Databases are every company’s asset. Good business decisions can only be made based on quality information extracted from data.
We need an effective way for managing the constantly growing volume of data. Database management systems, specifically relational databases, make this possible. Relational databases are the foundation of modern IT systems that support our customers’ operations. There are solutions available that include predesigned and optimized database systems (e.g. SAP HANA, Oracle Exadata). However, for most systems the right database needs to be selected. By making the right decision, we can realize competitive advantage in addition to the best technology for supporting our business processes.
Traditional databases are no longer the ideal solution for every scenario. Information that can help you optimize your business is no longer hidden just in the fields of a relational database. Instead, they are distributed across the internet and are available as unstructured records that include video, images, different document formats, Facebook posts, tweets, etc. If you want to extract information from new forms of data, you need new tools to analyse and store data. Object databases (NoSQL) make this possible.
Adapting to data
Non-relational databases enable you to adapt to new data and simply extend your data schemas.
Tools for smart analysis
Data analysis tools already use an SQL interface, so you can utilize your existing knowledge.
Integration with relational databases
Object and relational worlds are tightly integrated, which results in high data entropy and higher quality information.
Object databases came from the open source world and do not require the complex infrastructure demanded by traditional relational databases.
Internet of Things (IoT)
Devices can support out daily business decisions.
By using IoT technologies, companies can generate enormous volumes of data. Although all this information was inaccessible until recently, they now provide additional insight into the workings of business processes. The provide the ability to optimize processes using advanced algorithms and artificial intelligence. These massive amounts of data need to be properly stored and analysed with big data processing tools to be understood and used.
Standard communication protocol
Standard communication protocol enables us to quickly connect to devices by different manufacturers.
Formerly “silent” devices can communicate once you deploy IoT and can provide valuable information.
Supporting technologies enable us to store and process different types of data.
Learning from data
Advanced algorithms combined with artificial intelligence utilize IoT device data to improve business processes.