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Make Data Work
Oct 15–17, 2014 • New York, NY

How to Architect Big Data Apps with the Lambda Architecture - with Real Work Examples on Merging Batch and Real-Time Processing

Altan Khendup @madmongol (Teradata Corporation), Ron Bodkin (Google)
11:50am–12:30pm Friday, 10/17/2014
Location: 1 E16/ 1 E17
Average rating: ****.
(4.00, 1 rating)
Slides:   1-PPTX 

Developing Big Data applications for today’s real-world business processes can be extremely complex because of the nature of processing, variety of systems and # of data sources involved. Some data (and use cases) need near real-time processing while others need batch processing –which cannot be achieved with today’s EITHER-OR processing architectures like Storm, Map Reduce etc. How do you bring these two seemingly diametrically opposite worlds together? In the recent times, the LAMBDA Architecture has provided viable answers through a generic, scalable and fault-tolerant data processing with many large web companies having an implementation of their own. This session would explain the details on this evolving architecture, design principles involved, architecture layers/components, use cases and practical learnings from real-world implementations.

This session is sponsored by Teradata

Photo of Altan Khendup @madmongol

Altan Khendup @madmongol

Teradata Corporation

Technology professional working in Teradata’s Big Data Center of Excellence focused on creating analytical ecosystem data fabrics that integrate Big Data systems and technology

“Working with businesses to imagine what’s possible and helping them get there.”

Photo of Ron Bodkin

Ron Bodkin


Ron Bodkin is a technical director on the applied artificial intelligence team at Google, where he provides leadership for AI success for customers in Google’s Cloud CTO office. Ron engages deeply with Global F500 enterprises to unlock strategic value with AI, acts as executive sponsor with Google product and engineering to deliver value from AI solutions, and leads strategic initiatives working with customers and partners. Previously, Ron was the founding CEO of Think Big Analytics, a company that provides end-to-end support for enterprise big data, including data science, data engineering, advisory, and managed services and frameworks such as Kylo for enterprise data lakes. When Think Big was acquired by Teradata, Ron led global growth, the development of the Kylo open source data lake framework, and the company’s expansion to architecture consulting; he also created Teradata’s artificial intelligence incubator.