Data Processing

Introduction In today’s fast-paced business world, making data-driven decisions is crucial for success. Real-time analytics has become a game-changer, enabling organizations to analyze and respond to data instantly. According to a survey by Gartner, 70% of organizations will be using real-time analytics by 2025, up from 30% in 2020. In this blog post, we will delve into the technical architecture of real-time analytics, exploring its components, benefits, and best practices. ...

Introduction In today’s world, data is king, and the rate at which it’s being generated is unprecedented. The rapid growth of the Internet of Things (IoT) has led to a significant increase in data generation, with over 41.4 billion IoT devices expected to be connected by 2025 (Source: IDC). Edge computing has emerged as a solution to this problem, enabling data processing closer to the source. However, what are the alternative solutions to edge computing? In this blog post, we’ll explore the options available, their benefits, and their limitations. ...

Introduction In today’s digital age, data is being generated at an unprecedented rate. The proliferation of Internet of Things (IoT) devices, social media, and other digital platforms has led to an explosion of data that requires processing, analysis, and insights. Traditional cloud-based computing models are facing challenges in handling this vast amount of data, leading to increased latency, bandwidth constraints, and reduced efficiency. This is where Edge Computing Analytics comes into play. By processing data closer to its source, Edge Computing Analytics enables faster, more efficient, and more insightful decision-making. In this blog post, we will explore the basic principles of Edge Computing Analytics. ...