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Showing 23 results
This post is part of the Iceberg blog series. Read the entire series: Introduction to Apache Iceberg in Trino Iceberg Partitioning and Performance Optimizations...
As a data enthusiast, one of my goals is to understand how organizations attempt to create a trusted and accurate single source of truth...
Since my first introduction to dbt, I was intrigued to say the least. Working as a data engineer, I was attempting to manage complicated...
AWS S3 has become one of the most widely used storage platforms in the world. Companies store a variety of data on S3 from...
In honor of the release of Java 19, we present this series of blog posts on how to use the latest _bleeding edge_ features...
Proponents of Data Mesh understand its many game-changing benefits for large scale organizations. For those who are new to this reimagined framework, Data Mesh...
On Wednesday, August 3rd, I had the opportunity to share a hands-on lab exploring Data Lake reporting structures with my AWS partner in crime,...
It is quite popular in today's data climate for modern data architectures to have some sort of batch processing system to move data into...
This is Part 2 of a 2-part blog about how Trino can support both interactive and batch use cases. In Part 1, we explored...
Over the past twenty or so years, companies have experienced a Cambrian explosion of where their customer data resides.Cloud and on-premises enterprise applications aim...
Kafka was created at LinkedIn and open sourced into the Apache Software foundation in early 2011. It was developed to optimize writes especially for...
A growing number of enterprises are experiencing the benefits of the Starburst single point of access to all of their data that allows them...
Amazon EKS and Starburst help new users easily adopt, manage, and operate Kubernetes ...
Most companies want to follow good security practices. With the number of security breaches coming out daily, it almost feels like a matter of...
TL;DR: The Hive connector is what you use in Starburst Enterprise for reading data from object storage that is organized according to the rules...
A few days ago I read a Gartner report stating that data scientists spend 23% of their time on data collection and preparation. I...
Article reposted from Medium with permission from the author, Ashish Singh | Pinterest Engineer, Data Engineering As a data-driven company, many critical business decisions...
The typical big data infrastructure is a Frankenstein’s monster of legacy hardware, cloud connections, and storage environments. Data exists in different silos, in every...
With more and more companies using AWS for their many data processing and storage needs, it’s never been easier to query this data with...
It seems like migrating to the cloud has dominated the news and a lot of companies are shuttering their data centers and letting cloud...
Originally posted http://prestodb.rocks/news/presto-memory There is a highly efficient connector for Presto! It works by storing all data in memory on Presto Worker nodes, which...
Karol Sobczak, Co-founder and Software Engineer at Starburst Welcome back to the series of blog posts (checkout our previous post!) about Presto's first Cost-Based...
Wojciech Biela, Co-founder at Starburst Introduction As mentioned in our previous blog about the Starburst Presto release and its hottest addition - the Cost...
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