Big Data, Architecture: Compute, Storage, Networking challenges

Rodolfo Milito and Russ Gyurek, CISCO.

Five days, three hours per day (two 80 min lectures with a 20 min break)

First draft -- February12, 2014.

This course will be taught in SPANISH. 

DAY ONE

First Half

Personal introductions

Outline of the mini-course

Big Data (BD)

• The promise, the reality, the risks

• What is really new, what makes BD big, and what matters

• Overview of key verticals

• Technology trends: Hadoop, and what is next
• Identification of the major challenges
  

Deep dive on the challenges (reference to specific verticals Stages of handling BD -- ETL)

What does Internet of Things (IoT) bring to the table?

Real-time analytics: the hype and the reality

First Half

• Distributed Computing and Platforms
• MapReduce (MR), Storm, SPARK
• Programming models for batch, interactive, and streaming applications
• Emphasis on Pluses and Minuses 
• Key industry use cases driving development
  

• Databases -- traditional and new trends

RDBMS, NoSQL, NewSQL, Hadoop

• Consistency

Trade-offs between consistency, performance, and availability

Consistency in IoT geo-distributed systems

Other issues: Privacy, security

• Multicore systems and scalability

• Visionary: How will data explosion change the current landscape in 5

years? 10 years?

First Half

• Deep dive on BD and IoT
• The view from the Data Center/Cloud, the view from the Edge, and the
  

Integration

• Closing the loop between sensing and actuation
• Illustration with use cases of interest
  

Big Data & Agriculture 

Part One: The compute, storage, and networking infrastructure (field

sensors, agro-machine sensors and actuators, etc.)

• Big Data & Agriculture

• Part two: The agro informational exchange platform

• Actors, interactions, requirements 
Second Half

• Revisit of topics of main interest & wrap-up