HeyJaredDatabricks Events
The official YouTube channel for Databricks Events and Webinars. Databricks hosts events worldwide, both online and in person, bringing together the Data and AI community to connect, collaborate, and learn from Databricks experts, customers, and partners.
- Indexed videos, last 90 days
- 248
- Latest publication
- Sep 9, 2026
- Audience
- ~584 subscribers
- Earliest in this view
- Jul 13, 2026
Latest videos
Virtual Delta Tables: Multimodal Document Architecture at Scribd Scale (opens the original)
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At Scribd scale—400 million documents, billions of pages—every copy-paste of a PDF breaks Parquet, multiplies storage costs, and makes governance impossible. This video presents Virtual Delta Tables, an architecture that uses the Delta transaction log as a metadata store for large binary files so each document has exactly one canonical reference, with no redundant storage and no zombie links. Built by Scribd's storage team, Virtual Delta Tables place file metadata—offset, size, content type, lan
Lakeflow Connect: 100+ Connectors for Enterprise Data Ingestion on Databricks (opens the original)
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Lakeflow Connect is the Databricks-native alternative to Fivetran and standalone ELT tools, now with 100+ connectors for databases (Oracle, Postgres, SQL Server), SaaS applications (Salesforce, Workday, ServiceNow, Google Analytics), file sources (SharePoint, Google Drive), and message buses (Kafka, RabbitMQ, ZeroBus). This video covers new capabilities, live demos, and customer results for teams building data pipelines directly on the Databricks Data and AI platform. New features highlighted in
Classic to Serverless on Databricks: Agentic Migration Playbook for Python and Scala (opens the original)
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Serverless compute on Databricks eliminates the need to provision, size, and manage clusters — but migrating real workloads from classic compute involves dozens of small changes: invalid Spark configs, init scripts to rethink, Scala JAR jobs, and pipelines tied to specific runtime versions. This video is a hands-on practitioner's guide to automating that migration using the new agentic migration tooling on Databricks. The migration agent inspects code, classifies incompatibilities, proposes fixe
Introducing Lakewatch: Databricks' Agentic Security Lakehouse (opens the original)
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Lakewatch is Databricks' agentic SIEM replacement—a security lakehouse that ingests all telemetry at full scale, applies AI-powered detection rules, and deploys Genie agents to investigate cases autonomously, eliminating proprietary data lock-in and SIEM storage trade-offs. This video introduces Lakewatch and shows how to replace a traditional SIEM with an open, agentic security data lake on Databricks. Attackers now exploit vulnerabilities in hours—down from months five years ago. Legacy SIEMs
Databricks Platform Security: Identity, Network Policies, and AI Agent Governance (opens the original)
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A security framework for AI on Databricks must scale across three dimensions simultaneously: from dozens of technical users to hundreds of thousands of business users and autonomous AI agents, from structured lakehouse data to unstructured multi-modal sources, and from internal networks to context-aware access policies. This video covers the wave of security capabilities Databricks is shipping to make enterprise-grade protection the default. Samrat Ray and Jason Wu walk through Automatic Identit
Publishing over time
Last 90 days. Choose a month to open its work.
Recurring subjects
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Audience
~584 subscribers
Measured Sep 19, 2026
Source's subscribers, not the number who saw an individual piece.
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