Systems | Development | Analytics | API | Testing

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How to Search Your Cloud Data - With No Data Movement

Organizations are building data lakes and bringing data together from many systems in raw format into these data lakes, hoping to process and extract differentiated value out of this data. However, if you’re trying to get value out of operational data, whether on prem or in the cloud, there are inherent risks and costs associated with moving data from one environment to another.

Exploratory testing for non-functional requirements: Beginner's guide

In the past, testing for non-functional requirements (NFR) was often neglected, done to the extent possible at the end of the life cycle. For modern development teams, that is no longer an option - to deliver high-quality applications, they have to implement a comprehensive testing strategy with proper allocation of resources to both functional and non-functional components.

Understanding eBPF in Sevice Mesh with Ahmed

Why have we not created a service mesh in the kernel before? Some people have been semi-jokingly stating that kube-proxy is the original service mesh. However, it is not enough. So what's next? Since eBPF code can be inserted at runtime into an existing Linux kernel similar to a Linux kernel module, but unlike a kernel module, it can be done in a secure and portable manner. This allows for eBPF implementation to continue to evolve with the service mesh community.

What is a Data Catalog? Features, Best Practices, and Benefits

A data catalog is a central inventory of organizational data. It provides a comprehensive view of all data assets in an organization, including databases, tables, files, and data sources. Efficiently managing large amounts of information is crucial for companies to stay competitive. This practice is especially applicable to large organizations with scattered data.

What is the Augmented Consumer? Understanding Users of AI Analytics

The rise of AI-powered features in today’s analytics solutions has increasingly displaced our reliance on dashboards by making it easier for business people to analyze their data. With this rising paradigm shift, a new label has emerged: The augmented consumer. On a surface-level, the word ‘augmented’ may conjure up a variety of different interpretations. AI-based dashboard assistants? Natural language-led reporting?

Episode 5: Data democratization and readiness for AI | Powell Industries

The key to breaking down data silos and fostering innovation goes well beyond having the right technology. It’s the people and processes that truly drive change. Ajay Bidani, Data and Insights Manager at Powell Industries, shares his perspective on how a strong, inclusive data culture is fueling the manufacturer’s global success.

Unlocking Efficiency and Innovation Navigating JIRA Cloud Migration for Enhanced Project Management

In today’s dynamic business world, seamless transitions between application life cycle management systems (ALM) are crucial for organizations striving to optimize workflows and enhance productivity. JIRA, a robust and versatile project management tool, often becomes the best choice for teams seeking efficient task management, issue tracking, and collaboration capabilities.

Evolution and Examples of Digital Banking Transformation

In 2023 and beyond, leveraging digital banking transformation will continue to be a prominent. How? Well, technology, like its influence on other emerging markets, is gradually transforming the field of financial services in every manner. However, the sector has a long road ahead, as banks are still experimenting digitally. Meanwhile, consumer behavior and demands have also evolved to a great extent.