Data governance and management is a term that has become more commonplace in recent years. However, many organizations are still struggling with how to implement effective data governance and management strategies. This lack of focus is becoming more and more apparent as the importance of data management continues to grow. Here are the four key pillars that will help you successfully implement your data governance strategy.
Midnight, December 31, 1999, marked the beginning of a millennium where aircrafts would not fall out of the sky and bank ATMs would not spew millions of dollars from their cash withdrawal slots. Preemptive software testing and remediation on a global scale provided the automated world with some assurance that the machines would continue to run as they had for decades.
Software testing is the process of checking the quality of a product before launching. It measures the software's completeness to the single functional (or non-functional) attributes and whether it has fulfilled the business logic or shown us the missing gaps in requirements that need immediate tackles. Software testing is an integral part of the software development life cycle. Over time, software testing activities have evolved to meet the ever-increasing complexity of applications.
Every software engineer dreams of the day when they can simply type English-language sentences into a development platform and out pops a new, production-ready app. The app will be free of bugs because the natural language processing (NLP) functionality of the platform will have automatically created the test cases, run the tests, and self-corrected for changes to the app features. AI researchers in software testing are heavily invested in making testing as autonomous and natural as possible.
Variables are a fundamental aspect of any programming language, and Python is no exception. As we already know, python variables are used to store values, which can then be utilised in your program. The values can be of different data types, such as integers, strings, lists, dictionaries, and more. Are you familiar with the different types of variables in Python and when to use them?
In this post, we’ll talk about what APISecOps is, including the fundamentals of it and the personas involved. Then, we’ll discuss how API, microservice, and policy lifecycles integrate to produce a secure service in production, and why collaboration and API-Design First are essential for APISecOps success.
Looking to develop more APIs faster (and securely)? Then you have some different API platform deployment models to consider. In this post, we’ll define and compare the siloed, centralized, and federated API platform deployment models — and dive into why federated API management is key to striking a balance between agility and governance.
What is the difference between Angular vs AngularJS? AngularJS is the most primitive version of Angular that was developed by Google and is one of the oldest front-end frameworks for building SPAs. However, Google recently dropped support for AngularJS which makes Angular the obviously better choice out of the two. However, there are still some projects that use AngularJS and it can be helpful to understand the differences between the two in case you wish to migrate to Angular.
As a product analytics solution, establishing a strong sense of trust is vital to what we do. It provides the foundation for the relationships we build with our clients, which in turn allows our clients to confidently provide the services they need to their customers. Data privacy and security are both key components of building a level of trust that is essential for both our customers and ourselves as a company.
