Cookie Notice
This site uses cookies for performance, analytics, personalization and advertising purposes.
For more information about how we use cookies please see our Cookie Policy.
Manage Consent Preferences
These cookies are essential in order to enable you to move around the website and use its features, such as accessing secure areas of the website.
These are analytics cookies that allow us to collect information about how visitors use a website, for instance which pages visitors go to most often, and if they get error messages from web pages. This helps us to improve the way the website works and allows us to test different ideas on the site.
These cookies allow our website to properly function and in particular will allow you to use its more personal features.
These cookies are used by third parties to build a profile of your interests and show you relevant adverts on other sites. You should check the relevant third party website for more information and how to opt out, as described below.
Evan Smith is a Technical Curriculum Developer who writes and records educational content for Starburst Academy. Before working at Starburst, he held a variety of technical communication and university teaching roles. Once upon a time, he worked as an academic researcher and teaching assistant in English Literature and Theory. He blends this love of writing, learning, and communication with a fascination for the technical and enjoys conveying complex topics in clear, readable ways.
Check out his favorite courses on Starburst Academy:
Showing 7 of 7 results
Data lakehouses, also known as modern data lakes, are a hybrid solution that combines the functionality of data lakes, data warehouses, and databases into...
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.
Adopting a data lakehouse architecture over a traditional data warehouse comes with many business benefits. In fact, these differences are often the key reason that organizations make the transition from older technologies to modern ones. Let’s explore the business case for the adoption of a data lakehouse, also known as modern data lake, and see how it can improve versatility, maintain performance, and reduce costs. To do this, we’ll compare the differences between a data warehouse and data lake then discuss the hybrid advantage of a data lakehouse.
Data federation enables seamless data access across multiple sources without centralization. Connect, analyze, and drive business insights efficiently with a wide range of connectors and enhanced options.
ETL operates as the engine behind the data pipeline process, moving data from a raw state to a consumable one. Let’s unpack the way in which this typically operates in a modern data lake or data lakehouse. Later, we’ll take a tour to see how Starburst Galaxy fits in this picture and how it can be used to construct the Land, Structure and Consume layers typical of a modern data lake.
Data mesh has many advantages for organizations that use it to change their business processes towards a decentralized model. We highlight 10 benefits and challenges of data mesh.
Data products have many benefits. They create a new, curated way of interacting with datasets and place team collaboration and business questions at the forefront of data analysis. Businesses adopt data products for many reasons, including ease of use, improved data reliability and trustworthiness, and new opportunities for cross-functional sharing.
© Starburst Data, Inc. Starburst and Starburst Data are registered trademarks of Starburst Data, Inc. All rights reserved. Presto®, the Presto logo, Delta Lake, and the Delta Lake logo are trademarks of LF Projects, LLC
Up to $500 in usage credits included