Miscommunication in healthcare is expensive. A study found that communication failures cost the U.S. healthcare system $1.7 billion over five years. Language barriers are a key factor affecting international collaborations, telemedicine, and diverse patient populations.
Approximately 30% of the world’s data volume is produced by the healthcare industry, and by 2025, this is projected to grow at a compound annual rate of 36%. Many healthcare organizations have adopted document databases to manage this influx. This way, they leverage their ability to handle unstructured data such as medical records, doctor’s notes, and lab reports. The flexible structure of document-oriented databases facilitates the storage of diverse data types, ultimately enhancing patient care and operational efficiency. But are we genuinely harnessing their full potential?
MacOS has steadily gained popularity and is now the second most popular desktop operating system globally. According to Statista, as of 2024, it held approximately 20% of the market share. It’s also common for users to switch from Windows to macOS or use both operating systems simultaneously, contributing to this statistic.
The ability to extract and share data in various formats is essential for effective data management. When you’re archiving, analyzing, or collaborating, you need the right tools to get your data where it needs to be.
This guide will show you how to easily download data from whole tables and specific result sets into DBeaver, allowing you to keep working. With support for 10 different file formats and detailed control over the extraction process, you can tailor your exports to suit your every need.
Backup and restore helps protect organizations from data loss by creating and storing data copies. Today, we will talk about why this process is crucial for companies and how to perform database backups and recovery using DBeaver.
DBeaver PRO allows you to work with different types of databases, including cloud-hosted ones. Today, we want to guide you step-by-step through creating a connection to Google BigQuery using two different ways.
If you have the MySQL database available in Microsoft Azure, you need a convenient tool to connect and start working with it. DBeaver Ultimate and DBeaver Team Edition allow you to connect to MySQL databases in two ways: through a standard wizard and by using Cloud Explorer. Let’s look at how to use each of these methods step by step.
DBeaver users are constantly coming to our team with requests on how to personalise their data experience. For example, some of them would like to customize their toolbars in SQL and Data editors. What if we told you that this is now possible?
The main goal of our apps is to simplify SQL scripting for users in various professions who have different skill levels. That is why we have the Visual Query Builder – a tool with which you can create SQL queries based on the visual representation of the part of your database schema. Previously, we have briefly talked about this feature and its capabilities in our blog. However, we want to dive a little deeper and show you how you can use VQB for your tasks.
