1. Big Data
Young Lee BUS 550

2. Big data

3. Big Data Explosion of information Iot Analytics
Not just SQL (Structured query language)but unstructured data
Transformation from a entity based data to transactional databases

4. Industry https://www.youtube.com/watch?v=eVSfJhssXUA
Billion dollar industry
Corporate investments

5. who
IBM
Google
Sears
Amazon
Social media applications: facebook

6. Why Insights Predictions Customer value Efficiency Costs savings
Product development
Makes AI possible
Analytics

7. How Cloud computing Cognitive computing Artificial intelligence
Software implementations

8. Who needs big data Insurance companies Airlines Retail Hospitals
Traffic
Manufacturers

9. Concept of big data

10. DatA Data is like a dam Gartner security
High volume, high velocity and high variety (unstructured)
Veracity (trustworthy)
security

11. IBM take on Big data

12. Tools of big data Map reduce Hadoop Big Table Kaggle
Tool design by google to functions large amount of data
Hadoop
Run Map reduce on large cluster
Big Table
Google developed distributed storage
Kaggle

13. Hadoop
The Apache™ Hadoop® project develops open-source software for reliable, scalable, distributed computing.
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.

14. Kaggle
Kaggle is an online community of data scientists and machine learners, owned by Google, Inc. Kaggle allows users to find and publish data sets, explore and build models in a web-based data-science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.

15. issues Security Personal information Constant monitoring Safety
Storage
Errors (
Scary (Forbes)

16. Questions
Who made map reduce?