big data is driving transformative changes...big data is driving transformative changes traditional...
TRANSCRIPT
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