Cloud computing is one of the most influential technologies of the modern digital era, enabling on-demand access to computing resources across industries worldwide. While often viewed as a recent innovation, the history of cloud computing dates back to the 1950s, when time-sharing systems on large mainframe computers allowed multiple users to share costly hardware. Over time, advancements in networking, virtualization, and standardized internet protocols transformed these early ideas into practical systems for remote computing. The expansion of the internet in the 1990s made it possible to deliver software and services online, leading to early models such as Software as a Service, followed by the emergence of Infrastructure as a Service with the launch of Amazon Web Services in the mid-2000s. The entry of major providers like Microsoft Azure and Google Cloud further accelerated innovation, while technologies such as containers, Kubernetes, hybrid and multi-cloud architectures, and serverless computing reshaped application development. During the COVID-19 pandemic, cloud platforms became essential for remote work, digital collaboration, and business continuity. By 2025, cloud computing had evolved into an intelligent, secure, and sustainable global infrastructure, integrating artificial intelligence, edge computing, quantum services, and industry-specific solutions, firmly establishing its role as the backbone of the global digital economy.For more details visit at - https://www.careerera.com/blog/history-of-cloud-computing

The history of data science reflects a powerful evolution from early statistical foundations to today’s AI-driven world. Originating in the 1960s through the work of pioneers like Tukey and Naur, the field gradually merged statistics with computer science. Milestones such as the rise of statistical computing, KDD, big data technologies like Hadoop, and cloud-native systems accelerated its growth. By the 2010s, AI, machine learning, and deep learning had firmly established data science as a high-impact discipline. Entering 2025, autonomous analytics, LLMs, and multimodal systems define its future. With expanding applications across industries, data science continues to shape innovation and global decision-making. For more details visit at - https://www.careerera.com/blog/history-of-data-science