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Databases

Which Modern Database Is Right for Your Use Case?

A database allows multiple users to maintain, update, and edit stored information quickly, securely, and efficiently. That makes a database useful for a host of real-life cases such as keeping track of corporate accounting records, storing huge amounts of data from a network of IoT devices, tracking your company's inventory systems, or building a web application.

What Are the Top 10 SQL Server Data Tools for 2023?

Five things you need to know about SQL Server data tools: Microsoft SQL Server is an RDBMS (relational database management system) for managing and storing information, transaction processing, and business intelligence. Managing a database on SQL Server or moving data to and from the platform can be challenging at the best of times. However, various SQL Server data tools can streamline these processes and improve scalability, functionality, and features.

Integrating Keploy with Redis in Golang

In this video, we'll see how keploy has evolved. Presenting a new installation process of Keploy where the server of keploy can be installed using binary for Linux and macOS, and we can run the keploy server using the command "keploy" from the CLI. The test cases when you make an API call is reflected in the CLI where keploy is running, and the test runs details are also shown there. The test runs report is stored in yaml file format under the test-reports directory.

Securing a PostgreSQL API

API abuse was once one of the most infrequent vectors for cyber security attacks. It has now moved up the list to be one of the most frequently used techniques. In a time when data is a company’s competitive edge, more and more organizations are embracing APIs to integrate various databases and applications effectively. With the amount of information shared between these APIs, securing the data and user access to that information has become increasingly important.

Database Performance Optimization and Scaling in Rails

Web applications usually rely heavily on databases, for the most part. And as applications grow, databases grow too. We keep scaling web servers and background workers to keep up with the heavy load. But eventually, the database needs to keep up with all the new connections from these processes. One way to tackle this is to grow a database with an app using vertical scaling. This means adding more CPU power and memory to the database server. But this is usually slow.

Transaction Support in Cloudera Operational Database (COD)

CDP Operational Database enables developers to quickly build future-proof applications that are architected to handle data evolution. It helps developers automate and simplify database management with capabilities like auto-scale, and is fully integrated with Cloudera Data Platform (CDP). For more information and to get started with COD, refer to Getting Started with Cloudera Data Platform Operational Database (COD).