Systems | Development | Analytics | API | Testing

According to a study by Statista, the cloud storage market was valued at $90.17 billion in 2022 and will reach a value of $472.47 billion by 2030. These figures indicate a growing shift toward cloud computing and data storage solutions. A typical scenario in modern data management involves data transfer from cloud storage to cloud-based computing platforms. Amazon’s Simple Storage Service (S3) is among the go-to options for the former, and businesses trust Snowflake for the latter.

Considering BigQuery vs. Redshift for your data warehousing needs? This guide is for you. Both BigQuery and Redshift stand as leading cloud data warehouse solutions each offering a multitude of features catering to multiple use cases. Google’s BigQuery offers seamless scalability and performance within its cloud platform, while Amazon’s Redshift provides great parallel processing and tuning options.

In this article, we present some best practices and key concepts for using Confluent Schema Registry.

Managed File Transfer (MFT) stands as a cornerstone in the secure and efficient exchange of data across organizations, modernizing traditional methods and ensuring compliance with global data protection standards. Here are the five key takeaways from our What is MFT article.

Javascript Object Notation (JSON) is becoming the standard log format, with most modern applications and services taking advantage of its flexibility for their logging needs. However, the great flexibility for developers quickly turns into complexity for the DevOps and Data Engineers responsible for ingesting and processing the logs. That’s why we developed JSON FLEX: a scalable analytics solution for complex, nested JSON data.

Securing your API gateway is critical to protect your services from unauthorized access and ensure safe data transmission. In this article, we’ll explore the essentials of API gateway auth, discuss the major authentication methods, and offer guidance for implementing and overcoming challenges in API gateway authentication—providing you with the knowledge to keep your digital assets secure.

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices.

Data governance refers to the strategic management of data within an organization. It involves developing and enforcing policies, procedures, and standards to ensure data is consistently available, accurate, secure, and compliant throughout its lifecycle. At its core, data governance aims to answer questions such as.

In this blog post we are going to be looking at the Throughput Controller. Its name is a little misleading as it does not control the throughput in terms of managing load across the duration of a test, this is handled by elements such as the Constant Throughput Timer.

Picture this: you’re testing online registration forms, and you need to ensure that every input field in the form is working as expected. To do this, you build a manual test for one input field. And then another for a second. And then another for a third…and so on. Thankfully, this scenario isn’t likely to come true, and it’s all thanks to data-driven testing.