Systems | Development | Analytics | API | Testing

Data is the heart of business operations. And much of that data is sensitive or regulated. Cyber threat actors know they can benefit financially from your data by holding it for ransom or selling it on the dark web. The most recent Cost of a Data Breach Report 2022 from Ponemon Institute and IBM clocks the average data breach cost at $4.35 million USD (that’s $164 USD per data record). The stakes are high. Your security must be too.

In this post, I will demonstrate how to use the Cloudera Data Platform (CDP) and its streaming solutions to set up reliable data exchange in modern applications between high-scale microservices, and ensure that the internal state will stay consistent even under the highest load.

With the advent of cloud services, IT is transforming and evolving from being traditionally data center-centric to data-centric. The data center is no longer a physical location. It extends beyond the walls of the enterprise, to the cloud, and the edge where the majority of data is being generated.

“Software is eating the world” and “APIs are eating software” have become familiar proclamations across the modern-day software industry. Given the resounding hype, interest, and substantial monetary investments happening in Artificial Intelligence (AI), a likely follow-on statement is, “AI is eating APIs, software, and everything else!”

Whether you call it self-service analytics or self-service business intelligence (BI), there has been much discussion about the perils, myths, promises, and prospects of successfully building self-service capability. Going forward, I’ll use the phrase “self-service BI” but you are welcome to substitute the words “self-service analytics”. So, is self-service BI actually attainable or just snake oil?

Open AI developed Chat GPT, an auto-generative technology for AI chatbots to use in providing online customer support. It employs Natural Language Processing (NLP) and has been trained to generate conversational responses. Textbooks, webpages, and other materials serve as its data source, from which it models its own language for reacting to human contact. When it comes to the IT sector, software testing is one area where Chat GPT is predicted to thrive.