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Platform blog

Faster Lakeview dashboards with Materialized Views

February 1, 2024 by Chao Cai and Paul Lappas in Platform Blog
In this blog post, we will share how you can use Databricks SQL Materialized Views with Lakeview dashboards to deliver fresh data and...
Platform blog

Delivering cost-effective data in real time with dbt and Databricks

As businesses grow, data volumes scale from GBs to TBs (or more), and latency demands go from hours to minutes (or less), making...
Platform blog

Delta Live Tables Now Generally Available on Google Cloud

Today we are announcing the general availability of Delta Live Tables (DLT) on Google Cloud. DLT pipelines empower data engineers to build reliable...
Platform blog

Simplified Analytics Engineering with Databricks and dbt Labs

For over a year now, Databricks and dbt Labs have been working together to realize the vision of simplified real-time analytics engineering, combining...
Platform blog

Introducing Materialized Views and Streaming Tables for Databricks SQL

We are thrilled to announce that materialized views and streaming tables are now publicly available in Databricks SQL on AWS and Azure. Streaming...
Platform blog

Build Reliable and Cost Effective Streaming Data Pipelines With Delta Live Tables’ Enhanced Autoscaling

This year we announced the general availability of Delta Live Tables (DLT) , the first ETL framework to use a simple, declarative approach...
Platform blog

Delta Live Tables Announces New Capabilities and Performance Optimizations

June 29, 2022 by Paul Lappas and Michael Armbrust in Product
Since the availability of Delta Live Tables (DLT) on all clouds in April ( announcement ), we've introduced new features to make development...
Platform blog

Announcing General Availability of Databricks’ Delta Live Tables (DLT)

Today, we are thrilled to announce that Delta Live Tables (DLT) is generally available (GA) on the Amazon AWS and Microsoft Azure clouds...
Platform blog

Databricks Delta Live Tables Announces Support for Simplified Change Data Capture

​As organizations adopt the data lakehouse architecture, data engineers are looking for efficient ways to capture continually arriving data. Even with the right...