I am a technology writer with a strong passion for my profession, fortunate enough to picture good and bad of tech world with tips, tricks, challenges and their solutions.
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It is no secret that cloud migration offers numerous benefits, such as increased agility, scalability, and cost-effectiveness. According to a survey, 83% of enterprise workloads will be in the cloud by 2020, indicating the rapid pace of cloud adoption.
Mobile app development has become an essential part of the digital ecosystem as mobile devices have become more prevalent than desktops or laptops. Regarding mobile app development, two popular approaches are Xamarin and native mobile app development.
Effective enterprise data management is crucial for modern organizations. It helps drive informed decision-making, achieve operational efficiency, ensure data integrity, and comply with regulatory requirements.
In today's global marketplace, supply chains have become increasingly complex, with businesses relying on suppliers worldwide to deliver products and services to their customers. While this has opened new growth opportunities, it has created unknown risks and challenges.
The Internet of Things (IoT) has revolutionized how businesses operate in recent years. With the ability to connect devices and sensors, IoT technology has opened new possibilities for fleet management
As we move into 2023, retail businesses seek new ways to gain a competitive edge. One of the most effective ways to achieve this is through business intelligence tools, particularly dashboards. Dashboards provide a centralized view of critical business metrics and key performance indicators (KPIs), allowing retailers to monitor their real-time performance and make data-driven decisions.
Selecting the proper iOS testing framework is essential for ensuring the quality of your iOS application. With so many options available, choosing the best one for your needs can be overwhelming. Here are some key factors to consider when selecting an iOS testing framework:
In today's digital world, data has become a crucial asset for businesses of all sizes. However, collecting vast amounts of data is insufficient to gain a competitive advantage. Companies must also have a robust data engineering strategy to leverage data power completely
Python has become one of the most popular programming languages in recent years thanks to its versatility and ease of use. It has many libraries, making it an excellent choice for data analysis and visualization. Some of the most popular Python data visualization libraries are Matplotlib, Seaborn, Plotly, Bokeh, and ggplot.
You would agree that technology today is a crucial part of the tourism and travel industry. It helps businesses with day-to-day operations while improving the customer experience. And for this very reason, hotels, airlines, restaurants, and other companies should keep up with the latest technology trends within the travel industry.
Microsoft Azure Machine Learning (ML) enables companies to overcome challenges while deploying and using machine learning. It helps deliver comprehensive machine learning services that offer add-on benefits of the cloud.
Cloud computing has transformed the insurance industry by providing a flexible and scalable infrastructure that can handle the increasing demands of data storage, processing, and analysis
With React Native becoming one of the preferred tools for developing mobile and web apps, there has been a growing focus on outsourcing software development based on this language
Cloud computing has revolutionized businesses' operations, offering unprecedented agility, scalability, and cost-efficiency. However, as more and more organizations move their workloads to the cloud, managing and optimizing cloud resources has become increasingly complex and challenging.
In recent years, the Internet of Things (IoT) has become a game changer in various industries, and traffic management is no exception. With the rapid increase in urbanization and the growing number of vehicles on the road, traditional traffic management systems struggle to keep up with the demand
In today's data-driven business landscape, implementing an effective data warehouse is essential for organizations to make informed decisions and gain a competitive edge.
Java is a widely-used programming language that has become increasingly important for various industries. Its portability, security, and scalability have made it popular for developing enterprise-level applications, web applications, mobile apps, and more
AR or Augmented Reality blurs the line between the real world and imagination, transforming how people shop, work, play, learn and connect with the world around them. It provides a way to visualize the world in the way that people can imagine it to be.
In 2023, app modernization is essential to keep up with the rapidly changing technology landscape and evolving customer needs. Modernizing legacy applications can improve performance, security, scalability, and agility while reducing maintenance costs
Modern enterprises face challenges in today's continually and quickly evolving market. Among these challenges is software product development, wherein companies must grapple with managing complexity, meeting customer demands, ensuring quality, controlling costs, keeping up with technology, managing teams, and ensuring compliance.
Python is currently one of the most in-demand programming languages in the world. This popularity has led many people to consider if they can put it to work for their development projects. It is a universal programming language with various applications across various industries.
People worldwide use mobile applications for almost everything, from online banking to e-commerce and social media to healthcare. Mobile applications offer convenience and a seamless user experience.
A growing number of companies are eagerly looking for modern solutions to help them effectively and efficiently manage and leverage their data. The answer to that question, then, is a data warehouse. Building a data warehouse requires careful planning, design, and implementation.
Business intelligence (BI) is a technology-driven process that utilizes data analysis tools and applications to gather, integrate, analyze, and present business information