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SPS Utah 2016 - Unlock your big data with analytics and BI on Office 365


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SharePoint Saturday Utah has begun with a great crowd. I presented my session "Unlock your Big Data with Analytics and BI on Office 365" which is a Level 200 class. In my session I discuss how companies have huge amounts of data waiting to be explored. With Azure HDInsights (Microsoft's Hadoop cluster solution in partnership with Nortonworks) you can realize the value of your data. With Microsoft Excel 2013 and Office 365, you have a complete platform for BI solutions and services. PowerPivot, Power View, Power Query, Power Map and Power BI Sites empowers users analyze and make decisions using structured and unstructured data.
Attendee Takeaways:
1. Learn to setup and configure HDInsights on Microsoft Azure.
2. Understand how to use Excel for BI capabilities.
3. Build a BI Dashboard in Office365.

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SPS Utah 2016 - Unlock your big data with analytics and BI on Office 365

  1. 1. Unlock your Big Data with Analytics and BI on Office365 Brian Culver ● SPS Utah ● SPT 104 ● March 1-3, 2016
  2. 2. About Brian Culver, MCM  SharePoint Solutions Architect for Expert Point Solutions in Houston, Texas.  Microsoft Certified Master (MCM) in SharePoint  Microsoft Certified Professional Developer (MCPD).  Brian has worked in the Information Technology industry for since 1998 and he has been working with SharePoint since 2005. His deep expertise includes Azure, Office365, SharePoint, ASP.Net, SQL Server and Project Server. He has been involved in many large SharePoint implementations including Internet and Intranet sites, Partner Portals, Enterprise Content Management and Governance, and much custom application integration and development.  Author, Speaker and Blogger Email : brian.culver(at) Twitter : @spbrianculver LinkedIn : Blog :
  3. 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. 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. 5. What is Big Data?
  6. 6. What is Big Data?
  7. 7. What is Big Data?
  8. 8. What is Big Data? 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.
  9. 9. Data Complexity: Variety and Velocity Terabytes Gigabytes Megabytes Petabytes What is Big Data?
  10. 10. What is Big Data? Web app optimization Smart meter monitoring Advertising analysis Fraud detection Healthcare outcomes Weather forecasting Natural resource exploration Social network 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 Internet of Things (IoT)
  11. 11. What is Big Data? How are customers using HDInsight? Azure HDInsight + Machine Learning How Pier 1 uses HDInsight to improve and customize customer experience:
  12. 12. 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.
  13. 13. REDUCEMAP Map + Reduce = Extract, Load + Transform Raw Data Raw Data Raw Data Raw Data Mapper Mapper Mapper Mapper Data Data Data Data Reducer Output What is Big Data?
  14. 14. Understanding Sentiment Analysis  Sentiment Analysis is the process of understanding the emotional content of text.
  15. 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. 16. 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
  17. 17. 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
  18. 18. Understanding Sentiment Analysis Positive Fantastic Excellent Awesome Enjoyed Negative Sucked 4 1
  19. 19. Understanding Sentiment Analysis 4 1- = 3 Overall sentiment  Positive
  20. 20. Understanding Sentiment Analysis Sentiment Analysis gets a lot more complicated…
  21. 21. Big Data & Business Intelligence In the following demo, we will cover the following: 1. [If you don’t have one] Create an Azure Account 2. Go to 3. Create Storage 4. Create HDInsight Cluster 5. Load data into Blob Storage 6. Validate data via HDInsight 7. Hadoop and C# 8. Visualizing Results via Excel PowerView
  22. 22. Connecting Big Data and Business Intelligence Demo
  23. 23. 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.  But Where Is Big Data’s ROI?  Collecting data - the kind of data that provides valuable insights into customer preferences, cost savings and revenue generation.  Roughly 40% of companies are unsure whether they’ll receive any return—and that includes 38% of companies that have already made some investment in big data, according to Gartner data (437 large companies surveyed in June 2015).  “Gartner has also warned that the majority of big data projects in the short term are likely to fail.”
  24. 24. Thank you Brian Culver, MCM Twitter: @spbrianculver E-mail: brian.culver(at) Blog: Slides:
  25. 25. Questions ?? ? ?
  26. 26. Constructive Feedback Is Appreciated Great information, but would like to have learned more about [Insert Topic] Brian – Your presentation was … Good Demos! Thanks!
  27. 27. Thank you! Brian Culver, MCM Twitter: @spbrianculver E-mail: brian.culver(at) Blog: Slides:
  28. 28. Resources Twitter Sentiment Processing   sentiment/  odbc-driver/  data-98268d31-97e2-42aa-a52b-a68cf460472e  SharePoint-Server-99127d68-d7b7-42d0-a4ee-20e2d9897472?ui=en-US&rs=en- CA&ad=CA  e9c884650a26?ui=en-US&rs=en-CA&ad=CA    started/  art&refval=155652106&qid=2aa81339616939553482e7aae26523f4 