Category: Engineering

On July 10, 2008, Apple opened the doors on a totally new kind of store. In one announcement, Apple enabled an entire ecosystem of apps, allowing for third-party developers to create applications specifically for iOS. As eBay was a launch partner for the historic launch of the App Store, it’s also the fifteenth anniversary of […]

Introduction Coban, Grab’s real-time data streaming platform team, has been building an ecosystem around Kafka, serving all Grab verticals. Along with stability and performance, one of our priorities is also cost efficiency. In this article, we explain how the Coban team has substantially reduced Grab’s annual cost for data streaming by enabling Kafka consumers to […]

This week, Bloomberg Intelligence’s “Tech Disruptors” podcast featured an interview with eBay Chief Technology Officer Mazen Rawashdeh. Mazen discussed the importance and prevalence of AI to eBay’s future, saying, “AI, in my opinion, is not a product; it’s an ecosystem. It touches every corner of our company.” Reflecting that ubiquity, Mazen noted eBay’s unique position […]

It’s been only 18 months since we announced Databricks SQL general availability – the serverless data warehouse on the Lakehouse – and we are thrilled and humbled by the adoption and impact it has gained in the community. With thousands of customers worldwide, and already over $100 million in recurring revenue, Databricks SQL is one […]

We are thrilled to announce that materialized views and streaming tables are now publicly available in Databricks SQL on AWS and Azure. Streaming tables provide incremental ingest from cloud storage and message queues. Materialized views are automatically and incrementally updated as new data arrives. Together, these two capabilities enable infrastructure-free data pipelines that are simple […]

Data teams face many challenges to quickly access the right data primarily due to data fragmentation, time and cost involved in consolidating data, and difficulties in managing data governance across many systems. That’s why today at Data+AI Summit, we are thrilled to announce Lakehouse Federation capabilities in Unity Catalog that allow organizations to build a […]

In this blog post, we will review the advancements in Spark Structured Streaming since we announced Project Lightspeed a year ago, from performance improvements to ecosystem expansion and beyond. Before we discuss specific innovations, let’s review a bit of background on how we arrived at the need for Project Lightspeed in the first place. Background […]

We are excited to announce Delta Lake 3.0, the next major release of the Linux Foundation open source Delta Lake Project, available in preview now. We extend our sincere appreciation to the Delta Lake community for their invaluable contributions to this release. Delta Lake 3.0 introduces the following powerful features: Delta Universal Format (UniForm) enables […]

Introduction We are thrilled to unveil the English SDK for Apache Spark, a transformative tool designed to enrich your Spark experience. Apache Spark™, celebrated globally with over a billion annual downloads from 208 countries and regions, has significantly advanced large-scale data analytics. With the innovative application of Generative AI, our English SDK seeks to expand […]

At Grab, we rely heavily on a large Go monorepo for backend development, which offers benefits like code reusability and discoverability. However, as we continue to grow, managing a large monorepo brings about its own set of unique challenges. As an example, using Go commands such as go get and go list can be incredibly slow when fetching Go […]