Explore the latest advancements, hear real-world case studies and discover best practices that deliver data and AI transformation. From the Databricks Lakehouse Platform to open source technologies including LLMs, Apache Sparkโข, Delta Lake, MLflow and more โ the practitioner's track at the World Tour has all the information you need to accelerate and enhance your work.
Join us to discover best practices across data engineering, data science, and advanced analytics on the lakehouse architecture.
Who should join?
โข | Data engineer responsible for designing and managing data pipelines |
โข | Data scientist working on cutting-edge ML and AI challenges |
โข | ML engineer focused on deploying models into production |
โข | Data analyst in charge of unravelling insights |
โข | Data architect responsible for designing and securing data infrastructure |
โข | Business leader interested in understanding the value of a unified and open data platform |
From inspiring keynotes to insightful sessions, the Data + AI World Tour Mumbai has something for you. Click here to learn more.
Worked on Databricks on medillion architecture with Azure Databricks which makes fast procession of my 2tb of data in max 10min
We can use databricks file on amazon s3 ,databricks inflow is awsome
Can use any structure and unstructured file , Xcel , CSV file to do the analysis using Amazon S3 or azure data lake ADF .keeping existing infra and systems intact
thanks
I enjoyed a lot at this event.
In POC phase with Databricks Unity catalog. Seems interesting for governance use cases.
Looking forward to upcoming enhancements in databricks sql dashboards as we are evaluating replacing existing Power BI dashboards with better performance and seamless integration.
Great to join informative session . Helpful to get learn about AI .
Databricks is a great product and had exciting meetup in Mumbai where the emphasis was on Data + AI, democratizing data is the future, cost of LLM models, MLflow in Databricks is quiet easy to use, Unity catalog gives every data team an edge by giving way to add Data governance.
Very great event organised by Databricks. Learning from industry experts.
Very informative and insightful event