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The advent of the data mesh has changed the way organizations manage and utilize data. It’s not expected to go away anytime soon. Data mesh, in short, is a popular approach to data management in the enterprise. Its primary goal is to empower teams, especially cross-functional ones. In this article, we'll delve into what data mesh is and explore its key principles. We'll also discuss some benefits of implementing this modern data mesh approach in your organization.

A look at what Arrow is, its advantages and how some companies and projects use it. Over the past few decades, using big data sets required businesses to perform increasingly complex analyses. Advancements in query performance, analytics and data storage are largely a result of greater access to memory. Demand, manufacturing process improvements and technological advances all contributed to cheaper memory.

Data challenges resulting from expanding product catalog solved with Aiven for Apache Kafka® on Google Cloud.

In a previous post, we talked about synonyms and their importance for providing a great search experience. Using synonyms improves search results by: Search results need to evolve over time. New items go on sale, new trends change what users search for, and new terms become part of a search domain. Our search experience must evolve as well. As part of evolving our search experience, it's important to keep our synonyms updated.

Amazon RDS or Relational Database Service is a collection of managed services offered by Amazon Web Services that simplify the processing of setting up, operating, and scaling relational databases on the AWS cloud. It is a fully managed service that provides highly scalable, cost-effective, and efficient database deployment.

Deploy a JAMstack web application on Netlify with data services provided by Aiven!

Arif Rakham, Technical Lead and Senior Software Engineer at eFishery, shares insights into his career path and how he’s built a creative tech team.