Systems | Development | Analytics | API | Testing

Latest News

Metadata Management & Data Governance with Cloudera SDX

In this article, we will walk you through the process of implementing fine grained access control for the data governance framework within the Cloudera platform. This will allow a data office to implement access policies over metadata management assets like tags or classifications, business glossaries, and data catalog entities, laying the foundation for comprehensive data access control.

Generating Dynamic IDs in JMeter for Enhanced Test Automation

In JMeter, generating dynamic IDs that can be used in subsequent steps of your test plan is a common requirement, especially when testing applications that require unique identifiers for transactions or user sessions. Here are several methods to generate and use dynamic IDs in JMeter.

Introducing Identity Server 7.0 - The Most Powerful and Developer-Friendly Release Yet

WSO2 Identity Server is the leading open source IAM solution. It is a powerful, modern access management solution for your on-premises or cloud environment that provides secure access for your consumers (B2C), enterprise customers (B2B), workforce (B2E), or APIs. WSO2 Identity Server manages more than 1 billion identities worldwide, and its extensibility allows it to support the most complex IAM requirements.

iOS Core Data Explained: Storing data using Swift

Core Data enables us to manage the model layer of an Apple application. This layer is a crucial part of our app’s engine room, allowing the pretty bits at the front end to interact with the data and business logic at the back. We love Core Data because it provides a powerful database technology framework, and it’s built on top of the SQLite management system, which requires zero configuration or external storage space.

API First Development | Why API-First Development Matters

Jeremy H - March 4, 2024 API-first development prioritizes designing and building application programming interfaces (APIs) before any other components of the application. This approach ensures that APIs, which allow different software systems to communicate, are central to the development process.

Manage API Access More Seamlessly

The Kong Konnect team recently launched the Portal Management API, which allows users to manage their Developer Portals with one API. That means you can easily manage your portal settings, appearance, application registrations, and registration settings easier than before. In this blog, I’ll walk you through two scenarios that we expect the portal management API can help streamline.

SFTP Setup: Securing Your File Transfers

Data integration is a vital practice for organizations seeking to leverage the wealth of information available to them. To achieve this, it's crucial to establish a seamless method of sending data from multiple sources to a centralized repository, such as a data warehouse. One commonly employed solution is SFTP (Secure File Transfer Protocol). In this comprehensive guide, we'll delve into the details of SFTP, explaining what it is and how to configure it securely for file transfers.

Balancing Risks and Rewards for Outsourcing QA: What You Need to Know

There are a few universal truths modern quality assurance (QA) teams have to acknowledge. While all of these are true, the expectation that QA teams can deliver new and existing bug-free features with aggressive time and cost constraints without support is unrealistic. Additionally, several in-house teams struggle to hire and retain specialized testing expertise.

Oracle vs MySQL: An In-Depth Comparison of Database Titans

Both MySQL and Oracle provide the same architecture and use the relational model, and both offer many standard features such as indexing, vertical scalability, and support for popular operating systems. However, there are some critical differences between the two tools. Deciding between them can shape an enterprise’s data management and directly impact its success.

Best 10 Free Datasets for Manufacturing [UPDATED]

The manufacturing industry can benefit from AI, data and machine learning to advance manufacturing quality and productivity, minimize waste and reduce costs. With ML, manufacturers can modernize their businesses through use cases like forecasting demand, optimizing scheduling, preventing malfunctioning and managing quality. These all significantly contribute to bottom line improvement.