Iceberg at Netflix and Beyond with Ryan Blue

Apache Iceberg is an open source high-performance format for huge data tables. Iceberg enables the use of SQL tables for big data, while making it possible for engines like Spark and Hive to safely work with the same tables, at the same time. Iceberg was started at Netflix by Ryan Blue and Dan Weeks, and The post Iceberg at Netflix and Beyond with Ryan Blue appeared first on Software Engineering Daily.

Starburst is a data lake analytics platform. It’s designed to help users work with structured data at scale, and is built on the open source platform, Trino. Adam Ferrari is the SVP of Engineering at Starburst. He joins the show to talk about Starburst, data engineering, and what it takes to build a data lake. The post Building a Data Lake with Adam Ferrari appeared first on Software Engineering Daily.

Building scalable software applications can be complex and typically requires dozens of different tools. The engineering often involves handling many arcane tasks that are distant from actual application logic. In addition, a lack of a cohesive model for building applications can lead to substantial engineering costs. Nathan Marz is the creator of Rama, which is The post Rama with Nathan Marz appeared first on Software Engineering Daily.

SurrealDB is the result of a long-time collaboration between brothers Tobie and Jaime Morgan Hitchcock. The project has modest origins and started merely to support other projects the brothers were working on. However, over time the project grew and in 2021  they started working on it full-time. Since then the project has gained serious adoption. The post Bonus Episode: SurrealDB with Tobie Morgan Hitchcock appeared first on Software Engineering Daily.

Maritime logistics is the process organizing the movement of goods across the ocean. Historically, this has been a challenging problem because of the multinational nature of shipping, as well as piracy, smuggling, and legacy technology. It’s also profoundly important for security reasons, and because 90% of what we buy travels over the oceans. Ocean vessels The post Tracking Drug Smugglers and Migrating Databases with Benny Keinan and Lior Resisi appeared first on Software Engineering Daily.

Data breaches at major companies are so now common that they hardly make the news. The Wikipedia page on data breaches lists over 350 between 2004 and 2023. The Equifax breach in 2017 was especially notable because over 160 million records were leaked, and much of the data was acquired by Equifax without individuals’ knowledge The post The Right to Be Forgotten with Gal Ringel appeared first on Software Engineering Daily.

If you’re a sports fan and like to track sports statistics and results, you’ve probably heard of Sofascore. The website started in 2010 and ran on a modest single server. It now has 25 million monthly active users, covers 20 different sports, 11,000 leagues and tournaments, and is available in over 30 languages.   Josip The post Sofascore with Josip Stuhli appeared first on Software Engineering Daily.

Cloud-based software development platforms such as GitHub Codespaces continue to grow in popularity. These platforms are attractive to enterprise organizations because they can be managed centrally with security controls. However, many, if not most, developers prefer a local IDE. Daytona is aiming to bridge that gap. It’s a layer between a local IDE and a The post Daytona with Ivan Burazin appeared first on Software Engineering Daily.

Knowledge graphs are an intuitive way to define relationships between objects, events, situations, and concepts. Their ability to encode this information makes them an attractive database paradigm. Hume is a graph-based analysis solution developed by GraphAware. It represents data as a network of interconnected entities and provides analysis capabilities to extract insights from the data. The post GraphAware with Luanne Misquitta appeared first on Software Engineering Daily.

Observability software helps teams to actively monitor and debug their systems, and these tools are increasingly vital in DevOps. However, it’s not uncommon for the volume of observability data to exceed the amount of actual business data. This creates two challenges – how to analyze the large stream of observability data, and how to keep The post Chronosphere with Martin Mao appeared first on Software Engineering Daily.