Friday, April 19, 2019

G7 CR Tech Hosts a 2- Day Free Workshop on Architecture and Design on PowerBI with Microsoft Azure Analysis Services


G7 CR Technologies, a leading global information technology, consulting and cloud services company, has organized a full 2-day free workshop on Architecture and Design on PowerBI with Microsoft Azure Analysis services on 26th & 27th April 2019 at G7 CR office, Bangalore.

This Two-day instructor-led Workshop provides delegates a clear and comprehensive explanation of the concepts and best techniques for deploying OLAP (Online analytical processing). The workshop will offer IT professionals a thorough coverage of logical issues such as Design for Data Marts, dimensional hierarchies, as well as physical issues of data storage, access, and calculation. In addition, the session will provide many practical methods and formulae, along with a quick preview of Predictive analysis and Data Mining.

The course consists of 3 modules:

Module 1: Introduction

The BI Architecture
An Architectural Framework and Approach to BI Implementation
Data Marts, Data Warehouse and OLAP
The Need for Data Modeling
Dimensional Data Modeling
Business Cases and Data Modelling Techniques.
Thinking Clearly in N Dimensions
Module 2: The Core of BI and OLAP Solutions

The OLAP Flavors and it’s Pro’s and Con’s
It’s a Jungle Out There – vendors and Products
The Core of Multidimensional Technology
The Internal Structure of a Dimension
Hypercubes or Semantic Spaces
Analytic Visualization
Physical Design of Applications
Practical Steps for Designing and Implementing BI Systems
Product Language Comparisons

Module 3: Success Guidelines and Best Practices

Issues and Resolution Business and Technical
Multidimensional Guidelines
Toward a Theoretically Grounded Model for BI and Its Connection to the Relational
Model and Canonical Logic
Codd's 18 Features
Best Practices For one of the leading SSAS Products

This course will be beneficial for Designers, Managers, and Owners of a BI System who need to get about the business of Analyzing their Information from the heaps of data. And it will be an advantage for those who are already familiar with working knowledge of SQL, experience with database design, understand Data Warehousing Concepts.

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