We are excited to bring two great speakers to you for our April Meeting.
- When: Thursday April 12, 2012 12:00 pm to 4:30 pm
- Where: OCLC Conference Center
Agenda
- 12:00 – 12:30: Sign-in, Lunch
- 12:30 – 12:45: Chapter Announcements
- 12:45 – 2:15: Big Data Solutions (Michael Covert)
- 2:15 – 2:30: Discussion / Open Networking
- 2:30 – 2:45: Break
- 2:45 – 4:15: Cloud and Big Data – Can Cloud Enable Big Data (Steve Gruetter and Alex Rodriguez of Expedient)
- 4:15: Meeting Wrap-up
About Our Speakers & Their Topics
Michael Covert: Founder and general manager of Covert Consulting, a regional IT consulting firm specializing in IT Management, Technical Architecture, and the usage of advanced analytics in a business environment.
Topic: Big Data Solutions
The age of Big Data is upon us. As data volumes have grown to multi-terabyte, petabyte, and soon exabyte proportions, we naturally want to explore this wealth of data to derive understanding that can yield insights into customers, suppliers, products, competitors – the usual suspects pertaining to your business. But how does one manage this data explosion, prepare it for analysis, and then produce analytical results in a manner that is scalable, cost-effective, and ultimately can be easily used?
The emerging answers come from Big Data solutions that are the outgrowth of Web-scale analytics. But, what exactly are these solutions? Who supports them? How much investment is required, and how probable is it that we will be successful with them? What synergies exist with the movement to the Cloud? How do these technologies differ from our familiar RDBMS systems, and what’s with this NoSQL thing anyway?
In this session we will discuss many details of this newly emerging area of data management and analytics. We will cover:
- The origins, history, and design of Big Data solutions
- Ancient history
- Modern history
- Recent bleeding edge history
- The current state of the technical offerings
- Apache Hadoop
- The NoSQL movement
- The role of secondary integrators
- Application vendors
- Cloud vendors
- Architecture of Apache Hadoop and the Hadoop technology stack
- Hardware and software structures
- Data flow and processing paradigm
- Development, tools, and applications
- Operational considerations for adopting a Big Data Architecture
- Integration into an existing enterprise Development skills and training
- Maintenance and upgrades
- Systems management and security
- IT Management considerations
- Understanding the business case
- Understanding short term and long term costs
- Project planning, management, and oversight
