Microsoft Cortana Intelligence Suite Analytics Workshop

Microsoft Cortana Intelligence Suite Analytics Workshop

In this big data project, we'll work through a real-world scenario using the Cortana Intelligence Suite tools, including the Microsoft Azure Portal, PowerShell, and Visual Studio.

Videos

Each project comes with 2-5 hours of micro-videos explaining the solution.

Code & Dataset

Get access to 50+ solved projects with iPython notebooks and datasets.

Project Experience

Add project experience to your Linkedin/Github profiles.

What will you learn

The Data Science Process
CIS Platform components
Administration concepts
Tools installation and overview
PowerShell Interface
Cortana Intelligence Process
Cortana Intelligence Suite Platform
Azure Data Catalog
Azure Data Factory
HDInsight
Azure Platform as a Services Capabilities
Azure Portal
Azure SQL Data Warehouse
Azure SQL Data Warehouse Table Geometries
Azure Storage
ADC Interface
Visual Studio Interface (and RTVS)
Massively Parallel Processing
Colunmstore Indexing
PolyBase and Windows Azure Blob Storage
SQL Server Management Studio
Techniques for discovery

Project Description

Welcome to the Cortana Intelligence Suite workshop – Azure SQL Data Warehouse Focus delivered by your Microsoft Data Science team. In this big data project, you’ll cover a series of modules that guide you from understanding an analytics workload, the Cortana Intelligence Suite Process, Massive Parallel Processing and loading a data warehouse using various tools. You’ll also learn how to work through a real-world scenario using the Cortana Intelligence Suite tools, including the Microsoft Azure Portal, PowerShell, and Visual Studio, among others.

Modules:

  1. CIS overview and how Azure SQL Data Warehouse fits into CIS
  2. Introduction to Azure SQL Data Warehouse
  3. Working with Tables, Indexes, and Statistics
  4. Loading data into Azure SQL Data Warehouse
  5. Managing Security and Administration.
  6. Workshop recap (Extended Class)

Skills taught:

  1. Understand the CIS Process (General level), Understand CIS Components (General Level), set up and configure the development environment
  2. Understand how to create an Azure SQL Data Warehouse using various tools.
  3. Understand SQL Data Warehouse and its constructs, Implement loading activities into Azure SQL Data Warehouse.
  4. Manage the security and administration of an Azure SQL Data Warehouse

Similar Projects

Learn to write a Hadoop Hive Program for real-time querying.

In this hive project , we will build a Hive data warehouse from a raw dataset stored in HDFS and present the data in a relational structure so that querying the data will be natural.

In this Apache Spark SQL project, we will go through provisioning data for retrieval using Spark SQL.

Curriculum For This Mini Project

12-Nov-2016
03h 55m