Databases

An efficient way to store information that allows recording and subsequently classifying products, users, profiles, accesses and any other type of valuable feature.


Timeline

2006-2023

Sector

Software engineering

Scope

Software development: databases
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BACKGROUND

Nowadays, any productive process, electronic commerce system or advertising or recreational platform relies on an efficient storage of information that allows recording and subsequently classifying products, users, profiles, accesses and any other type of valuable feature. In some cases, the compiled details support the running of the business and in others, the information itself is what has value and therefore, the business is built around the storing, processing and selling of this information. For all of this, databases have become essential.

SOLUTE has experience as well as the technical capability for designing, implementing and deployment different types of databases, both relational as well as non-relational, which allow storing and analysing any type and volume of information.

Information adds value and, often times, the recorded volumes may be enormous, so when certain requirements need to be met using specific search and classification criteria, databases are used, as they are able to efficiently store the information and, using sophisticated indexing systems, receive quick and relevant results from a search and the cross-checking of different details originating from various sources.

When the amounts of information to be stored and processed grow exponentially, performance problems generally appear in databases that affect the ability to obtain results in a reasonable time, making certain types of searches impractical, or extending the response times to levels that are not acceptable for users.

Proper selection of a database, a good design of the information structure focused on the type of data to be contained and the use that is going to be made of it, as well as an intelligent drafting of the queries to be made, ensures searches get results in very short periods of time, optimising the storage space required for the information and generating a minimal load for the files.


RESULTS

After a proper design and development process, an efficient and quick database is obtained with a high performance and optimum use of resources. All of this leads to an improved response time for the applications and saving of resources for the customer.

EXPERIENCE

SOLUTE has been carrying out many projects, for internal use as well as for customers in varied fields, such as the energy or automotive sector. The immense majority of developments that are made support its backend in different databases.

In the wind energy sector, SOLUTE has developed the Furow software for a comprehensive implementation of wind projects. The backend of the CFD module in Furow requires storing large amounts of information in databases that are used for tracking and carrying out the calculations requested by the customer.

Currently SOLUTE develops Aphelion, a range of products focused on providing high resolution weather forecasts that are relevant to the energy, agricultural, industrial and naval sectors. The main purpose of Aphelion is to store and process massive amounts of historical weather data originating from different sources, which is used to feed the Artificial Intelligence models.

The design and development of databases requires an in-depth knowledge of information storage structures and indexing, linking and search systems as well as relational and non-relational database fundamentals.

METHODOLOGY

The design and development of databases requires an in-depth knowledge of information storage structures and indexing, linking and search systems as well as relational and non-relational database fundamentals.

The required skills for this include synthesis and abstraction capacity of the types of data, the design of database architectures, SQL language, NoSQL database fundamentals and the management of clustering and version control systems.

As tools we use databases (MySQL / MariaDB / PostgreSQL / Oracle / MS SQL Server / MongoDB…), client applications to design its structure and manipulate its content (MySQL Workbench, HeidiSQL, PHPMyAdmin, Navicat, Oracle SQL Developer, Microsoft SQL Server Management Studio…) and version control systems such as Gitlab.

The methodology for developing a database involves different phases: initially the development requirements are analysed, then the type to be used is planned, along with the optimum file for the task and the technical requirements required for the platform where it is going to be implemented (operating system, storage capacity, performance, etc.). Then, the detailed structure of the tables is designed as well as the relationship between them and their search indexes to subsequently carry out the implementation and deployment of said design and the validation process with a set of test data.

Often times, when requested by the customer, a subsequent continuous maintenance phase is initiated where modifications and improvements can be made to the database. Upon completion of the development, the documentation is delivered along with the migrations, containing the source design of the structure. As an option, the contents of the tests or the data provided by the customer are delivered so they can be initially entered into the database.

Automotive

Car safety sensors

The car sensor analysis contributes to optimising the signals received by the computers of the vehicle, which arrive through the different sensors that are installed, to properly activate their function and at the proper time.

Wind

Aeroelastic loads calculation

Fundamental to both wind farm feasibility studies and the development of new wind turbines for onshore and offshore use.