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Evan Smith
Technical Curriculum Developer
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:
- Exploring Data Products
- Exploring Data Lakehouses
- Exploring Data Lakes
Showing 7 of 7 results
A data lakehouse as a hybrid solution
October 17, 2023
Data lakehouses, also known as modern data lakes, are a hybrid solution that combines the functionality of data lakes, data warehouses, and databases into...
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.
The benefits of a data warehouse vs. data lake vs. data lakehouse
August 29, 2023
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.
How does data federation work?
August 3, 2023
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.
Data pipelines and data lakes: Transforming raw data into actionable insights
July 20, 2023
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.
10 benefits and challenges of data mesh
May 30, 2023
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.
Top 12 benefits of data products for users and the business
May 23, 2023
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.
A single point of access to all your data
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