Companies have huge amounts of data waiting to be explored. With Azure HDInsights 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. Power BI allows companies to manipulate and study a variety of data points, gain actionable insights and share their insights. PowerPivot, Power View, Power Query, Power Map and Power BI Sites let 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.
2. About Brian Culver
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)expertpointsolutions.com
Twitter : @spbrianculver
LinkedIn : https://www.linkedin.com/in/bculver
Blog : http://blog.expertpointsolutions.com
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
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.
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. What is Big Data?
How are customers using HDInsight?
Azure HDInsight + Machine Learning
How Pier 1 uses HDInsight to improve and customize
customer experience:
http://www.youtube.com/watch?v=fN8Cixcc5yg
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. 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?
15. 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
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. 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
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 https://portal.azure.com/
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
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.”
25. Constructive Feedback Is Appreciated
Great information,
but would like to
have learned more
about [Insert Topic]Brian – Your
presentation
was …
Good
Demos!
Thanks!