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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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Using SQL for ETL offers many advantages. To help understand how it's best to look at the ETL process more broadly. Data pipelines use...
The Trino open source distributed query engine is known as a choice for running ad-hoc analysis where there’s no need to model the data and...
You’ve hired pedigreed data scientists and engineers, invested in shiny new software, and perhaps even reorganized your entire business, all in the hopes of...
Lyft operates one of the largest transportation networks in the world. A business like ours depends on data on so many levels. Data relating...
Most organizations have data and continue to generate and collect it on a daily basis, but have a far more difficult time in getting...
Last week in San Francisco was one for the Trino history books. After three years of planning, rescheduling, planning, and rescheduling some more, Starburst...
Best-in-class SQL query functionality has always been and remains a fundamental principle that defines Starburst’s query engine. With the recent implementation of full query...
Starburst has played a key role in the Trino community for a long time now. We contribute to the success of Trino every day....
Data indexing radically accelerates query run time and concurrency without the need for massive compute resources. But before expecting indexing to solve all your...
When optimizing your analytics database performance, one of the most important decisions is to choose how data is stored and accessed. There are two...
One of the true pillars of the tech revolution, PostgreSQL is an OLTP database designed primarily to handle transactional workloads. The technology has been...
Mission 2 Wrap and Mission 3 Launch We all know at least one pandemic puzzler, a devoted crossworder, or a religious wordler who finds...
Before I joined Starburst, I worked in the AdTech industry where companies buy and sell user data for online targeting advertisement campaigns or ML/AI-based...
As a business begins to see the challenges of distributed data access, the selection of a query engine becomes critical for business operations. For...
Recently, I had the pleasure of chatting with Ravit Jain on his show “The Ravit Show” to discuss the evolution of Trino and where...
This is Part 1 of a 2-part blog about how Trino can support both interactive and batch use cases. In Part 1, we will...
A key engineering responsibility at Starburst is on performance enhancements. One is to reduce the amount of time that a CPU has to work...
So why use a big data SQL query engine? Well, have you suffered from the following problems with processing and analyzing big data via...
Starburst released the 2021 State of Data market research report, conducted by Enterprise Management Associates (EMA), in collaboration with Red Hat, early last year....
Summary Use the right tool for the right job. Not doing so means the difference between your Tableau viz rendering in seconds vs. minutes...
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...
In the data analytics and compliance world, data sovereignty is a concept that has our attention. Policy makers suggest that the best way to...
The idea of a single source of truth has been around since the beginning of big data. However, over the years, through the data...
Analysts are often tasked with deriving insights for business units where the data can span multiple locations. This is increasingly true today when the...
By leveraging Starburst, Assurance was able to improve conversion rates, reduce costs, and enable robust modeling. Read the full case study here. ...
At our Datanova for Data Scientists conference on July 14, I held a discussion with Dain Sundstrom and David Philips, CTOs of Starburst, about...
My fascination with SQL query performance started quite some time ago and I contributed a paper on efficient processing of data warehousing during my...
What is Kafka? Apache Kafka was created at LinkedIn and open sourced into the Apache Software foundation in early 2011. Kafka was developed to...
Thirty years ago it was already commonplace for large businesses to have hundreds --- even thousands of different database instances managing data from the...
The world of data analysis is constantly changing and evolving, and sometimes it can be hard to keep up with. I had the pleasure...
The media and telecommunications provider now known as Comcast began as a regional operator with just five channels and 12,000 customers. Today, Comcast has...
Note: I start this piece with some technical background that has nothing to do with the data mesh, and is only relevant to data...
In today’s data architecture economy, there are no shortages of options when it comes to choosing various distributions and deployment strategies for a given...
One of the things that really drew me to and got me excited about Trino over 4 years ago was that it wasn’t tied...
A few days ago I read a Gartner report stating that data scientists spend 23% of their time on data collection and preparation. I...
Kubernetes (K8s) eases the burden and complexity of configuring, deploying, managing, and monitoring containerized applications. We are excited to announce the availability and support...
Nirvana - a state of perfect happiness; an ideal or idyllic place. In big data “Nirvana” is a wishlist of items: The ability to...
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