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


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. the UniForm project


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

Privacy Settings
We use cookies to enhance your experience while using our website. If you are using our Services via a browser you can restrict, block or remove cookies through your web browser settings. We also use content and scripts from third parties that may use tracking technologies. You can selectively provide your consent below to allow such third party embeds. For complete information about the cookies we use, data we collect and how we process them, please check our Privacy Policy
Consent to display content from - Youtube
Consent to display content from - Vimeo
Google Maps
Consent to display content from - Google