Christina Taylor

Christina Taylor

Data Engineering Lead at Abridge AI

    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.

    All Sessions by Christina Taylor

    Day 1 04/23/2024
    3:30 pm - 4:00 pm

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

    <span class="etn-schedule-location"> <span class="firstfocus">Data Engineering</span> </span>

    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

    Open Data Science




    Open Data Science
    One Broadway
    Cambridge, MA 02142

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