Data Lakehouse Architecture - Databricks
The Databricks Data Intelligence Platform is built on lakehouse architecture, which combines the best elements of data lakes and data warehouses to help you reduce costs and deliver on your data and AI initiatives faster.
What is a data lakehouse? | Databricks on AWS
A lakehouse built on Databricks replaces the current dependency on data lakes and data warehouses for modern data companies. Some key tasks you can perform include: Real-time data processing: Process streaming data in real-time for immediate analysis and action.
What Is a Lakehouse? | Databricks Blog
2020年1月30日 · The lakehouse is a new data management architecture that radically simplifies enterprise data infrastructure and accelerates innovation in an age when machine learning is poised to disrupt every industry.
Lakehouse Fundamentals - Databricks
Watch 4 short tutorial videos, pass the knowledge test and earn an accreditation for Lakehouse Fundamentals — it’s that easy. Videos included in this training: Intro to Data Lakehouse; Intro to Databricks Lakehouse Platform; Intro to Databricks Lakehouse Platform Architecture and …
The scope of the lakehouse platform | Databricks on AWS
Overview of the lakehouse scope. The Databricks Data Intelligence Platform covers the complete modern data platform framework. It is built on the lakehouse architecture and powered by a data intelligence engine that understands the unique qualities of your data.
The Databricks Lakehouse Platform
Unlock the potential of data, analytics, and AI with Databricks Lakehouse Platform. Gain insights from industry leaders, explore high-performance data organizations, and learn strategies for scaling your organization with data and AI.
What is a Data Lakehouse? - Databricks
A data lakehouse is a new, open data management architecture that combines the flexibility, cost-efficiency, and scale of data lakes with the data management and ACID transactions of data warehouses, enabling business intelligence (BI) and machine learning (ML) on all data.
Introduction to the well-architected data lakehouse - Databricks
Understand the pros and cons of decisions you make when building the lakehouse. This framework provides architectural best practices for developing and operating a safe, reliable, efficient, and cost-effective lakehouse. See Data lakehouse architecture: Databricks well-architected framework.
The Databricks Lakehouse Platform
Learn how Databricks helps data engineers sleep at night by simplifying data management — from data processing with ETL to data governance — and why that makes the lakehouse architecture a reality.
Data Intelligence Platform - Databricks
The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data.