This category discusses on basics concepts across latest technology areas like Big data, Cloud computing, Blockchain, Big data, IoT, programming, etc
A product owner plays a significant role in any scrum development and agile project responsible for value maximization, optimization, and backlog management. In an agile project, he or she owns the product plus ensures that the product must meet the user requirement and technical aspects. He communicates and collaborates with the team, which is a…
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..
RAP as a Service is a distribution method that allows you to analyze the environment whenever and wherever you want. The data is gathered online, allowing you to keep your personal information private and complete the evaluation on your terms. We use cryptography to effectively secure the data when submitting data to the cloud and accessing…
Testing is a part of the SDLC process that guarantees quality. Testing may be of many types and depends on the application type. However, testing applications through data has remained the most widely accepted choice, which in other ways is known as data-driven testing. Read more..
Blockchain gained traction with the introduction of Bitcoin that comes with features like peer-to-peer technology and distributed storage ledger. These features are the building blocks of decentralized applications or DApps which are a new type of application. As the name suggests, decentralized applications are neither owned by a central authority nor can be shut down…
Big data analytics is the specialized techniques and technologies used to process a large set of data. On-hand database tools are practically incompatible with processing such a large set of data. That’s where come big data analysis techniques that are useful to solve practical business data problems. Read more..
Artificial Intelligence is the human-defined intelligence mechanism for machines, robots, and a special branch of computer science targeted to create it. The artificial intelligence systems used in businesses can be categorized into the following major categories: expert systems, neural networks, genetic algorithms, and agent-based technologies. Each of these systems has its advantages and disadvantages. Read…
The “Internet of things” (IoT) is becoming an emerging technology in the workplace, as well as outside of it. The concept of IoT is going to change our lives and our work style as a whole. There is an endless opportunity that can be forecasted by using IoT, which may be beyond our imagination. Read more..
SRE is a perfect amalgamation of infrastructure automation with continuous delivery. However, SRE is ideal for cloud-native and SaaS companies. Besides, it offloads many responsibilities related to IT Ops to the development team. Though it sounds quite similar to DevOps, SRE is quite different from DevOps. Read more..
The best practices for DevOps are not only useful to make the project successful but also a standard practice to be followed by the DevOps engineer or any developer working on the project. This is the crucial area that focuses on performing the same task more elegantly. Read more..
Containerization has gained immense popularity these days as it provides a lot more advantages over traditional virtualization. In this context, Docker and Kubernetes have achieved significant attention in the industry for encapsulating applications in their self-contained environments. However, Kubernetes vs. Docker is the most hyped discussion. Interestingly, Kubernetes vs. Docker is often seen as rivals, although they have…
As mobile app development has boomed rapidly, different mobile app development frameworks came into the picture at a different point in time. The latest craze is Flutter development, which has turned into a revolutionary framework for building engaging mobile apps. With Flutter, the possibilities are practically endless. Read more..
The DevOps approach is emerging as the way to maintain the highest quality standards, and at the same time, with a faster time to market. As we expect to see more and more dynamic apps, no doubt, the future belongs to DevOps, keeping up with the fast-changing market demands and user requirements. Read more..
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..
The growth of data is the key driver that is enabling new solutions in the technology space. Based on the data and its storage requirement data storage technologies have been evolved over time. So what about current futuristic data storage technologies on the list? Read more..
Cloud analytics that cobble two terms together, also maintains some substantial differences between on-premise data analysis and cloud-analytics solutions. No doubt, you can do the same analysis on-premises but the power of the cloud can give your access to data quickly and with little maintenance. Read more!
![Industrial Internet of Things [updated]](https://sp-ao.shortpixel.ai/client/to_webp,q_glossy,ret_img,w_436,h_301/https://contenteratechspace.com/wp-content/uploads/2019/04/industrial-internet-things-iot-vector.jpg)
Industrial Internet of Things (IIoT) allows the machine to machine (M2M) communication through smart sensors, actuators. In addition to that, the involvement of advanced Big data analytics radically transforms a dumb device into a source of real-time analytics. However, is Industrial internet of things same as IoT? What are the technicalities working behind? What are…
Big data management is a crucial area which is essential when enterprise data stores are growing exponentially. This is a challenging area too because managing big data is increasingly a demanding area for organizations. Big data management essentially means putting the right technologies, policies, and people in place, so that from the data point of…
Extreme Programming (XP) is a highly disciplined engineering practice that produces an effective and higher quality code in software development. It is often found that teams adopt agile methodology with a different framework and later shifted to extreme programming to get a better result. Read more..
As the need for analytical processing, AI, Machine learning, Industrial IoT, etc has risen, at the same time it demands to deal with the massive amount of data. Not only data, but such data also needs to be processed at a high speed for real-time data analytics and decision making. There comes the need for…