Fundamentals of Agile
Agile – as the term suggests defines a throughput oriented, strategic and human resource oriented software development approach. Many say it is an umbrella term which embraces some methodologies and principles. Read more…
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What is Scaled Agile Framework (SAFe) in Agile?
Frameworks like SAFe provide a viable option that helps businesses effectively scale agile within organizations and achieve business goals. The framework promotes the knowledge that includes structured guidance on roles and responsibilities, planning and managing the work, and values to uphold. Read more..
Cloud security challenges and solutions
There are issues related to cloud, among which cloud security is the most significant one which involves technological as well societal issues that act as both drivers and constraints when we consider mass adoption of cloud computing. What are cloud security challenges? and how to address them? Read more..
An Overview of Cloud API
With the gaining momentum of cloud computing, system administrators look for more ways so that they can integrate the existing cloud model with other systems. Additionally, we need more enhanced customization to deal with direct use cases. With the help of a cloud API environment, we can enhance the cloud experience and be compatible with…
What is Synthetic Data in AI?
The article discusses synthetic data, its types, generation methods, and applications. It acknowledges its advantages such as scalability and simplicity in creation, along with its limitations, and envisions synthetic data as a significant tool for the future. Read more..
Big Data Testing: Strategy and Best Practices
Big data must be used strategically. It should be collected, analysed, and retrieved with a proper plan. For this Big data needs various testing procedures to reveal their usage and characteristics. Read more..
5 Types of Machine Learning Algorithms a data scientist must know
Machine learning algorithms are programs that learn from data without human interference. Here learning tasks means learning the function that drafts the input to the output, and instance-based learning, which means learning the hidden structure in unlabeled data. Machine Learning algorithm is an evolution of the regular algorithm. It enables your programs to be “smarter,”…
