Data Automation with AI/ML: A Comprehensive GuideData ScienceTech by Sunny Srinidhi - November 28, 20240 The article discusses the transformative impact of artificial intelligence (AI) and machine learning (ML) on data automation, enhancing efficiency, decision-making, and scalability in businesses. It explores trends like generative AI, AutoML, data governance, and democratization while providing real-world applications across various industries, ultimately guiding businesses in effective AI/ML integration.
Real-Time Data Processing: Understanding the What, Why, Where, Who, and HowData ScienceTech by Sunny Srinidhi - October 22, 20240 In today’s data-driven world, businesses and organizations are continuously generating massive amounts of data. While processing data in batch mode remains useful, the need for instant decision-making has led to an increasing focus on real-time data processing. This article delves into what real-time data processing is, why it's essential, its various applications, the tools used to achieve it, trends shaping its evolution, and real-world use cases. What is Real-Time Data Processing? Real-time data processing refers to the capability to continuously ingest, process, and output data as soon as it is generated, with minimal latency. Unlike batch processing, which collects and processes data in large groups at set intervals (e.g., daily or hourly), real-time processing works with data immediately as it becomes available,
The Trend of Cloud Repatriation: Moving Back to On-Premises InfrastructureData ScienceTech by Sunny Srinidhi - October 16, 2024October 16, 20240 In recent years, a shift in IT infrastructure strategies has seen many companies moving workloads away from public cloud services and back to on-premises setups or private cloud environments. This movement, known as "cloud repatriation," is driven by various factors that range from cost management to performance, security, and compliance concerns. While public cloud adoption surged over the past decade, the limitations of this model have led organizations to reconsider their approach, resulting in a hybrid IT strategy combining both on-premises and cloud resources. Why Companies Are Moving Back to On-Premises 1. Cost Considerations One of the most prominent factors driving cloud repatriation is the realization of the high costs associated with public cloud services. While the cloud offers scalability and flexibility, many companies
Exploring the Inner Workings of Google BigQuery: A Deep Dive into Design, Competitors, Use Cases, and Pros/ConsData Science by Sunny Srinidhi - March 13, 2024March 13, 20240 Discover the inner workings of Google BigQuery, a game-changer in big data analytics. Unravel its architecture, including the prowess of its distributed query engine, Dremel, and the innovative Capacitor technology. Compare it with competitors, explore diverse use cases from real-time analytics to healthcare, and weigh its pros and cons. Join us on a journey into the heart of data analytics excellence.
How to build a simple data lake using Amazon Kinesis Data Firehose and Amazon S3Data Science by Sunny Srinidhi - March 3, 2020March 3, 20203 In this post, we’ll see how we can create a very simple, yet highly scalable data lake using Amazon’s Kinesis Data Firehose and Amazon’s S3.
When I finally get to use my master’s degreeGeneralRants by Sunny Srinidhi - September 1, 2016February 9, 20170 According to my knowledge, getting a master’s degree is seen as an achievement, a sign of dedication, passion, and greater intellect. I’m of course talking about the West. I could be wrong here, but that’s what I’ve heard, read, and seen. But when you come to the East, Asia specifically, every other Tom, Dick, and Harry has a master’s degree. In fact, if he has only one, or this one over that one, he could be good for nothing! You have a master’s degree in Arts? Seriously? What the hell are you going to do with that? Go back to college and get a master’s degree in engineering, software engineering. Okay, that was a bit too much. But yes, some degrees are