Building BI Reporting suite with SQL Server Reporting Services (SSRS)
Pairview Training
Summary
- Certificate of completion - Free
- Tutor is available to students
Location & dates
25 Canada Square
East London
London
E145LQ
United Kingdom
Overview
This course provides the knowledge and skills of carrying out tasks to meet demanding requirements using SQL Server Reporting Services. Also, you will learn how to provide insights from data and develop business reporting skills with enhanced visualisation features.
Description
- Module 1: Building and Modifying an OLAP Cube
Classifying measures and their suitable granularities
Adding new measure groups and creating custom measures - Module 2: Creating Dimensions
Carrying out a Star and Snowflake Schema
Classifying role-play dimensions
Adding dimension attributes and properties - Module 3: Hierarchies
Building natural hierarchies and creating attribute relationships
Discretising attribute values with the Clusters and Equal Areas algorithms - Module 4: Key Attributes
Defining parent and key attributes
Generating level captions with Naming Template - Module 5: Storing Dimension Data in Fact Tables
Building a degenerate dimension
Configuring fact relationships - Module 5: Saving Space with Referenced Dimension Relationships
Identifying candidates for referenced relationships
Utilising the Dimension Usage tab to configure referenced relationships - Module 6: Including Dimensions with many-to-many Relationships
Implementing intermediate measure groups and dimensions
Reporting on many-to-many dimensions without double counting - Module 7: Implementing a Tabular Model Database
Providing users with analytics via x Velocity and Power Pivot
Comparing DAX with MDX
Mapping out the role of SharePoint - Module 8: Managing Cubes
Choosing between ROLAP, MOLAP and HOLAP
Partitioning cubes for improved performance
Designing Aggregations with Aggregation Design Wizard
Leveraging the Usage-Based Optimisation Wizard - Module 9: Automating Processing and Deployment
Exploiting XMLA scripts and SSIS
Refreshing cubes with Proactive Caching - Module 10: Retrieving Data with MDX
Defining tuples, sets and calculated members
Querying cubes with MDX - Module 11: Monitoring Business Performance with KPI’s
Building goal, status and trend expressions
Using Parallel Period to compare past time periods
Simplifying KPI definitions using KPI Value and KPI Goal - Module 12: Enhancing Cubes with MDX
o Adding runtime calculations to the cube
o Adding drill-through and URL actions - Module 13: Determining the Correct Model
Identifying business tasks for data mining
Training and testing data-mining algorithms
Comparing algorithms with the accuracy chart - Module 14: Performing Real-World Predictions
Classifying with Decision Trees, Neural Network and Naive Bayes algorithms
Predicting with the Time Series algorithm
Questions and answers
Certificates
Certificate of completion
Digital certificate - Included
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Legal information
This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.