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

From data lakes to the data fabric: Our vision for digital strategy (sponsored by Cambridge Semantics)

Sam Chance (Cambridge Semantics), Partha Bhattacharjee (Cambridge Semantics)
5:25pm–6:05pm Wednesday, 09/12/2018
Location: 1E 17

What you'll learn

  • Explore Cambridge Semantics's vision for digital innovation and its Anzo product


Ben Szekely shares a vision for digital innovation: The data fabric connects enterprise data for unprecedented access in an overlay fashion that does not disrupt current investments. Interconnected and reliable data drives business outcomes by automating scalable AI and ML efforts. Graph technology is the way forward to realize this future.

For the last five years, the lack of a universal data lake definition has given rise to custom analytics solutions built by stitching together multiple big data and cloud technologies. Cambridge Semantics has differentiated its solutions with knowledge graph technology to handle complex, diverse, and multistructured data. The semantic graph foundation has made its Anzo product exceptionally well suited to power the next wave of digital solutions that leverage advanced data science, cloud infrastructure, and deep end-user engagement.

Over the last 12–18 months, the data lake universe converged to a defined set of infrastructural capabilities, including ingest, raw data storage, and cataloging. Organizations apply data lake infrastructure as the foundation for broader data management and digital strategies that are often referred to as the data backbone, data foundry, insight platform, data model, and of course, data fabric. Colocation of datasets does not an information fabric make. Semantic integration is required to achieve these higher-order data strategies.

Anzo 4.0 enhances and productizes the visions in these strategies with a fully packaged solution ready to deploy on any data lake architecture. In addition to ingestion, storage, cataloging, and provenance, Anzo creates an end-to-end semantic layer powered by graph technology. The semantic layer holds business-friendly connected and contextualized data and supports seamless, interoperable industrial-scale data science on knowledge graph technology, which addresses a longstanding unmet market need.

Forming the semantic layer on the enterprise data fabric, Anzo creates a virtual intelligence cycle constituted of human interaction, machine learning algorithms, and connected data. Anzo’s scalable architecture is highly compatible with modern AI/ML products, tools, and frameworks for self-serviced data science. Empowered data practitioners can thus expeditiously operate sophisticated data science workflows at industrial scale and tempo. Such workflows encompass fetching data from diverse structured and unstructured sources at scale, processing and transforming them efficiently, and using custom and third-party ML tools iteratively to generate business insights. Enterprises looking to benefit from advances in AI/ML will be exceptionally well served by using Anzo as the platform of choice to operationalize data science efforts.

The data fabric prevails as the bedrock of enterprise digital strategy. Connected and highly available data is the new normal, powering analytics and AI. The data lake itself is commoditized, like raw compute or disk, and becomes an unseen part of the stack. Semantic graph technology is central to data fabric initiatives that meaningfully contribute to digital transformation.

This session is sponsored by Cambridge Semantics.

Sam Chance

Cambridge Semantics

Mr. Samuel Chance retired from the U.S. Navy in 2006 and has since served as a Senior Systems Engineer and Architect. Mr. Chance completed his Master’s thesis in Semantic Web Technologies in 2003. He possesses nearly 35 years of experience in electronics, communications, and distributed systems design, development and lifecycle support. Mr. Chance has broad technical expertise in Service Oriented Architecture, Semantics-Based Computing, Intelligent Agent and Knowledge Management Systems. He keynoted or presented in myriad public U.S. and international engagements such as the Semantic Technologies Conference, International Standards Organization Open Forums, Object Management Group, and DODIIS Worldwide Conference. Mr. Chance worked as technology consultant on various national security programs before joining Cambridge Semantics. He currently works closely with the Cambridge Semantics Sales and Engineering teams to accurately define and communicate the value of the company’s Anzo platform to the marketplace and its growing roster of customers, while also architecting customized solutions for their environments.

Partha Bhattacharjee

Cambridge Semantics

Partha works for the Solutions Engineering team at Cambridge Semantics.