Data Collaboration

Datacast Episode 132: Big Data Engineering, Data Culture from First Principles, and Reimagined Metadata with Suresh Srinivas

Datacast Episode 132: Big Data Engineering, Data Culture from First Principles, and Reimagined Metadata with Suresh Srinivas

Suresh Srinivas was the Chief Architect of Uber’s data platform, responsible for all data initiatives at the company, including the Databook, Data Quality, and Data Lineage initiatives. Suresh was part of the original team that built Hadoop at Yahoo! and co-founded Hortonworks, which developed and supported open-source software to manage big data and associated processing.

He is leading the OpenMetadata Project to build Metadata APIs & specifications and a single place to discover, collaborate, and get your data right.

Datacast Episode 130: Towards Accessible Data Analysis with Emanuel Zgraggen

Datacast Episode 130: Towards Accessible Data Analysis with Emanuel Zgraggen

Before founding Einblick in 2020, Emanuel was a postdoc in the database group at MIT and got his Ph.D. in Computer Science from Brown University. He worked on various interactive tools for visual data exploration and analysis during this time. Most of them either influenced or are direct predecessors of Einblick.

Before coming to the US, Emanuel worked as a Software and Data Engineer for various financial companies in Zurich. He tried his luck as a freelancer building in-studio touchscreen installations for Swiss National TV and developing a Spotify clone that failed miserably.

Datacast Episode 119: Experimentation Culture, Immutable Data Warehouse, The Data Collaboration Problem, and The Rise of Data Contracts with Chad Sanderson

Datacast Episode 119: Experimentation Culture, Immutable Data Warehouse, The Data Collaboration Problem, and The Rise of Data Contracts with Chad Sanderson

Chad Sanderson was the Product Lead for Convoy's Data Platform team, which includes the data warehouse, streaming, BI & visualization, experimentation, machine learning, and data discovery.

Previously he worked on Microsoft's AI Platform team and led Data initiatives at SEPHORA and Subway. He has built everything from feature stores, experimentation platforms, metrics layers, streaming platforms, analytics tools, data discovery systems, and workflow development platforms.

His love of the data space has also allowed him to implement open-source and SaaS products (early and late-stage) and build cutting-edge technology from the ground up.