data platform overview

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Evolve your data platform

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Page 1: Data Platform Overview

Evolve your data platform

Page 2: Data Platform Overview

Today’s businesses

must build a data

strategy to harness

the power of data

The explosion of data sources...

…drives an explosion of data

…which drives businesses to learn more

2013-2020 CAGR = 41%

25B

4.0B1.3B

2010 2013 2020

Source: Forecast: Internet of Things, Endpoints and Associated Services, Worldwide, 2014. Gartner. Oct 20 2014

Source: IDC “Digital Universe”, Dec. 2012

Page 3: Data Platform Overview

Companies that embrace the data culture

outperform their competitors

Source: IDC, Capturing the 1.6 Trillion Data Dividend, May 2014

Diverse data sources

New analytics

Insights to more people

Speed

Page 4: Data Platform Overview

• Leverage real-time and historical data from

medical devices, electronic health records

• Adjust treatment plans in real time

using predictive analytics

• Access dashboards and monitor

patients from mobile apps

“Machine learning gives us an opportunity to continuously improve

our care plans based on a deep understanding of all that data.”

Dr. Robert Greene

Dartmouth-Hitchcock Medical Center

Executive Vice President

-

Predict outcomes and

adjust treatment plans in

real time by using current

and historical data.

Page 5: Data Platform Overview

Structured data from

LOB apps is transacted

and locally managed.

Structured data

managed and

analyzed centrally

informs business.

Data capture is

comprehensive and

scalable and informs

business decisions.

Data transforms

business to drive

outcomes. Any data,

any source, anywhere

at scale.

