Modern enterprises not only have a myriad of data sources, from real-time events, transactional, Big Data, and many other systems, but they also boast a rich ecosystem of thousands of APIs & treasure of deep technical metadata. How do you organize and gain insights from all of this? In addition, there is a trove of metadata from sources such as data transformations, SQL queries, security scans, slack chats, thousands user hierarchies, orgs & locations, access controls, Wiki pages, JIRA tickets and more. Normally, these sources are all disconnected from each other, and valuable insights are missed. Enterprise Metadata is central to data management, leading to effective Data Governance. In this context, we believe Enterprise metadata transcends the traditional Data Catalog, We envision Graph of Enterprise Metadata as a comprehensive knowledge graph that connects and puts all the critical metadata under one umbrella, which will eventually lead us to effective Data Governance.

Speakers:  Daniel Rincon Silva & Deepak Chandramouli 

As data becomes core to every product, data operations become critical. The OpenLineage API

enables data pipeline observability.

Speaker: Julien Le Dem is the CTO and Co-Founder of Datakin. He co-created Apache Parquet and is involved in several open source projects including Marquez (LF AI), Apache Pig, Apache Arrow, Apache Iceberg and a few others. Previously, he was a senior principal at Wework; principal architect at Dremio; tech lead for Twitter’s data processing tools, where he also obtained a two-character Twitter handle (@J_); and a principal engineer and tech lead working on content platforms at Yahoo, where he received his Hadoop initiation. His French accent makes his talks particularly attractive.

Most people think that a catalog is just good for search and discovery.
But what all can you do if you had an amazing metadata platform sitting behind your search and discovery application?
Shirshanka explores just that by talking about the different use-cases for metadata that are powered by DataHub’s metadata platform at LinkedIn.

Speaker:  Shirshanka Das  is a Principal Staff Software Engineer in the Data team at LinkedIn. He is responsible for creating and driving the vision for the LinkedIn DataHub and Apache Gobblin projects which power metadata and big data management at the company.

Improving metadata for Earth observations is a long-tern goal of mine. Assessing metadata completeness against community recommendations helps us understand past decisions by researchers and repositories and learn lessons for improving metadata today. Examples of assessments from several large repositories demonstrate how the assessment process can motivate and facilitate continuous metadata improvement efforts.

Speaker: documentation at NOAA’s National Centers for Environmental Information.

Speaker: Ted Habermann created Metadata Game Changers to focus on helping organizations improve metadata for data discovery, access, and understanding. Previously he was the Director of Earth Science at The HDF Group and worked for many years to improve data management, access, interoperability and documentation at NOAA’s National Centers for Environmental Information.

This lightning talk will take a brief look at the surprisingly social life of metadata. In the research the academic citation is the most important type of metadata, but why is it that the way a citation looks can affect the way an entire industry behaves? We will take a quick look!

Speaker:  Ian Mulvany is CTO at BMJ. Previously he was head of transformation at SAGE Publishing. He helped setup SAGE’s methods innovation incubator SAGE Ocean following a lean product development approach. He ran technology operations for eLife, was head of product for Mendeley and ran a number of early web2.0 products for Nature Publishing Group.

He is passionate about creating digital tools that support the research enterprise. He is interested in the interplay between different stakeholders that can lead to the sustainably of these kinds of tools.