Twenty-first-century business is driven by technology. Therefore, it is essential for companies of all industries to learn how to properly handle, store, and utilize their data. In recent years, more and more companies have begun utilizing data warehouses to improve their organization's business intelligence and make more well-informed decisions.

We all know that organizations face a huge challenge in extracting valuable insights from vast amounts of data. Chief Data Officers (CDOs) and Chief Data Analytics Officers (CDAOs) play a key role in this process, as they are responsible for managing and leveraging organizational data to drive sustainable and responsible growth. One technology that has revolutionized the way they unlock value from business data is generative artificial intelligence (AI).

In their effort to reduce their technology spend, some organizations that leverage open source projects for advanced analytics often consider either building and maintaining their own runtime with the required data processing engines or retaining older, now obsolete, versions of legacy Cloudera runtimes (CDH or HDP).

Use this cheat sheet to build a strategy for locating elements known as XPath.

Learn all about Fivetran’s new Delta Lake on Azure destination.

API-first startups must prioritize the development and utilization of their Application Programming Interfaces (APIs) as the foundation of their growth model. API-based organizations heavily rely on management and analytics to ensure the smooth functioning, monitoring, and optimization of their APIs. However, the decision to build or buy an API management tool becomes crucial as it directly impacts the SaaS provider’s resource allocation, time-to-market, and overall business strategy.

ChatGPT is a champ, but sometimes, it needs a breather. Here's what you need to know about the Model is Overloaded error and how to give it that breather.