How companies master the entry into Big Data
In the face of aggressive competition, only companies that react quickly to current market developments can survive. Companies that use big data as a source of information are particularly efficient in this respect.big data comprises data from various sources, which is available in different formats and is constantly updated. However, it can hardly be processed into usable results using conventional means: relational databases fail due to the volume of data and ETL processes are too slow and have difficulties with the diverse data formats. The complexity of the data can therefore only be managed efficiently with the use of special big data technologies. getting started with big data processing always begins with scenarios of how data can help to improve business processes or change business models. Once the projects have been identified, it must be clarified whether all the necessary information is available. If this is not the case, new data sources need to be tapped - such as newsletters, landing pages, social media, Google Analytics or online portals and databases - and the data can now be processed, analyzed and graphically displayed using tools. However, there is no single tool that covers all functions. Only by linking different solutions can they be tailored to individual needs.Five tips for big data projects
- Department heads and specialists define which results are to be achieved.
- Data experiments reveal interesting correlations, resulting in new insights.
- The data can be prepared with metadata without adapting the data source.
- The traceability of data models should be guaranteed at all times.
- Use available big data technologies instead of developing your own solutions
