Lessons Learned in Building Real-time Big Data Systems

Register here.

Tuesday, April 28, 2015 - 5:30 PM

Microsoft R&D Auditorium - Shenkar 13, Herzliya

In the Age of the Customer, enterprises must modernize their application infrastructure to use real-time big data to attract, engage and retain consumers across devices, media and channels. As more companies realize the impact that processing massive amounts of data in real-time will have on business, it has become a top priority to make this change.

In his presentation, Srini will address the scale and scope of issues that developers face when building out real-time big data systems:

•  Key values vs. queries

• Bare-metal vs. cloud

• CAP vs. ACID

• Scaling up & Scaling out

• How to achieve operational excellence

• Benchmarking practices for ensuring maximum performance

What will you learn?

Techniques to deliver extremely low latency for reads in the presence of heavy write load Making judicious choices to provide availability and consistency with high performance in a variety of useful scenarios Why "scaling up” on one node and "scaling out” across multiple nodes are equally important Building software that takes maximum advantage of the performance of hardware

Dr. Srini V. Srinivasan, Founder and Chief Development Officer, Aerospike.

Srini brings 20-plus years of experience in designing, developing and operating Web-scale infrastructures, and he holds over a dozen patents in database, Internet, mobile, and distributed system technologies. Srini co-founded Aerospike to solve the scaling problems he experienced with traditional Relational databases at Yahoo! where, as senior director of engineering, he had global responsibility for the development, deployment and 24×7 operations of Yahoo!’s mobile products, in use by tens of millions of users. Srini also was chief architect of IBM’s DB2 Internet products, and he served as senior architect of digital TV products at Liberate Technologies. Srini has a B.Tech in Computer Science from IIT Madras and a M.S. and PhD in Databases from the University of Wisconsin-Madison.

Date: 
Tuesday, April 28, 2015 - 5:15pm to 9:15pm