Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY

Using the blockchain in the enterprise

Jim Scott (NVIDIA)
2:05pm–2:45pm Wednesday, 09/12/2018
Data engineering and architecture
Location: 1A 21/22 Level: Non-technical
Secondary topics:  Blockchain and decentralization, Financial Services
Average rating: **...
(2.67, 3 ratings)

Who is this presentation for?

  • Software engineers and architects and line of business owners

Prerequisite knowledge

  • A general understanding of data flows within a business

What you'll learn

  • Learn how to implement blockchain-based decentralized applications
  • Explore applicable use cases


As a technology solution stack, the blockchain offers a number of benefits that should cause line of business owners to pay attention. Public blockchains, however, bring with them very slow transaction rates, causing trepidation for enterprises that want to adopt this technology stack. But with the proper architecture, private blockchains can be as fast as any other current-generation application.

Jim Scott details relevant use cases for blockchain-based solutions from the automotive, healthcare and human resources, and finance industries, focusing on a suggested architecture to achieve high-transaction-rate private blockchains and decentralized applications backed by a blockchain. You’ll learn when and why to leverage a blockchain-based solution and the specific benefits you’ll receive in doing so. You’ll also explore smart contracts, decentralized applications, and consensus models. Along the way, Jim compares public and private blockchain architectures and discusses enterprise-based architectural considerations for private blockchain solutions, demonstrating where the opportunities lie to provide not only the speed necessary to support the enterprise as well as other enterprise capabilities like security.

Photo of Jim Scott

Jim Scott


Jim Scott is the head of developer relations, data science, at NVIDIA. He’s passionate about building combined big data and blockchain solutions. Over his career, Jim has held positions running operations, engineering, architecture, and QA teams in the financial services, regulatory, digital advertising, IoT, manufacturing, healthcare, chemicals, and geographical management systems industries. Jim has built systems that handle more than 50 billion transactions per day, and his work with high-throughput computing at Dow was a precursor to more standardized big data concepts like Hadoop. Jim is also the cofounder of the Chicago Hadoop Users Group (CHUG).