2013 PARTNER CONNECT

Transcription

1 2013 PARTNER CONNECT

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3 Cloud OS: Data Insights Plays Driving the Modern Data Driving Broad BI Adoption Warehouse

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5 Market is here Chasm to Mainstream Innovators Early Adopters Early Majority Late Majority Laggards DIY Innovators Enterprise Proven Solutions

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7 Active Directory System Center Source: Big Data & CIO Adoption Quantitative Research, Sept 2012, Microsoft

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10 SET UP: Imagine you had a one hour meeting set with a customer to talk about Big Data and the modern data warehouse. You want to frame for the customer a broad overview of Microsoft s capabilities in just 15 mins and leave 45 mins to explore with the customer their challenges You want to use this time to help you and the customer understand where you can help them and developed a sale 2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION

11 Whiteboard 11

12 Whiteboard E T L EDW 12

13 Whiteboard APPS Biz process ERP, CRM E T L EDW 13

14 Whiteboard APPS Biz process ERP, CRM E T L EDW Known, known 14

15 Whiteboard APPS Biz process ERP, CRM E T L EDW Known, known Business 15

16 Whiteboard Structured: e.g.mm/dd/yyyy APPS Biz process ERP, CRM E T L EDW Known, known Business 16

17 Whiteboard DATA TYPES DATA SOURCES INFRASTRUCTURE TOOLS USERS Structured: e.g.mm/dd/yyyy APPS Biz process ERP, CRM E T L EDW Known, known Business 17

18 Whiteboard DATA TYPES DATA SOURCES INFRASTRUCTURE TOOLS USERS Structured: e.g.mm/dd/yyyy APPS Biz process ERP, CRM E T L EDW Known, known Business Semi-structured: e.g. web logs, RFID, the internet of things 18

19 Whiteboard DATA TYPES DATA SOURCES INFRASTRUCTURE TOOLS USERS Structured: e.g.mm/dd/yyyy APPS Biz process ERP, CRM E T L EDW Known, known Business Semi-structured: e.g. web logs, RFID, the internet of things Machines The Internet of things Social Media Web Logs 19

20 Whiteboard DATA TYPES DATA SOURCES INFRASTRUCTURE TOOLS USERS Structured: e.g.mm/dd/yyyy APPS Biz process ERP, CRM E T L EDW Known, known Business Semi-structured: e.g. web logs, RFID, the internet of things Machines The Internet of things Social Media Web Logs Big Data Hadoop 20

21 Whiteboard DATA TYPES DATA SOURCES INFRASTRUCTURE TOOLS USERS Structured: e.g.mm/dd/yyyy APPS Biz process ERP, CRM E T L EDW Known, known Business Semi-structured: e.g. web logs, RFID, the internet of things Machines Machines The Internet And other of things Devices Social Media Web Logs Big Data Hadoop Pig R Map Reduce Algorithms Machine learning

22 Whiteboard DATA TYPES DATA SOURCES INFRASTRUCTURE TOOLS USERS Structured: e.g.mm/dd/yyyy APPS Biz process ERP, CRM E T L EDW Known, known Business Semi-structured: e.g. web logs, RFID, the internet of things Machines The Internet of things Social Media Web Logs Big Data Hadoop Pig R Map Reduce Algorithms Machine learning Data Scientists Quants 22

23 Whiteboard DATA TYPES DATA SOURCES INFRASTRUCTURE TOOLS USERS Structured: e.g.mm/dd/yyyy APPS Biz process ERP, CRM E T L EDW Known, known Business Semi-structured: e.g. web logs, RFID, the internet of things Machines The Internet of things Social Media Web Logs Big Data Hadoop unknown, unknown Data Scientists Quants 23

24 Whiteboard The Modern Data Warehouse DATA TYPES DATA SOURCES INFRASTRUCTURE TOOLS USERS Structured: e.g.mm/dd/yyyy APPS Biz process ERP, CRM E T L EDW Known, known Business Semi-structured: e.g. web logs, RFID, the internet of things Machines The Internet of things Social Media Web Logs Big Data Hadoop unknown, unknown Data Scientists Quants 24

25 Whiteboard The Modern Data Warehouse DATA TYPES DATA SOURCES INFRASTRUCTURE TOOLS USERS Structured: e.g.mm/dd/yyyy Semi-structured: e.g. web logs, RFID, the internet of things APPS Biz process ERP, CRM Machines The Internet of things Social Media Web Logs E T L EDW PDW HDInsights Big Data Hadoop HDP on Windows P O L Y B A S E Power BI Known, known unknown, unknown Business Data Scientists Quants

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28 Big Data Deployment Scenarios: Hadoop & PDW

29 Data Analytics is needed everywhere Intelligence Gathering IT infrastructure & Web App optimization Legal discovery and document archiving Social network analysis Traffic flow optimization Recommendation engines Churn analysis Location-based tracking & services Oil & Gas exploration Weather forecasting for business planning Healthcare outcomes Personalized Insurance Fraud detection Life sciences research Advertising analysis Equipment monitoring Pricing Analysis Smart meter monitoring

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