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Databricks & Fabric Tuning, and MLOps
2023-09-14 · 17:00
Sponsored by Amdaris - https://amdaris.com and Advancing Analytics - https://www.advancinganalytics.co.uk/ Amdaris is your trusted partner for high velocity extended delivery teams. Advancing Analytics specialises in building cutting-edge Data Platforms for Data Science and Data Engineering. Location: Amdaris, Finzels Reach, Aurora, Bristol BS1 6BX AGENDA 18.00 – 18:30 Meet & Greet -------------- 18:30 - 19:15 Introduction to Tuning Spark on Databricks and Fabric by Niall Langley More and more organisations are building data platforms in the cloud, often utilising Spark with tools like Databricks, and the recently announced Fabric to build data processing pipelines. These distributed computing tools can take a while to learn, and often teams migrating older premises data warehouses to cloud solutions like the lake house concentrate on getting good data over getting the best performance. However in the cloud, any performance improvements can have a big impact on monthly cost, making it much easier to to justify spending time getting things running faster and more efficiently. This talk aims to help point you at common pain points when working with Spark using Databricks or Fabric, showing you where to look, and what to look for, and what can be done to improve things. -------------- 19:15 - 19:45 Pizza and Networking -------------- 19:45 - 20:30 Want End-to-End MLOps? Look no further than Databricks! by Tori Tompkins Arguably the largest challenge in ML today is effectively deploying reliable and efficient models into production, with experts quoting that as many as 90% of model created never make it to production. MLOps streamlines the process of taking machine learning models to production, and then maintaining and monitoring them. With new MLOps micro-venders popping up every day, is there a tool that does everything? In this session, we will consider Databricks as an end-to-end MLOps tool, exploring collaborative workspaces, feature stores, model registries and model serving. We will also touch upon other critical MLOps practices such as model fairness, explainability and monitoring. Including practical demos of Databricks Feature Store, MLFlow and real-time Model Serving, this session is suitable for Data Scientists and Machine Learning Engineers of all levels. https://www.linkedin.com/in/tompkinstori/ -------------- 20:30 - Pub -------------- Notes
-------------- About Amdaris Of course, we’re obsessed with cutting-edge technology but it’s how much we care about people that sets us apart. Whether that’s looking after our clients, our staff or the next generation of tech talent, we know that exceptional software development is only possible with exceptional teamwork. If you need help extending your team, building your big idea or application support, we offer a better way to do software. |
Databricks & Fabric Tuning, and MLOps
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