Databricks Workflows
Databricks Workflows is the fully managed orchestration service for all your data, analytics, and AI. Deep integration with the underlying lakehouse platform ensures you will create and run reliable production workloads on any cloud while providing deep and centralized monitoring with simplicity for end-users.
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Public Health: Education, Access, and Policy
Matt Willis, Marin County Public Health Officer, shares the three pillars of public health: education, access, and policy, and the critical role data plays in addressing the COVID-19 pandemic & opioid epidemic.
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Architecting for Data Quality in the Lakehouse with Delta Lake and PySpark
From null values and duplicate rows to modeling errors and schema changes, data can break for millions of reasons. To combat this, teams are increasingly adopting best practices from DevOps and software engineering to identify, resolve, and even prevent this “data downtime” from happening in the first place. Join Prateek Chawla and Ryan Kearns as […]
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Delivering better patient outcomes with the Lakehouse for Healthcare and Life Sciences | Databricks
The healthcare and life sciences industry is complex, but the mission is clear: improve patient outcomes. Delivering on this mission begins with data. The potential is there, but the data for so many organizations remains out of reach. Powered by the Databricks Lakehouse Platform, organizations across the industry are tapping into data and AI to […]
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Scaling XGBoost for thousands of features with Databricks
This talk discusses a use case involving online advertising that allows marketers to target users based on demographic information and the corresponding ML modeling involved in this use case. After a brief discussion that covers the background of the problem, we will take a deeper dive into the modeling itself and how we were able […]
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Data Lakehouse Symposium | Part 2
The world of data architecture began with applications. Next came data warehouses. Then text was organized into a data warehouse. Then one day the world discovered a whole new kind of data that was being generated by organizations. The world found that machines generated data that could be transformed into valuable insights. This was the […]
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Data Lakehouse Symposium | Part 1
The world of data architecture began with applications. Next came data warehouses. Then text was organized into a data warehouse. Then one day the world discovered a whole new kind of data that was being generated by organizations. The world found that machines generated data that could be transformed into valuable insights. This was the […]
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Delta Sharing – ODSC Webinar
In this ODSC webinar session, Frank Munz will dive deep into Delta Sharing; A Linux Foundation open source solution for sharing massive amounts of data in a cheap, secure, and scalable way. Delta Sharing reliably accesses data at the bandwidth of modern cloud object stores, such as S3, ADLS, or GCS. To get you started, […]
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Data + AI World Tour: Reckitt Keynote
Reckitt shares the story of their Lakehouse journey, from the drivers behind their shift to this new paradigm, to lessons learned along the way. From a starting point of a siloed, data warehouse centric architecture that had inherent challenges with scalability, performance and data duplication, Reckitt has standardized upon Databricks to serve as an open […]
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Discover the Data Lakehouse
Arsalan Tavakoli-Shiraji, SVP of Field Engineering at Databricks explains the Data Lakehouse. Data is the focal point for innovation and disruption, but organizations are increasingly challenged with managing massive amounts of data to derive value. With new analytics and ML requirements, organizations need a flexible, multi-cloud data architecture that supports all data types, data teams, […]
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