The Future of the Single Source of Truth is an Open Data Lake

Abstract: 

Join me on an exciting journey where we build a centralized data repository that seamlessly ingests data from a wide range of sources, including service databases, SAAS applications, files, and conversational data. Witness how implementing an open format can substantially reduce cloud costs and prevent vendor lock-in. Discover how cloud file targets can decouple compute and storage, streamlining data pipeline efficiency. I will delve into the EL (extract/load) process and provide a quantitative approach that will help you choose the most appropriate technology. Whether you seek to scale analytics, machine learning, or product use cases, I will guide you toward a future-proof data strategy.

I hope the audience is empowered to choose open source technology and open table format. https://delta.io/for the UniForm project

Bio: 

Christina is passionate about open source, multi-cloud, scalable and efficient data pipelines. She makes data informed architectural decisions to build modern systems that support advanced analytics, machine learning, and customer facing product use cases. She has a keen interest in interdisciplinary areas such as DevOps, MLOps and Cloud FinOps. She loves to learn, share and contribute to the open source community.

Open Data Science

 

 

 

Open Data Science
One Broadway
Cambridge, MA 02142
info@odsc.com

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