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Trino Summit is a two-day virtual conference on the 11th and 12th of December 2024. It's an event that brings together engineers, analysts, data scientists, and anyone interested in using or contributing to Trino.
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Table maintenance is necessary for Apache Iceberg tables in order to keep your data optimized and performant. That extra effort is worth the reward...
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...
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...
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...
What is Kafka? Apache Kafka was created at LinkedIn and open sourced into the Apache Software foundation in early 2011. Kafka was developed to...
A growing number of enterprises are experiencing the benefits of the Starburst single point of access to all of their data that allows them...
Most companies want to follow good security practices. With the number of security breaches coming out daily, it almost feels like a matter of...
One of the most confusing aspects when starting with the Hive connector comes from the complex Hive model and overlapping use cases of this...
A few days ago I read a Gartner report stating that data scientists spend 23% of their time on data collection and preparation. I...
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...
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