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Lester Martin
Educational Engineer, Starburst
Showing 9 of 9 results
What’s next for Trino
July 3, 2024
It seems like only yesterday that Trino celebrated being around for a decade. Born out of Facebook to address the need for improved performance...
Why partitioning matters: 3 Best practices to improve performance
June 5, 2024
Imagine that your desk resembled the above image. Now you need to find all the invoices for a particular month to calculate your average...
Top 5 reasons to not adopt Apache Iceberg
May 22, 2024
Apache Iceberg is becoming increasingly popular and is turning into the de facto standard for table formats. The first-ever Iceberg Summit was held this...
Data migration: Maximizing value with SQL, Trino, and Starburst
March 25, 2024
Data migration, pivotal in the big data digital transformation era, involves the strategic transfer of data across systems. It's not just about moving data;...
Ibis and Trino
December 12, 2023
A bird and a bunny walk into a bar... The bird says, “I’m the Python dataframe library with tons of optionality”. The bunny says,...
An introduction and integration: Delta Lake in Starburst Galaxy
October 12, 2023
Delta Lake was initially developed by Databricks and by 2019 evolved to become an open source project. Since then, they’ve created a few key...
PyStarburst: the DataFrame API
October 5, 2023
Let’s take a quick tour of the DataFrame API implementation with Python that runs the code ultimately as SQL on Starburst Galaxy. You’ll see the rich API that is available to data engineers who prefer to write programs over SQL.
5 amazing videos: Building a SQL-based data pipeline with Trino & Starburst
September 26, 2023
If you’re a data engineer tasked with building and managing data pipelines, Starburst Galaxy enables you to build a data pipeline workflow using modern data lakes and SQL. This approach offers both simplicity and power. What might have required a complex, user defined function (UDF) in Python using other systems can be accomplished with the accessibility and universality of SQL alongside the ease and cost effectiveness of the data lake.
Tutorial: Using Starburst Galaxy’s materialized views with Apache Iceberg
May 12, 2023
Materialized views have become available in Starburst Galaxy for catalogs using Great Lakes connectivity. For folks who are NOT already using Starburst Galaxy — come sign up — it’s FREE — especially if you want to exercise the content in this blog post.
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