NEW YORK, April 4, 2024 – DBeaver Corp., one of the leading all-in-one database tools, announced today that it has successfully achieved three Google Cloud Ready designations: Google Cloud Ready – BigQuery, Google Cloud Ready – AlloyDB and Google Cloud Ready – Cloud SQL. Prior to this, DBeaver had already reached the Partner Build Level on Google Cloud.
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.
This time, we had the opportunity to interview the database expert and the speaker of many conferences – Ryan Booz. He is a developer advocate at Redgate Software, focusing on PostgreSQL. Ryan kindly agreed to share his favorite DBeaver features and everyday use cases with us and our readers. Let us start with a quick introduction to Ryan and his company.
Today, we are glad to announce the DBeaver 24.0, which, as always, brings you a lot of significant updates. Our team implemented features related to security, teamwork, AI usage, SQL scripting and much more. Let’s dive into the most important news and look at them in more detail.
There are several ways to create a connection in CloudBeaver. If you frequently need to connect to the databases of a specific driver, you could have used the “New Connection from Template” feature. But first, you need to make a proper one. Let’s learn how to do that.
We keep sharing our users’ stories on how specialists from different fields use DBeaver. This time, we talked with Partha Sen, Information Architect and Manager of Data Integration and BI at Avery Dennison. This global materials science company specializes in designing and manufacturing various branded packaging and labeling.
In the technology industry, collaboration across disciplines is essential. However, such teamwork often faces obstacles, mainly technical issues, and differences in operating culture.
As it happens, data plays a key role in all modern day decision making. Companies collect data on everything to provide better services, better understand customers needs and expectations, to control all processes within the company, to improve efficiency, and to maximize their profits. Data-driven decision-making is a key factor that contributes to the success of companies these days.
Are you looking to get a better grasp of your database structure? Entity Relationship Diagrams (ERD) in CloudBeaver are a powerful tool for visualizing the relationships between different database objects. We dive into the functionality and benefits of ERDs in this detailed article. Whether you are a seasoned database professional or new to SQL scripting, ERDs offer an intuitive way to navigate through a complex database structure and check it for links between tables.
Artificial intelligence technologies are widely used in various fields, and the database world is no exception. About a year ago, we added the AI Assistant to our desktop applications, and with its help, you can generate SQL queries based on prompts written in human language. With our latest release, we have taken it further, and now you can also use the AI Chat Mode. Let’s talk about it in more detail.
