1.
Fully managed service to support orchestration of data movement
and processing
Connect to relational or non-relational data that is on-premises or
in the cloud
Single pane of glass to monitor and manage data processing
pipelines.
Publish to Power BI
Compose and orchestrate data services at scale
Microsoft Confidential – Under Strict NDA
C#
MapReduce
Trusted data
BI & analytics
Hive
Pig
Stored Procedures
Azure Machine Learning

2.
Elastic scale and performance
• Scales to petabytes of data
• Massively Parallel Processing
• Instant-on compute scales in seconds
• Query Relational / Non-Relational
Powered by the cloud
• Get started in minutes
• Integrated with Azure ML, PowerBI & ADF
Market Leading Price & Performance
• Simple billing compute & storage
• Pay for what you need, when you need it with
dynamic pause
Elastic cloud data warehouse with proven SQL Server capabilities

3.
Store any data in its native format without prior
transformation
Hadoop Distributed File System (HDFS) For The
Cloud
Enterprise grade security, availability and durability
Optimized for massive throughput - No limits on
file and account sizes
A hyper scale repository for big data analytics workloads
HDInsight

4.
{ } schema free
query
Relational and hierarchical query of application defined JSON data. Support for SQL queries with
transforms, projections and inline evaluation of user defined JavaScript functions (UDFs). Automatic and
consistent indexing of all properties.
JavaScript as a
modern T-SQL
Transactional execution of application defined stored procedures and triggers directly against database
collections. Native JavaScript support eliminating the impedance mismatch (ORM) between application
and database schema.
tunable
consistency
Well defined consistency levels to achieve optimal tradeoff between consistency and performance. Four
distinct consistency levels for queries and read – Strong, Bounded-Staleness, Session and Eventual.
Granular control over consistency, availability and latency
fully
managed
Simple to provision and access databases without managing VM or cluster infrastructure. Operated with
high availability and automatically backed up to prevent against regional failures.

5.
ML Algorithms are best of breed and embrace OSS
• MS + R + Python + BYOA
ML Studio for productive development
• Faster experiments results in faster improvements
• Visual Workflows & ML Experiments at Cloud Scale
ML Operationalization to remove deployment friction
• Build entire ML Apps & Deploy as Cloud APIs
ML Applications Marketplace
• Provide ML applications like apps in an ‘app store’
• Publish/consume APIs in a 2 sided market
Help organizations eliminate undifferentiated heavy lifting
Powerful predictive analytics in Azure
Azure Machine Learning

6.
Process real-time data in Azure using a simple SQL language
Consumes millions of real-time events from Event Hub collected from
devices, sensors, infrastructure, and applications
Performs time-sensitive analysis using SQL-like language against
multiple real-time streams and reference data
Outputs to persistent stores, dashboards or back to devices
Point of
Service Devices
Self Checkout
Stations
Kiosks
Smart
Phones
Slates/
Tablets
PCs/
Laptops
Servers
Digital
Signs
Diagnostic
EquipmentRemote Medical
Monitors
Logic
Controllers
Specialized
DevicesThin
Clients
Handhelds
Security
POS
Terminals
Automation
Devices
Vending
Machines
Kinect
ATM

7.
Provides a real-time view of your business
operations
Direct connections to on-premise data supporting
Hybrid scenarios
Native iOS, Android and Windows mobile apps
“Out of the box” reports for a growing list of SaaS
services empowering the end users
Natively integrated with Microsoft applications,
services and data platform
A “single pane of glass” to view of the operation of your business
.
.

8.
Advanced algorithms for vision and speech
Perceptual Intelligence
Face APIs
Speech APIs
Computer Vision APIs
Language Understanding Intelligent Srevice (LUIS)