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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 12 of 17 results
3 Data Ingestion Best Practices: The Trends to Drive Success
July 11, 2024
It’s time to talk about data pipelines, specifically data ingestion best practices. Typically, a data engineering pipeline has three stages: Data Ingestion Data Transformation...
Why Apache Iceberg will accelerate competition for compute engines
June 13, 2024
Apache Iceberg emerged last week triumphant, having won the race to become king of the data lakehouse. In many ways, this was a long...
Reduce Snowflake compute costs with Starburst Galaxy
May 14, 2024
The promise of Snowflake has always been the same–all the power of a data warehouse with the infinite scalability of the cloud. We could...
What’s the difference between Iceberg vs Delta Lake?
January 15, 2024
Apache Iceberg and Delta lake are both members of a new generation of data lakehouse technologies built to drive data warehouse functionality and performance...
5 Challenges of data warehouses
December 15, 2023
Many companies choose to use data warehouses, either on their own or alongside other data solutions. Whether or not a data warehouse is the...
What is the value of a data lakehouse?
December 1, 2023
In this post, we take a look at the advantages that data lakehouses hold regarding: (1) performance, (2) cost, (3) flexibility, and (4)compliance. Increased performance Benefits...
What is the difference between database and schema?
December 1, 2023
Data must be structured before it is moved into a data warehouse. Let’s examine how data in data warehouses is typically structured, and how...
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...
What are the advantages of a data lake?
October 1, 2023
This type of repository has various benefits over traditional data storage techniques. Let’s take a look at what data lakes can do. Data lakes...
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.
A single point of access to all your data
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