Accelerate data movement into the Databricks Data Intelligence Platform to execute analytic workloads, AI and GenAI.

As can be inferred from their name, foundation models are the foundation upon which developers build AI applications for tasks like language translation, text summarization, sentiment analysis and more. Models such as OpenAI's GPT, Google's Gemini, Meta’s Llama and Anthropic’s Claude, are pre-trained on vast amounts of text data and have the capability to understand and generate human-like language.

Now-a-days the data needs to be shared across different systems and platforms. One of the most common formats for this data exchange is JSON (JavaScript Object Notation). Understanding how to properly handle special characters in JSON is crucial for ensuring data integrity. In this blog, we’ll explore JSON escape and unescape, explain their importance. So let’s get started!

Data management is one of today's most critical business function. Without a solid grasp of what data management entails, organizations can't use data effectively. So, businesses look to ETL developers and data engineers for everything from data processing and management basics to regulatory compliance and the overall processes that help businesses use data to steer organizational decisions.

Regression defects are unexpected errors that arise in previously functional software following updates or modifications to the codebase. A significant 85% of development managers agree that reducing technical debt, including regression defects, without compromising innovation has become increasingly difficult. If you’re like most software developers or testers, you’re always looking to improve the quality of your code. One way to do this is by understanding and preventing regression defects.

Due to market pressures and disruptions, life sciences organizations need to reexamine their supply chain operations and how to more safely and efficiently bring products to market. However, deciding where to begin implementing change can be daunting. Here are some best practices for achieving streamlined end-to-end supply chain orchestration.

In software development, manual testing is key to ensuring quality and user satisfaction. This guide covers the basics of manual testing, its types, and how to perform it effectively. Studies show that 41% of software bugs are found through manual testing. In this article, we’ll explore different types of manual testing, such as exploratory, usability, and regression testing. We’ll also compare manual testing with automated testing.

New apps and products enter the market daily, each undergoing rigorous testing before release. As automated processes advance across various industries, software development is no exception. Many quality assurance (QA) teams heavily invest in automation to handle most of their tests. This ensures repeatable tests are efficiently executed while quality assurance professionals focus on other tasks. With all these advancements, one might wonder: Is manual testing still important? The answer is yes!

Modern software development requires applications to interact with databases to retrieve and modify data. According to Statista, MySQL ranks among the most popular open-source Database Management System (DBMS). With such widespread usage, there’s a need to ensure smoother and faster interactions between applications and MySQL databases. Enter MySQL APIs. MySQL APIs eliminate the effort involved in coding or using other database management tools.