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Author

Evan Smith

Technical Content Manager, Starburst Data

Evan Smith is a Technical Content Manager 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 his 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 12 of 21 results

What is a data lake?

What is a data lake?

November 12, 2024

This article defines what data lakes are, why they are important, and how they compare to other big data storage technologies, including:  Databases Data...

5 ways to simplify ETL using SQL

5 ways to simplify ETL using SQL

October 31, 2024

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...

What is Trino?

What is Trino?

September 25, 2024

Trino is more popular than ever, but what is it? Let’s start with a definition. Trino is a massively parallel processing, distributed SQL query...

Apache Iceberg vs Delta Lake: What are the differences?

Apache Iceberg vs Delta Lake: What are the differences?

September 16, 2024

The cloud data lakehouse is gaining momentum, driven by the evolution of table formats like Apache Iceberg, Delta Lake, and Hudi. With improved transactional...

Compute cost best practices: How to optimize data costs across all architectures

Compute cost best practices: How to optimize data costs across all architectures

August 27, 2024

Rising compute costs are often the unwanted price of success in the data world. Usage-based pricing models mean that the more data you use,...

3 Data Ingestion Best Practices: The Trends to Drive Success

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 accelerates competition for compute engines

Why Apache Iceberg accelerates 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

Reduce Snowflake compute costs with Starburst Galaxy

May 14, 2024

Snowflake has always promised all the power of a data warehouse with the infinite scalability of the cloud. We could call this the “data...

5 Challenges of data warehouses

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?

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?

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

A data lakehouse as a hybrid solution

October 17, 2023

Data lakehouses are a hybrid solution that combines the functionality of data lakes, data warehouses, and databases into a single technology, while accessing data in...

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