Real-time Point-of-Sale Analytics With a Data Lakehouse
Disruptions in the supply chain – from reduced product supply and diminished warehouse capacity – coupled with rapidly shifting consumer expectations for seamless consumer demands in the new normal. In this blog, we'll address the need for real-time data in retail, and how to overcome the challenges of moving real-time streaming of point-of-sale data at...
Announcing Public Preview of Low Shuffle Merge
Today, we are excited to announce the public preview of Low Shuffle Merge in Delta Lake, available on AWS, Azure, and Google Cloud. This new and improved MERGE algorithm is substantially faster and provides huge cost savings for our customers, especially with common use cases like updating a small number of rows in a given...
5 Steps to Implementing Intelligent Data Pipelines With Delta Live Tables
Many IT organizations are familiar with the traditional extract, transform and load (ETL) process - as a series of steps defined to move and transform data from source to traditional data warehouses and data marts for reporting purposes. However, as organizations morph to become more and more data-driven, the vast and various amounts of data,...
Introducing the Databricks Community: Online Discussions for Data + AI Practitioners
At Databricks, we know that impactful data transformation in any organization starts with empowered individuals. This is why we are excited to launch the Databricks Community to serve as an engaging online meeting place and discussion forum for data practitioners, partners and Databricks employees to get reliable answers relating to data and AI from experts...
New Performance Improvements in Databricks SQL
Originally announced at Data + AI Summit 2020 Europe, Databricks SQL lets you operate a multi-cloud lakehouse architecture that provides data warehousing performance at data lake economics. Our vision is to give data analysts a simple yet delightful tool for obtaining and sharing insights from their lakehouse using a purpose-built SQL UI and world-class support...
Implementing More Effective FAIR Scientific Data Management With a Lakehouse
Data powers scientific discovery and innovation. But data is only as good as its data management strategy, the key factor in ensuring data quality, accessibility, and reproducibility of results – all requirements of reliable scientific evidence. As large datasets have become more and more important and accessible to scientists across disciplines, the problems of big...
Announcing the Launch of Delta Live Tables on Google Cloud
Today, we are excited to announce the availability of Delta Live Tables (DLT) on Google Cloud. With this launch, enterprises can now use DLT to easily build and deploy SQL and Python pipelines and run ETL workloads directly on their lakehouse on Google Cloud. In order to power analytics, data science and machine learning, data...
Infrastructure Design for Real-time Machine Learning Inference
This is a guest authored post by Yu Chen, Senior Software Engineer, Headspace. Headspace’s core products are iOS, Android and web-based apps that focus on improving the health and happiness of its users through mindfulness, meditation, sleep, exercise and focus content. Machine learning (ML) models are core to our user experiences by offering recommendations...
How Incremental ETL Makes Life Simpler With Data Lakes
Incremental ETL (Extract, Transform and Load) in a conventional data warehouse has become commonplace with CDC (change data capture) sources, but scale, cost, accounting for state and the lack of machine learning access make it less than ideal. In contrast, incremental ETL in a data lake hasn’t been possible due to factors such as the...
Frequently Asked Questions About the Data Lakehouse
Question Index What is a Data Lakehouse? How is a Data Lakehouse different from a Data Warehouse? How is the Data Lakehouse different from a Data Lake? How easy is it for data analysts to use a Data Lakehouse? How do Data Lakehouse systems compare in performance and cost to data warehouses? What data governance...
