1. www.expertpointsolutions.com Unlock your Big Data with Analytics and BI on Office365 Brian Culver ● SharePoint Fest Seattle● BI102 ● August 18-20, 2015

2. About Brian Culver  SharePoint Solutions Architect for Expert Point Solutions  Based in Houston, TX  Author  ProveIT! Analytics  SharePoint 2010 Unleashed  Various White Papers  Speaker and Blogger

3. Session Agenda  What is Big Data?  Understanding Sentiment Analysis  Connecting Big Data and Business Intelligence  Create an Azure HDInsight Cluster  Load data into Blob Storage  Validate data via HDInsight  Hadoop and C#  Visualizing Results via PowerView  Closing comments

4. What is Big Data?  Big Data is about personalization and knowledge. Understanding our customers and relationships to the world. 27% of customers have seen Personalization online 86% of those say Personalization influenced what they purchased to some extent 31% want a more Personalized experience 59% of customers who have experienced Personalization believe it has a noticeable influence on purchasing 58% prefer product recommendations from previous purchases over other forms of personalization

5. What is Big Data?

6.  Big Data is data that is “too” complex, large, and/or fast.  Big Data offers a new set of approaches for analyzing data sets that were not previously accessible which posed challenges across one or more of the “3 V’s”:  Volume - too big and large - Terabytes (and more) of credit card transactions, web usage data, system logs, etc.  Variety - too Complex - Unstructured data such as social media, customer reviews, call center records, etc.  Velocity - too Fast - Sensor data, live web traffic, mobile phone usage, GPS data, etc.

7. Data Complexity: Variety and Velocity Terabytes Gigabytes Megabytes Petabytes What is Big Data?

8. Web app optimization Smart meter monitoring Equipment monitoring Advertising analysis Life sciences research Fraud detection Healthcare outcomes Weather forecasting Natural resource exploration Social network analysis Churn analysis Traffic flow optimization IT infrastructure optimization Legal discovery COMMON BIG DATA CUSTOMER SCENARIOS GAIN COMPETITIVE ADVANTAGE BY MOVING FIRST AND FAST IN YOUR INDUSTRY

9. How Pier 1 uses HDInsight to improve and customize customer experience: http://www.youtube.com/watch?v=fN8Cixcc5yg What is Big Data? How are customers using HDInsight? Azure HDInsight + Machine Learning

10. What is Big Data?  Ambari - Cluster provisioning, management, and monitoring.  Avro (Microsoft.NET Library for Avro) - Data serialization for the Microsoft.NET environment.  Hive - Structured Query Language (SQL)-like querying.  Mahout - Machine learning.  MapReduce and YARN - Distributed processing and resource management.  Oozie - Workflow management.  Pig - Simpler scripting for MapReduce transformations.  Sqoop - Data import and export.  ZooKeeper - Coordination of processes in distributed systems.

11. REDUCE MAP Map + Reduce = Extract, Load + Transform Raw Data Mapper Data Reducer Output What is Big Data?

12. Understanding Sentiment Analysis Sentiment Analysis is the process of understanding the emotional content of text

13. Understanding Sentiment Analysis  For example: Free Form Text I had a fantastic time on holiday at your resort. The service was excellent and awesome. My family really enjoyed themselves. We look forward to next year. One thing though, the pool was closed which sucked. Hotel Feedback

14. Understanding Sentiment Analysis  Take a list of positive and negative words Positive Good Great Fantastic Excellent Friendly Awesome Enjoyed Negative Bad Worse Rubbish Sucked Awful Terrible Bogus

15. Understanding Sentiment Analysis I had a fantastic time on holiday at your resort. The service was excellent and awesome. My family really enjoyed themselves. We look forward to next year. One thing though, the pool was closed which sucked. Hotel Feedback

16. Understanding Sentiment Analysis Positive Fantastic Excellent Awesome Enjoyed Negative Sucked 41

17. Understanding Sentiment Analysis 41-=3 Overall sentiment  Positive

18. Understanding Sentiment Analysis  Sentiment Analysis gets a lot more complicated…

19. Connecting Big Data & Business Intelligence In the following demo, we will cover the following: Create an Azure HDInsight Cluster Create Storage Create HDInsight Cluster Load data into Blob Storage Validate data via HDInsight Hadoop and C# Visualizing Results via Excel (PowerQuery, PowerView, etc.)

20. Connecting Big Data and Business Intelligence Demo

21. Closing Comments  Big Data is about understanding what your customers are saying and thinking.  Anything can be understood and processed but it requires time to analyze and understand.  Any device that creates data can produce valuable information.  Try different things and let the patterns emerge.

22. Questions ? ? ? ?

23. Constructive Feedback Is Appreciated Great information, but would like to have learned more about [Insert Topic] Brian – Your presentation was … Good Demos! Thanks!

24. Thank you! Brian Culver, MCM Twitter: @spbrianculver E-mail: brian.culver@expertpointsolutions.com Blog: http://blog.expertpointsolutions.com/ http://blog.expertpointsolutions.com/ Slides: http://www.slideshare.net/bculver

25. Resources  Twitter Sentiment Processing  http://tweetsentiment.azurewebsites.net/ http://tweetsentiment.azurewebsites.net/  http://azure.microsoft.com/en-us/documentation/articles/hdinsight-hbase-analyze-twitter-sentiment/ http://azure.microsoft.com/en-us/documentation/articles/hdinsight-hbase-analyze-twitter-sentiment/