Software Engineering Daily

Cryptocurrencies like Bitcoin and Dogecoin are electronic currencies with a complete transaction history stored on a blockchain. A cryptocurrency blockchain is a linear record of all the transactions between users for a given currency. This record is public and distributed across thousands of computers, which makes falsifying a transaction nearly impossible because the hacker would

Digital communities have exponentially grown in importance ever since most of the world went remote. Basically every popular online forum, message board, chat app, and other online social aggregators were created before this new normal. Many of these platforms lack sufficient organization or are just outdated for a fully remote environment. If society continues to

Creation Labs is helping bring Europe 1 step closer to fully autonomous long haul trucking. They have developed an AI Driver Assistance System (AIDAS) that retrofits to any commercial vehicle, starting with VW Crafters and MAN TGE trucks. Their system uses camera hardware mounted to the vehicle to capture video data that is processed with

Product teams sometimes double as data teams. They struggle through import errors, scrub long and complicated data sheets for consistency, and map spreadsheet fields on step 3 in a long instruction document. Data structuring and synchronization is a very real problem that product teams regularly overcome.  Flatfile uses AI-assisted data onboarding to eliminate repetitive work

Right now, more than 10 million people use notebooks like Jupyter in their workflow. Notebooks are open-source tools for creating and sharing documents with live code, equations, visualizations and explanatory text. Notebooks like Jupyter have exploded in popularity the past 5 years to become the standard tool for data science teams. They became especially important

Many startups today begin their life as an open-source project. Open source projects allow early adopters of a technology to experiment, to contribute code and feedback, and to shape the evolution of the project in its early stages. When a “community maintainer” company emerges to provide service offerings based on that project, its early customer

ELT, or “Extract, Load, and Transform,” is the process that modern data pipelines use to replicate data from a source and load it into a target system such as a cloud data warehouse. ELT is a more flexible evolution of the traditional “Extract, Load, Transform” workflow used in pre-cloud systems. The power of ELT relies

The complexity of building web applications seems to have grown exponentially in the last several years. This added complexity may bring power, but it can also make applications brittle, costly, and difficult to maintain. Suborbital is an open-source project with a goal of making web application development simple. Its flagship project is Atmo, a platform

Observability is a key feature of a well-architected application. Because building an observability system for a cloud application can be challenging, especially at scale, many organizations elect to use third-party observability platforms rather than build internal tools. But these third-party provider contracts often charge by volume of data collected, which can be unpredictable and difficult

As the volume and scope of data collected by an organization grow, tasks such as data discovery and data management grow in complexity. Simply put, the more data there is, the harder it is for users such as data analysts to find what they’re looking for. A metadata hub helps manage Big Data by providing