The document outlines the components and capabilities of modern business intelligence powered by Microsoft Azure, emphasizing the integration of agile and enterprise BI through tools like Power BI and Azure Data Factory. It highlights the importance of data warehousing for structured data and the use of data lakes for unstructured data, facilitating advanced analytics and real-time processing. Additionally, it discusses the various modules within the Microsoft Cortana Analytics and Integration suites that support BI solutions, including machine learning and hybrid connectivity features.

1. Modern Business
Intelligence
Powered by Microsoft Azure

2. 3 modes of BI working together
Agile Business Intelligence
Find reports and insights which give value
Fail Fast for reports that done deliver value
Query line of business systems
Business User driven
Find requirements for Enterprise BI
Enterprise Business Intelligence
Data Warehousing approach
Cloud based for elastic scale
Structured data
Extract Transform Load Data Warehouse
Reliable and enterprise ready
Heavy compute capabilities
Big Data
Unstructured Data
Large volumes
Stream based or batch based
Map Reduce
Data Lakes

3. Microsoft Cortana Suite

4. Applied Architecture

5. Agile Business Intelligence
Power BI Gateway
Line of Business
Applications
SaaS Applications
Power BI
Power BI Desktop
Report Viewer views
dashboards via
Browser or mobile
Report Author creates reports
then publishes to Power BI
Power BI uses Gateway to
access on premise data
sources
Power BI has content packs
for many SaaS applications
Other Azure
Data Sources

6. Enterprise Business Intelligence
Line of Business
Applications
Power BI
Machine Learning
Data Factory
SQL Data Warehouse
Data Catalog
Hybrid Connectivity
SQL DW used for
storage
Data Factory pulls data from
line of business and cloud
applications
Data Catalog used to manage
data dictionary
A number of options for
advanced analytics
Power BI for
visualization
SaaS Applications
Azure Search

7. Big Data – ETL Channel
Line of Business
Applications
Power BI
Machine
Learning
Data Factory
SQL Data Warehouse
Hybrid Connectivity
Data Lake and Azure
Storage for
unstructured data
store
Data Factory pulls data from
line of business and cloud
applications
A number of options for
advanced analytics
Power BI for
visualization
SaaS Applications
Azure Search
Azure Storage
Data Lake Analytics
HDInsight
Data Lake Storage

8. Big Data – Real Time Events Channel
Power BI
Machine
Learning
Data Lake Storage
A number of options for
advanced analytics
Power BI for
visualization
Azure Search
Azure Storage
Data Lake Analytics
Event HubIoT Hub
Stream Analytics
VDevices, things, etc
Applications
Eventing and Streaming
based Channel
Data Lake and Azure
Storage for
unstructured data
store
Data Factory
HDInsight
Data Lake Storage

9. How do I get the Data?
Data Factory provides the lift and shift ETL to
support modern ETL requirementsAzure Data Factory
Logic Apps &
BizTalk
Event Hubs &
IoT Hub
Power BI
Enterprise Gateway
Azure Service Bus Relay provides a bridge under
the hood to allow Power BI Gateway to access
on premise data sources
Logic Apps provides light weight api orchestration
Which can feed BI
BizTalk provides heavy weight EAI for more
complex scenarios
IoT Hub and Event Hub provide device and
stream based approaches which can be used
to feed telemetry to a BI platform

10. Technology Summary
Power BI
Machine Learning
Data Factory
Data Lake Storage
Azure Search Azure Storage
Data Lake Analytics Event Hub
IoT HubStream Analytics
HDInsight
BizTalk Server
Logic Apps
Modules in Microsoft Cortana Analytics Suite
Modules in Microsoft Integration Suite