASTER DATA SERVICES OVERVIEW Configuring Master Data Services After completing this module, students will be able to: Configure Master Data Services. Module 4: UNDERSTANDING DATA MODELSWe touched on the basics of the MDS object model already and covered core concepts such as entities, attributes, members and hierarchies. In this module we will expand on that and take an indepth look at all the objects in the MDS model. In addition we will examine modeling concepts and deployment.Lessons Modeling Process MDS Object Model The Model Object Lab : UNDERSTANDING DATA MODELS Create Model and Entities Adding Attributes Including DomainBased Attributes Adding a Member Via the Web Interface Reversing a Transaction Attribute Groups Derived Hierarchies Collections After completing this module, students will be able to: Create models and entities. Add attributes including domainbased attributes. Add a member via the web interface. Reverse a transaction. Create and configure attribute groups. Create and configure derived hierarchies. Create and configure collections. Module 5: IMPORTING DATAThe objective of this module is to learn how to load data into MDS.Lessons MDS EntityBased Staging Lab : IMPORTING DATA Create a Leaf Member with TSQL Delete a Member with the Web Interface and Examine Results in SSMS Viewing Errors in Batch Files Loading Leaf Members with SQL Server Integration Services and Flat Files After completing this module, students will be able to: Create a leaf member with TSQL. Delete a member with the web interface and examine results in SSMS. View errors in batch files. Load leaf members with SQL Server Integration Services and flat files. Module 6: VERSION MANAGEMENTIn this module we will learn how to work with versions. The ability to version MDS models enables functionality such as what if scenarios, testing and others.Lessons Understanding Versions Web Interface Version Statuses Copying a Version Locking. Unlocking and Committing Versions Version Flags Ancestry Validating Versions Lab : VERSION MANAGEMENT Versions After completing this module, students will be able to: Create and configure versions. Module 7: BUSINESS RULESThe goal of this module is to gain an understanding of the business rules interface and how to implement business rules into your model. It is important that you know the interface requires some getting used to and is perhaps not the friendliest interface that you have ever used. Pay particular attention to how often you need to save your business rules.Lessons Business Rules Overview How to Create a Business Rule Conditions and Actions Publish a Business Rule Validation Issues Lab : BUSINESS RULES Business Rules Interface Create a Business Rule Populate a Value Based on Another Value Validation Issues After completing this module, students will be able to: Navigate the business rules interface. Create a business rule. Populate a value based on another value. Explore and fix validation issues. Module 8: MDS SECURITYThe goal this module is to gain an understanding of the security in MDS. The security in some ways follows other security paradigms that you may be used to. Such as the concept of read, write, and deny permissions. However, the concepts such as granting permission to the model object for all groups of users so they can view the model may be foreign to you. Also make sure that you understand that MDS does not control security; that it is controlled by active directory. It is within active directory that the passwords and usernames are stored along with the user groups.Lessons Master Data Services Security Overview Users and Groups Administrators Permission Levels Best Practices Lab : MDS SECURITY Setting up Security in MDS After completing this module, students will be able to: Set up security in MDS. Module 9: PUBLISHING DATAThe objective of this module is that you understand the types of subscription views that are available.Lessons Subscription Views Formats How Subscribing Systems Can Extract Data Creating Views Lab : PUBLISHING DATA Creating a Subscription View After completing this module, students will be able to: Create and configure a subscription view. Module 10: EXCEL ADDINThe objective of this module is to help you understand the Excel Master Data Services Addin, which is the best feature that was added with the SQL 2012 release.Lessons Creating Connections Publishing Data Filtering Data Saving a Query Create an Entity From Data Settings Lab : EXCEL ADDIN Creating a Connection Publishing Data Filtering Data Saving a Query Create an Entity From Data After completing this module, students will be able to: Create a connection to an MDS database using Excel. Publish data to an MDS database using Excel. Filter data using Excel. Save a query to Excel. Create an entity from data in Excel. Module 11: DATA QUALITY SERVICESThe objective of this module is for you to understand Data Quality Services and how to use it in conjunction with Master Data Services.Lessons Architecture Data Quality Cleansing Microsoft Data Quality Solution Lab : DATA QUALITY SERVICES Create a New Knowledge Base DQS Quality Cleansing Project After completing this module, students will be able to: Create a new knowledge base. Create a DQS Quality Cleansing Project.