SQL

Migrating in either direction between Microsoft SQL Server and Oracle Database? Code migration tools, public synonyms, and change management are important to keep in mind.

Migrating in either direction between Microsoft SQL Server and Oracle Database? This round of pitfalls to avoid includes coverage of sequences, identity columns, and filtered indexes.

Migrating in either direction between Microsoft SQL Server and Oracle Database? There are some significant pitfalls to be aware of...

SQL window functions are calculation functions similar to aggregate functions but, unlike normal aggregate functions like "group by," have access to individual rows and can even add some of their attributes into the result set. In this article, Toptal Freelance SQL Developer Neal Barnett explains the benefits of SQL functions, describes when you’d use them, and gives you real examples to help with the concepts.

Data warehouses aren’t exactly a new concept, but industry demand for data science services, coupled with the rise of AI and machine learning, is making them more relevant than ever. In this post, Toptal Data Warehouse Developer Chamitha Wanaguru outlines three basic principles you need to keep in mind when developing a new data warehouse.

Sharing related information among isolated systems has become increasingly important. There are many methods to choose from to perform that task for SQL Server, but it’s important to know which is better for each use case.

Security has always been a primary concern for database experts, and with the advent of new, decentralized services, it’s become even more crucial. Microsoft addressed the need for an added level of security in SQL with the introduction of Always Encrypted functionality in SQL Server 2016. In this blog post, Toptal Freelance Software Engineer Josip Saban explains how Microsoft’s Always Encrypted concept works, how it’s implemented, and why developers can’t afford to ignore it.

Limited SQL scalability has prompted the industry to develop and deploy a number of NoSQL database management systems, with a focus on performance, reliability, and consistency. The trend was driven by proprietary NoSQL databases developed by Google and Amazon. Eventually, open-source systems like MongoDB, Cassandra, and Hypertable brought NoSQL within reach of everyone. In this post, Senior Software Engineer Mohamad Altarade dives into some of them and explains why NoSQL will probably be with us for years to come.

To retain its users, any application or website must run fast. For mission critical environments, a couple of milliseconds delay in getting information might create big problems. As database sizes grow day by day, we need to fetch data as fast as possible, and write the data back into the database as fast as possible. To make sure all operations are executing smoothly, we have to tune Microsoft SQL Server for performance.