Microservices with Hadoop

Microservices can be leveraged on a message-driven architecture, but the concept must be thoughtfully implemented to show the true value. Jim Scott outlines the core tenets of a message-driven architecture and explains its importance in real-time big data-enabled distributed systems within the realm of finance. Along the way, Jim covers financial use cases dealing with securities management and fraud—starting with ingestion of data from potentially hundreds of data sources to the required fan-out of that data without sacrificing performance—and discusses the pros and cons around operational capabilities and using the same data pipeline to support development and quality assurance practices.

Speaker Bio:

Jim Scott is the director of enterprise strategy and architecture at MapR Technologies, Inc. Across his career, Jim has held positions running operations, engineering, architecture, and QA teams in the consumer packaged goods, digital advertising, digital mapping, chemical, and pharmaceutical industries. Jim has built systems that handle more than 50 billion transactions per day, and his work with high-throughput computing at Dow Chemical was a precursor to more standardized big data concepts like Hadoop. Jim is also the cofounder of the Chicago Hadoop Users Group (CHUG), where he has coordinated the Chicago Hadoop community for seven years.

We'll have food/drink at 6:30, and begin the presentation at 7:00pm. The speaker and refreshments is sponsored by MapR. The meeting space is sponsored by Cloudera.