Big Data is driving transformative changes

Traditional Big Data

Relational data with highly modeled schema

All data with schema agility

Specialized HW Commodity HW

Data

characteristics

Costs

Culture Operational reporting Focus on rear-view analysis

Experimentation leading to intelligent action With machine learning, graph, a/b testing

However, there are challenges to Big Data…

Obtaining skills

and capabilities Determining how

to get value

Integrating with

existing IT investments

*Gartner: Survey Analysis – Hadoop Adoption Drivers and Challenges (Stamford, CT.: Gartner, 2015)

But, Microsoft has done it before We needed to better leverage data and analytics to do more experimentation

So we:

•  Designed a data lake for everyone to put their data into

•  Built tools approachable by any developer

•  Created machine learning tools for collaborating across large experiment models

Result:

•  Across Microsoft, ten thousand developers doing experimentation leading to better insights

•  Leading to growth in our Microsoft businesses:

•  Office productivity revenue (45%YoY)*

•  Intelligent Cloud (100% YoY)*

•  Bing search share doubles

2010 2011 2012 2013 2014 2015

Growth of data @ Microsoft

Windows

SMSG

Live

Bing

CRM/Dynamics

Xbox Live

Office365

Malware Protection Microsoft Stores

Commerce Risk

Skype

LCA

Exchange

Yammer

Pe

tab

yte

s E

xa

byte

s

* Microsoft. FY16 Q4 Results, URL: http://www.microsoft.com/en-us/Investor/earnings/FY-2016-Q4/press-release-webcast

Microsoft is now taking everything we’ve learned on this journey and bringing it to our customers

Technology. Cost. Culture.

Big Data a cornerstone of Cortana Intelligence Suite

Action

People

Automated Systems

Apps

Web

Mobile

Bots

Intelligence

Dashboards & Visualizations

Cortana

Bot

Framework

Cognitive

Services

Power BI

Information Management

Event Hubs

Data Catalog

Data Factory

Machine Learning and Analytics

HDInsight

(Hadoop and

Spark)

Stream Analytics

Intelligence

Data Lake

Analytics

Machine

Learning

Big Data Stores

SQL Data

Warehouse

Data Lake Store

Data Sources

Apps

Sensors and devices

Data

Introducing

Azure HDInsight

Hadoop and Spark as a Service on Azure

Fully-managed Hadoop and Spark for the cloud

100% Open Source Hortonworks

data platform

Developed in cooperation with our partner

Hortonworks

Managed, monitored and supported

by Microsoft with the industry’s best SLA

Why Hadoop in the Cloud?

No upfront hardware costs

Unlimited Scale

Pay for What You Need

Deployed in minutes

The Business Value and TCO of HDInsight

•  418% 5-year ROI

•  Four month payback period

•  63% 5-year lower TCO than on-premises

•  66% staff efficiencies than on-premises

*IDC study “The Business Value and TCO Advantage of Apache Hadoop in the Cloud with Microsoft Azure HDInsight

Recognized by top analysts

Forrester Wave for Big Data Hadoop Cloud Solutions

•  Named industry leader by Forrester with the most comprehensive, scalable, and integrated platforms*

•  Recognized for its cloud-first strategy that is paying off*

*The Forrester WaveTM: Big Data Hadoop Cloud Solutions, Q2 2016.

Get it at //aka.ms/forresterwave 

Azure HDInsight

Runs in the most datacenters worldwide

Azure doubling compute

and storage every 6 months

*Applies to HDInsight only

Central US Iowa

West US California

East US Virginia

North Central US Illinois

South Central US Texas

Brazil South Sao Paulo State

West Europe Netherlands

China North* Beijing

China South* Shanghai

Japan East Tokyo, Saitama

Japan West Osaka

East Asia Hong Kong

SE Asia Singapore

Australia South East Victoria

Australia East New South Wales

India Central Pune

North Europe Ireland

East US 2 Virginia

Highest Availability Guarantee in Industry

Deep 4 year partnership

•  Most committers

•  In turn, yields ability to:

Backed by Industry Leading Hadoop Engagement

With the most Apache Projects in the Cloud

Azure HDInsight

Machine Learning R

Azure HDInsight

Easy for Administrators

Easy for Developers

Easy for Data Scientists

R Server for HDInsight

Easy for Business Analysts

Azure HDInsight

Scenarios For Deploying Hadoop As Hybrid

Azure HDInsight

Hadoop and Spark as a Service on Azure

Fully-managed Hadoop and Spark for the cloud

100% Open Source Hortonworks

data platform

Clusters up and running in minutes

Managed, monitored and supported by Microsoft with the industry’s best SLA

Familiar BI tools for analysis, or open

source notebooks for interactive data

science

63% lower TCO than deploy your own

Hadoop on-premises* *IDC study “The Business Value and TCO Advantage of Apache Hadoop in the Cloud with Microsoft Azure HDInsight”

Learn More

http://azure.microsoft.com/en-us/pricing/free-trial/

http://azure.microsoft.com/en-us/documentation/services/hdinsight/

http://azure.microsoft.com/en-us/documentation/articles/hdinsight-learn-map/

http://aka.ms/hditraining

http://channel9.msdn.com/Shows/Data-Exposed