Deploy Red Hat Enterprise Linux on Microsoft Azure for a secure, reliable, and scalable cloud environment, fully integrated with Microsoft services.
Red Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
Fully Automated Process in One Tool: From Purchase Orders to Budget Control and Reporting.
For minor company expenses, you might utilize a spend management solution or track everything in spreadsheets. For everything more, you'll need Precoro. We help companies achieve procurement excellence and budget efficiency by building transparent, predictable, automated spending workflows.
A Java Servlet based generic game tournament pool bracket tracking application suitable especially for the NCAA basketball championship tournament. Features include bracket enterring, multiple scoring systems, multiple users, groups, pools, etc.
LAN Tournament Manager is used to setup and display brackets for any tournament. You can currently choose from single or double elimination (pool play to come in future). LTM is currently v.11.
Field Designer is a program to design sub-air paintball fields. It's written in Java and uses SWT as GUI library. This program helps you to prepare for a paintball tournament, fun game or simply to get an overview of a field.
GAMA is intended to ease administration of multiple game servers on distributed hosts on a TCP/IP network. It is especially usefull if you have to administer several gameserver for a tournament at a LAN Party.
BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.
BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.