Challenges Of Today's Monolithic Data Architecture
IBM News, March 28th, 2023
The real-world challenges organizations are facing with big data today are multi-faceted. Every IT organization knows there is more raw data than ever before; data sources are in multiple locations, in varying forms and of questionable data quality.
To add complexity, the business users of, and use cases for, data have become even more varied. The new data being used for decision support and business intelligence might also be used for developing machine learning models. In addition, semi-structured data, such as JSON and IoT log files, might need to be mixed with transactional data to get a complete picture of a customer buying experience, while emails and social media content might need to be interpreted to understand customer sentiment (i.e., emotion) to enrich operational decisions, machine learning (ML) models or decision-support applications. Choosing the right technology for your organization can help solve many of these challenges.