1. Introduction to Big Data
Basics of Big Data by Warren Sifre

2. Warren Sifre Presenter… Data Analytics Solution Architect DMI
LinkedIn:

3. Who is Warren??? Data Professional for over 20 years…
OCR/Spartan/Savage Racer and American Ninja Warrior in Training!!!
Interests in SQL Server, MongoDB, Hadoop, PowerShell, and Information Security (Hacking)
Indy BI PASS User Group Founder and Chapter Leader / Indy Power BI User Group Chapter Leader
Frequent Presenter for PASS SQL Saturday, Local and Virtual User Groups, and other non- PASS related Conferences / User Groups.
MSCE: Data Platforms/Business Intelligence, Hortonworks HCA, Teradata 14 CTP and many more…

4. Agenda What is Big Data? Why Big Data is a Big Deal?
Sources of Big Data
What Technology is related to Big Data?
How is Big Data Leveraged by Organizations?

5. What is Big Data?
Big Data is a classification of your organization’s data when it exceeds the traditional data management infrastructure.
When data meets (at a minimum) one of the three V’s, but ideally 2 or more.

6. What are the Three Vs? Variety Extremely Large Data 10s of TBs to ZBs
Volume
Variety
Velocity
Extremely Large Data
10s of TBs to ZBs
Data Changes Shape
Dynamic Schema
Extremely High # of Data Sources
Extremely high # of data records generated per second
Extremely high # of user requests per second

7. What is the Big Deal with Big Data?
Big Data will most likely be the last time the mindset behind data will undergo such transformation or paradigm shift.
Big Data is the culmination of technological connectedness that stems from the human need for knowing, sharing, and feedback loops.
Big Data allows for Advanced Analytics to be the cornerstone of the most ground breaking innovations in the 21st century.

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9. Research & Development GPS / Location Services
Sources of Big data…
Machines / Devices
Research & Development
GPS / Location Services
Web Applications
Social Networks

10. Technology behind Leveraging Big Data
Machine Learning
Cloud Architecture
No SQL
Hadoop
Spark
Mongo DB
CosmosDB
Microsoft Azure
Amazon AWS
IBM Cloud
Google Cloud
Data Science
Predictive Models
Advanced Analytics

11. How are others using big data?
Rolls Royce is now selling Engine Mileage instead of Engines.
Wind Mill farms are levering IoT to determine whether Wind Mills should be active or not.
Transportation industry is performing predictive maintenance on vehicle as a way to eliminate unscheduled downtime.

12. Warren Sifre Thank You!!! Data Analytics Solution Architect DMI
LinkedIn: