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Author
Tom Nats
Director of Customer Solutions, Starburst
Tom Nats is a founding Solution Architect at Starburst. He’s worked in the data analytics and infrastructure space for the past 20+ years at companies such as Starburst, Databricks, Teradata, Comcast, and Datasource Consulting. Recent publications
- Modern Data Lakes For Dummies by Tom Nats
- Webinar — Building a data lake strategy with Starburst Galaxy
Showing 12 of 26 results
Automated Table Maintenance for Apache Iceberg Tables
July 18, 2024
Table maintenance is necessary for Apache Iceberg tables in order to keep your data optimized and performant. That extra effort is worth the reward...
The unbundling of cloud data warehouses
December 7, 2023
I was listening to the excellent “Data Engineering Podcast” yesterday and the episode was “Surveying The Market Of Database Products” with Tanya Bragin who...
State of data catalogs: The battle for your metadata
October 31, 2023
The writing is on the wall that although vendors will support open file formats such as parquet, orc and avro, table format metadata is highly coveted as the next frontier of lock-in and will be tightly controlled and owned by some vendors while other vendors will continue to offer true open architectures ensuring no data (and now metadata) lock-in…
Comment Starburst Galaxy augmente et optimise votre cloud data warehouse
June 23, 2023
Lire l’article en anglais Snowflake est le grand leader du cloud data warehouse (CDW). Snowflake a été le premier à proposer une plate-forme SQL...
Improving performance with Iceberg sorted tables
April 24, 2023
There are many benefits of using Iceberg tables with Starburst Galaxy and adding the ability to sort tables by columns that are often used for filtering can provide a huge boost in performance and also save a bit on the pocketbook when it comes to cloud storage costs.
How Starburst Galaxy augments and offloads your cloud data warehouse workloads
April 19, 2023
Two of the most common things we hear from companies that went “all-in” on a CDW for their organization are: The cost has risen to out-of-control levels and we must do something about it. We feel like our data is locked in and we are unable to take advantage of the many existing and new technologies
The hidden value of your data lake
March 9, 2023
Almost every company I speak to on a daily basis has some sort of data lake. One thing we can thank from Hadoop was...
Apache Iceberg Time Travel & Rollbacks in Trino
December 7, 2022
This post is part of the Iceberg blog series. Read the entire series: Introduction to Apache Iceberg in Trino Iceberg Partitioning and Performance Optimizations...
Apache Iceberg Schema Evolution in Trino
November 22, 2022
This post is part of the Iceberg blog series. Read the entire series: Introduction to Apache Iceberg in Trino Iceberg Partitioning and Performance Optimizations...
Apache Iceberg DML (update/delete/merge) & Maintenance in Trino
November 17, 2022
This post is part of the Iceberg blog series. Read the entire series: Introduction to Apache Iceberg in Trino Iceberg Partitioning and Performance Optimizations...
Explore A New Way Of Utilizing A Data Lakehouse
November 10, 2022
A data lakehouse combines the principles of a data lake and a data warehouse to include the best of both worlds. Data lakehouses are...
Iceberg Partitioning and Performance Optimizations in Trino
November 8, 2022
This post is part of the Iceberg blog series. Read the entire series: Introduction to Apache Iceberg in Trino Iceberg Partitioning and Performance Optimizations...
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