The journey to a modern data culture

Reactive

Informative

Predictive

Transformative

Page 6: Data Platform Overview

OLTP Apps Analytics Cubes & Services BI ReportsData Warehouse

Reactive data architecture

Finance

CRM

ERP

Data Mart or

Operational Data Store

Big Data Storage Hive Query

Page 7: Data Platform Overview

OLTP Apps Big Data & Analytics Comprehensive BI

Streaming

IoT

Social

Modern Data Warehouse

Transformative data architecture

Big Data Storage

NoSQL

Data Lake

CRM

ERP

Business Analyst

BI Users

IT Pro

Data Mart or

Operational Data Store

+ other data sources

LOB

Finance

Web

Page 8: Data Platform Overview

MobileReports

Natural

language queryDashboardsApplications

StreamingRelational

Internal

& external

Non-relational NoSQL

Orchestration

Machine

learningModeling

Information

management

Complex event

processing

Data

The Microsoft data platform

Page 9: Data Platform Overview

StreamingRelationalInternal

& external

Non-

relational NoSQL

Microsoft AzureSQL Server

• StreamInsight

• PolyBase

• Azure SQL Data Warehouse

• Azure Data Lake

• Azure Document DB

• Event Hubs

• Azure Marketplace

• Up to 30x In-memory OLTP performance

• Up to 100x ColumnStore performance

• AlwaysOn Availability

• Stretch

• SQL Database Premium

• 99.99% Microsoft-backed SLA at the database level

• Transparent Data Encryption

• Always Encrypted

• Row-level security

• Azure SQL Database is verified for industry standards

• Azure IEC 27018 cloud privacy

• Compliance auditing

Enable security

& compliance

Maximize performance

& availability

Manage big data

& relational data

Page 10: Data Platform Overview

Orchestration

Machine

learningModelingEIMComplex event

processing

Microsoft AzureSQL Server

• R Integration

• Data Mining

• Azure Machine Learning

• ColumnStore

• APS MPP

• PolyBase

• Analysis Services

• Azure SQL Data Warehouse

• HDInsight

• Spark & Storm for HDInsight

• Azure Stream Analytics

• Integration Services

• Data Quality Services

• Master Data Management

• Azure Data Factory

Manage data quality

Maximize scale

& performance

Predict what’s next

Page 11: Data Platform Overview

Reports

Natural

language queryDashboardsApplications

Power BISQL Server

• Power Query • Live query to Analysis Services

• Support for streaming data

• Scheduled data refresh

• Secure reports

• Datazen

• Online & offline support

• Collaborate

• Native apps for phone or tablet

• Alerts

• Share and collaborate

• Analyze in Excel

• Full integration with SharePoint

• Prep and model data through Excel

• Prebuilt content packs for Salesforce, Marketo, QuickBooks and more

• Natural language query

Connect more

people to data

Access data

on any device

Faster insights

on any data

Mobile

Page 12: Data Platform Overview

Magic Quadrant for Data Warehouse

Database Management Solutions3

A leader for the fourth consecutive year

Magic Quadrant for Business

Intelligence and Analytics Platforms2

A leader 8 years running

Magic Quadrant for Operational

Database Management Systems1

Placed furthest for completeness of vision

[1] Gartner “Magic Quadrant for Operational Database Management Systems,” by Donald Feinberg , Merv Adrian , Nick Heudecker, October 2014[2] [*Gartner “Magic Quadrant for Business Intelligence and Analytics Platforms,” by Rita Sallam and Josh Parenteau, February23, 2015[3] Gartner “Magic Quadrant for Data Warehouse and Data Management Solutions for Analytics,” by Mark Beyer and Roxane Edjlali, February 12, 2015

This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Microsoft. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied,with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

Leader in key magic quadrants

Page 13: Data Platform Overview

SQL Server 2005

SQL Server 2008

SQL Server 2008 R2

SQL Server 2012

SQL Server 2014

SQL Server 2016

Extended support for SQL Server 2005 ends on April 12, 2016

Performance &

productivityMission critical Self-service BI Cloud-ready

Mission critical &

cloud performance

Advanced analytics

& rich visualizations

The evolution of SQL Server

Page 14: Data Platform Overview

Data-centric businesses are partnering with Microsoft

Page 15: Data Platform Overview

Get started today

Walk through cloud and data center

scenarios with an immersive experience

Get actionable recommendations from

a SQL Server modernization assessment

Delve deep into the benefits of SQL Server

2016 with a personalized briefing

Page 16: Data Platform Overview

Finance

ERP

CRM

Data Mart or

Operational Data Store

Streaming

IoT

Social

LOB

Big Data Storage

NoSQL

Data Lake

Business Analyst

BI Users

IT Pro

Web

Comprehensive BI

Transformative data architecture

OLTP Apps Big Data & AnalyticsModern Data Warehouse+ other data sources

SQL Server 2016 with In-Memory OLTP

Azure SQL Database

Azure IoT Services

Azure Marketplace

SQL Server 2016

Azure SQL Data Warehouse

Azure Data Lake

Azure HDInsight

Azure Document DB

SQL Server 2016

• Integration Services

• Data Quality Management

• Master Data Management

R Integration

Azure Machine Learning

Data Mining

Azure Stream Analytics

Power BI

Azure Stream Analytics

Spark & Storm for HDInsight

Page 17: Data Platform Overview

Data Platform leaps in innovation2012

SQL Server 2012

2013

HDInsight

“Our industry does not respect

tradition – it only respects innovation.” – Satya Nadella

2015

Azure

Machine Learning

Azure

Document DB

HDInsight on

Linux, HBase, Storm

Azure SQL DB with

In-memory OLTP

Cortana Analytics

Preview

IoT Services

2014

SQL Server 2014

APS

Azure SQL Database

Power BI

Page 18: Data Platform Overview

Avoid business interruptions—after the end of support,

there will be no access to critical security updates.

Maintaining legacy servers, firewalls, intrusion systems,

etc. gets expensive quickly.

As support ends, your organization will likely fail

to meet standards.

Extended

support for

SQL Server 2005

ends on

April 12, 2016

Page 19: Data Platform Overview

Become a digital business with the Internet of Things

Connect people,

processes and assets

Analyze data for

operational insights

Improve efficiency and

discover new opportunities

Page 20: Data Platform Overview

Increasing efficiency in

oil and gas with the

Internet of Things

Investing in energy with

fast, predictive,

cloud-based intelligence

Innovating to grow a

laundry business with

cloud analytics

The Microsoft data platform in action