Consultants in database development and design
Why do I need a database for my company?
Share the same information with many people within your company.
Keep your business data safe and secure.
Develop reports from your business data to empower decision making.
"Databases pack an incredible punch when it comes processing, securing, and delivering data."
Report writing is a skill within itself and we are experts at SQL and T-SDQL, Database Optimisation and Index Tuning.
Build databases to be scalable.
Implement release management software, ensuring databases build and are easily deployable.
Can save databases which seem to no longer perform well.
Are experts at integrating databases with both .Net and .Net Core.
Develop reporting solutions for clients with tools such as Reporting Services, Business Objects, Tableau and SQL Server Integration Services (SSIS) and SSAS.
Have undertaken multiple data integration and transformation projects.
Specialists in database development
We build databases using SQL, T-SQL, and PL-SQL depending upon the database platform.
Info Rhino Limited as your specialist solutions provider;
Builds application models and relational database models.
Understand database tuning and performance to enhance application performance.
Have unique approaches to passing data between website applications to reduce round trips, increasing database performance.
Avoids hard-coding unlike many other database developers.
Database engineering solutions
Databases are vital
Data is central to every information system which exists. Databases are still the optimum way to keep data consistent, and at the same time permit data retrieval in a powerful way through the SQL language.
We still marvel at how brilliant databases are, and whilst we have lived through some of their shortcomings, see them as vital in most system toolkits.
We use Oracle Data Modeler for developing both Oracle and SQL Server database models.
These models can be;
- Relational data models (OLTP).
- Denormalised data models for data warehousing, following Kimball data modelling techniques.
- OLAP Multidimensional models.
Advanced Data Types
- HierarchyID and hierarchical data structures.
- Table Types for object based data access.
- Geospatial geographical database development, for processing geolocation data. We also build maps with Leaflet JS.
SQL Server Database Development by Info Rhino Limited
Understanding how to get the best out of SQL Server, how to store data, and what data types to use is our branch of expertise.
We develop databases which few other solutions providers can conceive of, including;
- Database Domain Driven Design.
- Command Query Responsibility Segregation (CQRS).
- Complex Event Processing - makes sense and is a great way of modelling and capturing business critical data.
- Metadata driven development.
- NBI for unit testing and automated testing of databases to aid continuous integration.
Innovation by a UK based database development company
Automated Code Generation from metadata
Most times we build applications from databases, we write code to automatically generate the code. This makes our development turnaround faster and less error prone.
Use of SQL Server Project
We are keen advocates of SQL Server Project. It helps us maintain our databases and make deployment easier. Every tool has its place though and we make sure it is right for the job.
Are relational databases necessary for application development?
The short answer is, no. Applications can function without using a relational database. We always use a relational database because we have additional skills in databases such as querying and analysis. We do see, that some solutions may benefit from both a relational and non-relational or graph database for different parts of an application.
Are NoSQL databases taking over relational databases?
They are in some ways, but NoSQL such as elastic search and Mongo DB serve different purposes. For processing data inside transactions - SQL databases are still king.
Are relational databases as scalable as NoSQL and other data stores?
Assuming, your application wants multiple concurrent connections, some data stores will be far more efficient than relational databases. It does not mean, creative ways to combine relational databases, caching and other data tiers cannot be successful.
Are relational databases becoming too multi-functional?
What seems to be happening, is different architectures are trying to solve the same problem in their own way. We see this as healthy, as it can help try new approaches on one platform before taking it to another level. What is important is we shouldn't claim that SQL Server has a better graph database than neo j4, for example.