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If you’ve ever wondered whether attending a conference is worth the time and budget, you’re not alone. But for data professionals, the right event can be a game-changer, not just for your technical skills, but for your career trajectory. At Redgate, we’ve seen firsthand how events like PASS Data Community Summit help attendees grow, connect, and return to work with fresh ideas and renewed energy.

If you use Microsoft Entra ID to connect Redgate tools, such as SQL Prompt, to Azure SQL Databases, please update to the versions listed below before July 31, 2025. These versions use a new, dedicated Entra ID app to authenticate. Earlier versions use an authentication method that will no longer work after July 31st. This change only affects connections to Azure SQL Databases.

According to McKinsey, 78% of organizations have implemented AI in at least one core function, with data analytics leading that transformation. AI no longer supports analytics from the sidelines; it now directs how data is queried, modeled, and delivered. It forecasts outcomes, detects anomalies, and reveals real-time insights, often before a dashboard loads. For SQL developers and DBAs, this marks a new phase in data work.

SQL Server AI marks the beginning of a new era for data-driven businesses. What was once thought of as a future prediction is now actively transforming database management. With outstanding features like natural language processing, predictive analytics, and automated error handling, managing data with artificial intelligence in SQL Server is faster, easier, and better. If you are a database developer, data analyst, or DBA, using SQL Server AI is no longer optional; it’s a productivity necessity.

Imagine telling your database to get the best five customers by order from six months ago, and you get a well-optimized query instantly. Zero coding. No Googling syntax. Just results. Welcome to the future of database management with MySQL AI. MySQL Artificial Intelligence is a strategic solution transforming the traditional method of managing databases.

Knowing how to create a database is no longer just a backend task; it’s a core skill for building systems that perform under pressure and scale with complexity. With global data volumes expected to reach 175 zettabytes by 2025, developers must design systems that turn raw information into something meaningful, accessible, and usable. But what does that look like in practice? How do you go from raw data requirements to a reliable schema? Which engine should you choose?

Q2 2025 has brought another wave of improvements to VictoriaMetrics Cloud! If you tuned in to our latest Quarterly Virtual Meetup, you saw firsthand how we’re making observability even more accessible, powerful, and interactive.

In today’s rapidly evolving world of development, Database DevOps is becoming an essential practice. It combines the agility of DevOps with the intricacies of databases, all with the goal of enhancing speed, stability and collaboration when it comes to database changes. However, before diving into Database DevOps there are some key concepts your team should get acquainted with. Here are 10 key things you should know to truly understand and reap the benefits from Database DevOps.

NetSuite connectors unlock the real power of your ERP by bridging gaps between systems, data, and decisions. According to McKinsey, only 1 in 5 companies capture more than half the expected value from their ERP investments. The missing link? Integration. Core modules alone are not enough. Today’s ERPs must serve as connected command centers, linking systems, syncing data, and supporting real-time decision-making. NetSuite is no exception.