Price
$5,995.00

eNROLL THIS COURSE
70-767 / Implementing a SQL Data Warehouse

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

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.

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

Module 4: Columnstore Indexes

This module introduces Columnstore Indexes.Lessons

  • Introduction to Columnstore Indexes
  • Creating Columnstore Indexes
  • Working with Columnstore Indexes

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

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

 

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.

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

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

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

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

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

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

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
70-768 / Developing SQL Data Modes

Module 1: Introduction to Business Intelligence and Data Modeling

This module introduces key BI concepts and the Microsoft BI product suite.Lessons

  • Introduction to Business Intelligence
  • The Microsoft business intelligence platform

Module 2: Creating Multidimensional Databases

This module describes how to create multidimensional databases using SQL Server Analysis Services.Lessons

  • Introduction to Multidimensional Analysis
  • Creating Data Sources and Data Source Views
  • Creating a Cube
  • Overview of Cube Security
  • Configure SSAS
  • Monitoring SSAS

Module 3: Working with Cubes and Dimensions

This module describes how to implement dimensions in a cube.Lessons

  • Configuring Dimensions
  • Defining Attribute Hierarchies
  • Sorting and Grouping Attributes
  • Slowly Changing Dimensions

Module 4: Working with Measures and Measure Groups

This module describes how to implement measures and measure groups in a cube.Lessons

  • Working with Measures
  • Working with Measure Groups

Module 5: Introduction to MDX

This module describes the MDX syntax and how to use MDX.Lessons

  • MDX fundamentals
  • Adding Calculations to a Cube
  • Using MDX to Query a Cube

Module 6: Customizing Cube Functionality

This module describes how to customize a cube.Lessons

  • Introduction to Business Intelligence
  • The Implementing Key Performance Indicators
  • Implementing Actions
  • Implementing Perspectives
  • Implementing Translations

Module 7: Implementing a Tabular Data Model by Using Analysis Services

This module describes how to implement a tabular data model in Power Pivot.Lessons

  • Introduction to Tabular Data Models
  • Creating a Tabular Data Model
  • Using an Analysis Services Tabular Data Model in an Enterprise BI Solution

Module 8: Introduction to Data Analysis Expression (DAX)

This module describes how to use DAX to create measures and calculated columns in a tabular data model.Lessons

  • DAX Fundamentals
  • Using DAX to Create Calculated Columns and Measures in a Tabular Data Model

Module 9: Performing Predictive Analysis with Data Mining

This module describes how to use data mining for predictive analysis.Lessons

  • Overview of Data Mining
  • Creating a Custom Data Mining Solution
  • Validating a Data Mining Model
  • Connecting to and Consuming a Data-Mining Model
  • Using the Data Mining add-in for Excel

Most Recent Courses