#Lakehouse
50 articles with this tag
Databricks Simplifies SQL ETL in Lakehouse
Databricks enhances its Lakehouse platform with declarative patterns for SQL ETL, simplifying append, CDC, and batch updates for data analysts.
Databricks SQL Migration Myths Busted
Databricks SQL scripting now allows direct 'lift-and-shift' migration of complex legacy stored procedures, slashing timelines and empowering SQL teams.
Databricks AI Functions Arrive
Databricks integrates AI models into SQL queries with new AI Functions, simplifying data analysis and reducing complexity for users.
Databricks Unifies Unstructured Data for AI
Databricks introduces FILE type for native handling of unstructured data like images and video in its Lakehouse, enhancing AI development and governance.
NBCUniversal Cuts Costs With Databricks
NBCUniversal slashed data infrastructure costs by 30% and boosted agility by migrating to the Databricks Lakehouse platform, unifying analytics and ML.
Databricks Tries AI to Tame SQL Migrations
Databricks' new AI agent, Genie Code, automates T-SQL and other proprietary SQL to ANSI SQL migrations, simplifying data warehouse transitions.
Databricks Bets on AI for SQL Code Conversion
Databricks rolls out its AI-powered agentic code converter beta, aiming to simplify proprietary SQL to ANSI SQL conversions for data warehouse migrations.
Neo4j: AI on Lakehouse with Context in Shapes
Neo4j's Zach Blumenfeld explores how AI agents can overcome data context limitations using graph representations, focusing on warehouse and document data.
Databricks Lakehouse: The AI Context Layer
Databricks' Data Hub creates a governed AI context layer by unifying R&D data, prioritizing context coverage as a quality metric for both human and AI users.
Databricks Lakehouse: Unified Data AI Platform
Databricks' Lakehouse Architecture unifies data warehousing and data lakes for analytics and AI, emphasizing governance and open sharing.
Databricks Builds AI Soccer Coach
Databricks' new 'La Pizarra' app turns massive soccer match data into real-time tactical insights, leveraging AI for scouting and opponent analysis.
Databricks Scales Real-Time Fraud Detection
Databricks details how its Lakehouse architecture, combining Model Serving and Lakebase autoscaling, achieves sub-50ms transaction fraud scoring.
Databricks Unifies Lakehouse with Managed Tables
Databricks enhances its Unity Catalog managed tables, enabling external engines for read/write access and boosting performance via Predictive Optimization.
Synapse to Databricks: The Migration Playbook
Moving from Azure Synapse to Databricks offers a unified Lakehouse, streamlining analytics and AI workloads while cutting costs and complexity.
Databricks Auto Upgrades debut
Databricks Auto Upgrades automates the deployment of new lakehouse table features, enhancing performance and reliability without manual intervention.
Databricks Vibe Auto-Generates Data Models
Databricks unveils Vibe Data Modeling, an LLM agent that auto-generates Silver-layer data models from plain English in hours, not months.
Databricks Refines Partner Framework
Databricks updates its Partner Well-Architected Framework with AI-ready guidance, Dev Kit, and open-source Firefly to accelerate partner innovation.
Databricks Unveils Agentic CDP
Databricks introduces CustomerLake, an Agentic CDP built for AI agents, offering real-time personalization embedded in its Lakehouse platform.
Data Pipeline Architecture Explained
Understand the core layers, common patterns like ELT and Medallion, and best practices for building robust data pipelines.
Databricks Automates Data Ops with Genie ZeroOps
Databricks introduces Genie ZeroOps for automated data operations, alongside expanded connectivity and real-time processing capabilities.
Azure Databricks embraces agentic era
Databricks unveils major Azure updates, integrating AI agents into productivity tools, real-time data processing, and a new CDP for the agentic era.
Databricks Launches Agentic CDP
Databricks unveils CustomerLake, an Agentic CDP embedded in its Lakehouse, aiming to automate personalized customer experiences with AI agents.
Databricks Unifies Real-Time Data
Databricks launches Lakehouse//RT, integrating real-time data processing with millisecond speeds directly into its unified lakehouse platform via the Reyden engine.
Databricks Data Federation Arrives
Databricks Lakehouse Federation lets users query data wherever it lives, unifying access and governance across disparate sources without migration.
Databricks Taps Wall Street Vet
Databricks leverages Wall Street expertise with its unified data platform to help financial services overcome data silos and scale AI.
