Engineering data management is a key skill for data analysts who handle complex datasets across engineering systems. This field involves processes for managing, organizing, and optimizing data generated by engineering teams, such as IoT device data, operational metrics, and manufacturing details.

Learn how CHS Inc., Pitney Bowes and Envision Pharma use Fivetran for high-volume database replication to streamline operations, drive growth and save money.

In today's data-driven landscape, data analysts rely on powerful database management tools to organize, query, and extract insights from vast datasets. With a multitude of options, choosing the right tool can significantly impact efficiency and performance. Tools like MySQL Workbench, SQL Server Management Studio, and Google BigQuery provide robust platforms for relational data management, while options such as MongoDB Compass cater to unstructured data needs.

If you’re working in the data space today, you must have felt the wave of artificial intelligence (AI) innovation reshaping how we manage and access information. One of the areas affected is data catalogs, which are no longer simple tools for organizing metadata. They’ve evolved dramatically into powerful, intelligent systems capable of understanding data on a much deeper level.

Forrester’s Global Retail E-Commerce Forecast, 2024 to 2028, predicts global online retail sales will rise from $4.4 trillion in 2023 to $6.8 trillion by 2028. Despite this increase, 76% of retail sales ($21.9 trillion) will remain offline by 2028. To remain competitive, retailers are enhancing their omnichannel strategies by seamlessly integrating online and offline experiences.

Rack is the foundation for every popular Ruby web framework in existence. It standardizes an interface between a Ruby application and a web server. This mechanism allows us to pair any Rack-compliant web server (such as Puma, Unicorn, or Falcon) with any Rack-compliant web framework (like Rails, Sinatra, Roda, or Hanami). Separating the concerns like this is immensely powerful and provides a lot of flexibility. It does, however, also come with limitations.

Developer Experience (DevEx) is a general term that encompasses all of the interactions a developer has with their work environment. The tools that a developer uses, the processes they employ, and even the organizational culture, all play a role in establishing a great Developer Experience – or, unfortunately, a bad one.