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X-WR-CALDESC:Events for ORTECH | Engineering Data, Lakehouse & AI for Impact
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DTSTART;TZID=Asia/Shanghai:20261007T000000
DTEND;TZID=Asia/Shanghai:20261007T010000
DTSTAMP:20260911T100959Z
CREATED:20260911T090040Z
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UID:3950-1791331200-1791334800@ortech.com.my
SUMMARY:Workshop: Apache Iceberg in Practice: Build\, Evolve\, and Optimize
DESCRIPTION:Designing high-performance open lakehouse tables is only the starting point. As business requirements pivot\, schema definitions shift\, and data volumes surge\, keeping Apache Iceberg tables performant\, reliable\, and healthy requires a clear operational framework. \n  \nJoin Starburst for an interactive\, hands-on workshop led by Marius Grama\, Engineering Manager at Starburst\, titled “Apache Iceberg in Practice: Build\, Evolve\, and Optimize.” Rather than staying high-level\, this session tracks a single Iceberg table across its complete production lifecycle—from initial creation and data hydration to schema evolution and ongoing table maintenance. \n  \nBy dissecting how Apache Iceberg manages snapshot metadata\, manifests\, and versioning under the hood\, you will walk away with a practical\, step-by-step operating model you can implement immediately within your data lakehouse architecture. \n  \nWhat You’ll Learn: \n\nTable Foundation & Querying: Create\, populate\, and query Apache Iceberg tables designed for enterprise scale.\nUnder-the-Hood Mechanics: Understand exactly how Iceberg stores metadata\, tracks snapshots\, and versions state changes across distributed storage.\nSeamless Schema & Partition Evolution: Alter column schemas and partition specs on the fly—completely eliminating costly\, full-table data rewrites.\nZero-Copy Branching: Leverage Git-like branching in Iceberg to stage\, test\, and validate data modifications safely before merging them into production.\nLong-Term Performance Optimization: Implement maintenance strategies (compaction\, snapshot expiration\, and manifest rewrites) to prevent table degradation as workloads scale.\n\n  \nWhether you are a data engineer\, lakehouse architect\, or analytics platform administrator\, this workshop provides the tactical knowledge needed to build resilient\, self-sustaining Iceberg tables that scale effortlessly.
URL:https://ortech.com.my/event/workshop-apache-iceberg-in-practice-build-evolve-and-optimize/
LOCATION:Live Webinar
CATEGORIES:Startburst Events
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DTSTART;TZID=Asia/Shanghai:20261009T000000
DTEND;TZID=Asia/Shanghai:20261009T010000
DTSTAMP:20260914T092105Z
CREATED:20260914T063749Z
LAST-MODIFIED:20260914T092105Z
UID:3960-1791504000-1791507600@ortech.com.my
SUMMARY:Office Hours: Governed AI Workflows with AIDA Skills and Guardrails
DESCRIPTION:Scaling generative AI across enterprise data comes with significant risk: without granular controls\, unmonitored agentic workflows can bypass governance\, hallucinate business context\, or expose sensitive datasets. Empowering teams with conversational analytics requires enterprise-grade guardrails baked directly into the data layer. \n  \nJoin Starburst for this dedicated Office Hours session exploring Governed AI Workflows with AIDA Skills and Guardrails. In this live walkthrough\, Starburst experts will showcase how AIDA (AI Data Assistant) bridges the gap between natural language discovery and enterprise data governance\, ensuring AI models and agentic workflows operate securely within verified business parameters. \n  \nYou will see firsthand how to configure custom skills\, apply strict governance guardrails\, and enable trusted\, conversational analytics across your modern lakehouse without compromising security or compliance. \n  \nWhat You’ll Learn: \n\nOperationalizing AIDA Skills: Build and assign specific analytical capabilities to AI assistants to automate routine data exploration and query generation safely.\nEnterprise Guardrails & Access Control: Enforce role-based access\, data masking\, and contextual constraints directly at the data lakehouse foundation.\nContext-Aware Analytics: Ensure AI-generated insights align with defined business semantics\, preventing hallucinations and inaccurate query translations.\nAuditing & Telemetry: Track\, monitor\, and audit AI-driven analytical activity and agent interactions across enterprise environments.\n\n  \nWhether you are an analytics engineer\, data architect\, CDO\, or security lead\, this session offers a tactical blueprint for adopting agentic workflows and AI-driven data products with total confidence and compliance.
URL:https://ortech.com.my/event/office-hours-governed-ai-workflows-with-aida-skills-and-guardrails/
LOCATION:Live Webinar
CATEGORIES:Startburst Events
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