Big Data Analytics. Yossi Elkayam Sr. BI Architect Microsoft Services

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1 Big Data Analytics Yossi Elkayam Sr. BI Architect Microsoft Services

2 Session Objectives And Takeaways 1. Lets talk about Big Data! 2. Enable you to find opportunities for Big Data & Real-time analytics and discover new insights. 3. Improve market/compete reaction by using Big Data processes.

3 MS BI Momentum

4 Data is Big? Is it the real world issue?

5 What is Big Data?

6 What is Big Data?

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8 BI Semantic Model Power View Third-Party applications Reporting Services Excel Power Pivot SharePoint Insights DAX MDX BI Semantic Model Project Type PowerPivot Workbook Tabular Project Multidimensional Project Design Type Tabular Tabular Multidimensional Development Tool Excel 2010 SQL Server Data Tools SQL Server Data Tools Business Logic DAX DAX MDX Data Access Cache Passthrough In-Memory N/A In-Memory DirectQuery MOLAP ROLAP Deployment A Power Pivot workbook can be restored to a Tabular instance, or imported to create a Tabular Project SharePoint Library / Analysis Services PowerPivot Analysis Services Tabular Analysis Services Multidimensional Relational Databases Files OData Feeds Cloud Services HDInsight (Big Data) Deployed BI Semantic Model

9 Big Data Reality Framework

10 So, who am I?

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12 How to prepare to a Big Data Project? Developers special to cloud and big data code engines (.Net, Python, JavaScript etc ). Business Analysts, BI Developers, Information workers And what about analysts/iw? 30% 70% 1 2

13 Demo Selection גרסה שנה שם המהדורה שם קוד - SQL Server SQL Server SQLNT SQL Server SQL95 SQL Server Hydra SQL Server Sphinx SQL Server Palato mania Shiloh SQL Server 7.0 OLAP Tools SQL Server Liberty SQL Server bit Edition Yukon Katmai CloudDatabase SQL Server 2005 SQL Server 2008 SQL Azure DB Kilimanjaro (aka KJ) Denali Hekaton SQL Server 2008 R2 SQL Server 2012 SQL Server

14 Demo Business Case 1. Track and follow what happen now and today about our top 5 products. 2. React fast to market changes using social networks. 3. Finally, using analytics to understand better the trends.

15 Ingredients Preparation 1 StreamInsight Service 1 Client as Listener (.Net & HTML 5.0) 1 Twitter account + Dev Account 1 TweetFeel service 2 HDInsight (Hadoop on Azure Cluster) 1 TB of Azure BLOB storage 50 GB of Azure SQL DB 5-10 search keywords 1 HIVE ODBC 1 Excel & PowerPivot Model 2-3 Power View Reports 1 Power BI Site + 1 BI Search Service (Q&A)

16 Can we see the Demo please

17 Conceptual Design

18 Share & Collaborate with Power BI for Office 365 Natural Language Querying Using Q&A Natural Language Questions Ask questions of your data in natural language

19 Thank You! Download SQL Server 2014 Call to action Big Data Twitter Demo 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.