FairCom Corporation’s Post

https://lnkd.in/eEX6jKjS YottaDB r2.00 is a major new release with substantial new functionality and database format enhancements. - Inherited from the upstream GT.M V7.0-000, YottaDB r2.00 creates database files of up to 16Gi blocks. For example, the maximum size of a database file with 4KiB blocks is 64TiB, which means you can use fewer regions for extremely large databases. With YottaDB r2.00, you can continue to use database files created by r1.x releases, except that the maximum size of a database file created with prior YottaDB releases remains unchanged. - For direct mode, as well as utility programs, YottaDB can optionally use GNU Readline, if it is installed on the system. This includes the ability to access and use command history from prior sessions. - Listening TCP sockets can be passed between processes. - The ydbinstall / ydbinstall.sh script has multiple enhancements. In addition to enhancements and fixes made by YottaDB, r2.00 inherits numerous other enhancements and fixes from GT.M V7.0-000 and V7.0-001, all described in the Release Notes. Please try YottaDB r2.00 and let us know what you think. Also, if you have not tried the YottaDB GUI lately, please do check it out and see what it can do, especially in real-time database monitoring, and executing Octo queries. Please also explore all the enhancements we have made to Octo. Thank you.

Is database sharding worth implemeting in your use case ? read my newsletter on fundamentals of database sharding.

Used AnyAsync and FirstOrDefaultAsync for asynchronous database operations. Used nameof for better refactoring support. Added null checks for request and ActionContext.Request.

starting 100 days of code day 1:Learn => 1) Error Handling Middleware: Implemented custom error handling middleware in Express.js to catch and handle errors globally, ensuring a consistent and user-friendly error response across the application. 2) wrapAsync Utility: Learned to use the wrapAsync utility to handle asynchronous route handlers and middleware, simplifying error handling by automatically catching and passing errors to the error handling middleware. 3) Mongoose Validation Errors: Explored Mongoose validation errors, which provide detailed information when database operations fail due to schema validation rules, helping to ensure data integrity.

Database building has begun. The priority is building an mvp. Create basic functionality. Get real world input and problems. Iterate and add functionality from there.

It’s better when things fit in the most efficient way. Learn more about eXtremeDB, the small, fast, flexible embedded database management system. https://bit.ly/34Vp2GG #embeddedsystems #embeddedsoftware #dbms #EmbeddedDatabase

Join this session to explore advanced techniques for optimizing SQL Server performance. Learn how to fine-tune queries, utilize indexing strategies effectively, and optimize database schema designs for maximum efficiency. Discover insights into query execution plans and performance monitoring tools to identify and resolve bottlenecks. Gain practical tips on memory management, caching strategies, and best practices for maintaining high-performance databases. Whether you're managing large-scale data or enhancing application responsiveness, this session equips you with essential skills to elevate SQL Server performance and optimize database operations. @Navya Krishna Alapati

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This is how the database backend looks like, this shows entities and their relationships.