Mercedes-Benz Korea's AI Agents
Mercedes-Benz Korea leverages Databricks to build AI agents with a unified semantic layer, ensuring trusted data insights for BI and AI applications.
Databricks Touts AI Outcome Acceleration
Databricks launches its Forward Deployed Engineering (FDE) organization to accelerate customer AI outcomes through embedded engineering and a unified platform.
Databricks Hits Petabyte Scale Ingest
Databricks Zerobus Ingest achieves petabyte-scale data ingestion at 12 GB/s per table, eliminating infrastructure management.
Databricks Unifies Data and AI
Databricks aims to unify data management and AI development with its Lakehouse platform, streamlining operations and accelerating innovation.
Aer Lingus Bets on Data Fluency
Aer Lingus is building a data-fluent culture and modernizing its operations by prioritizing data foundations and empowering employees over chasing the latest AI trends.
Databricks, Health Samurai Unite Health Data
Databricks and Health Samurai partner to create a FHIR-native health data platform, unifying fragmented healthcare data without ETL.
Databricks Unifies Operational Data
Databricks' new Lakebase Change Data Feed simplifies operational data integration into the Lakehouse, enabling direct streaming and unified governance.
Databricks Fortifies Lakehouse Against Cloud Outages
Databricks is engineering its Lakehouse architecture for inherent resilience against cloud failures, using stateless compute and compartmentalization.
Databricks: Always-On Pricing
Databricks introduces Always-On pricing for Lakehouse Postgres, offering a 25% discount on baseline capacity without long-term commitments.
Databricks Tames AI Agents
Databricks enhances Unity Catalog to govern AI agents, focusing on access control, data lineage, cost intelligence, and interoperability.
Databricks Unifies Data, Analytics, and AI
Databricks aims to simplify data operations with its unified Lakehouse Platform, integrating data warehousing, analytics, and AI development.
AI Security Infrastructure Becomes CMO Concern
Databricks' Lakewatch signals a critical convergence: AI, security, and data infrastructure decisions are now paramount for CMOs to enable trustworthy AI at scale.
Databricks Unifies Clinical Data
Databricks' new open-source Site Feasibility Workbench brings clinical trial intelligence onto its Lakehouse, tackling data silos and improving auditability.
Databricks Unity Catalog Automates Data Security
Databricks Unity Catalog achieves general availability for ABAC policies, governed tags, and data classification, automating sensitive data protection.
Sports Data Gets Smarter
Databricks aims to unify sports data with its Lakehouse platform, turning player tracking and biomechanical data into actionable insights for competitive advantage.
Databricks Helps Consulting Firms Boost Profits
Databricks is empowering consulting firms to overcome margin pressure by unifying finance data and automating workflows, leading to significant improvements in cash flow and efficiency.
Databricks Syncs Postgres to Lakehouse Natively
Databricks unveils Native Lakehouse Sync, directly replicating operational Postgres data into Unity Catalog without pipelines, simplifying AI and analytics integration.
Databricks Unifies Lakehouse with Catalog Commits
Databricks launches Catalog Commits, enhancing its lakehouse with unified governance, improved interoperability, and multi-table transaction support.
Databricks boosts Postgres writes 5x
Databricks' lakebase architecture boosts Postgres write performance up to 5x by offloading durability tasks to distributed storage.
Databricks Crushes Monitoring Scale
Databricks scales monitoring to 10 trillion samples/day using customized open-source tools and a new Lakehouse platform for cost-effective high-cardinality data.
nOps Rebuilds Cloud Savings Platform on Databricks
nOps rebuilt its cloud cost optimization platform on Databricks Lakebase, integrating operational and analytical data for greater efficiency.
Databricks, BigQuery Unite Data Catalogs
Databricks and Google Cloud enable bidirectional catalog federation, allowing BigQuery and Unity Catalog users to access shared data without duplication.
AI Agents Need a New Foundation
AI agents are ready, but most enterprise architectures aren't. Databricks argues for a foundational shift to transactional data infrastructure for true AI value.
Snapchat CAPI Lands on Databricks
Snapchat's Conversions API is now available on Databricks Marketplace, simplifying data activation for advertisers and boosting campaign performance.
Killing the Builder's Tax for AI Apps
Tech leaders are cutting development costs and speeding up AI deployment by unifying data and applications on a single platform.