



Data Latency is the ability to load and update data in near-real time, while supporting query workloads at the same time.
In AI and machine learning projects, instead of processing raw data directly, it is necessary to make it more meaningful and processable. An important concept that comes into play at this point is Embedding.
Master Data Management (MDM) provides a unified view of data across multiple systems to meet the analytics needs of a global enterprise. Whether MDM identifies customers, products, suppliers, locations, or other important attributes, MDM creates single images of master and reference data.
Financial analytics, also known as financial analytics, provides different perspectives on financial data related to a particular business, providing insights that will facilitate strategic decisions and actions that will improve the overall performance of the business.
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We were able to increase the data processing speed by 13 times on average and 30 times at maximum with this project.
