Data gravity occurs when the volume of data in a warehouse increases and the number of uses also increases. In some cases, copying or moving data can be troublesome and expensive. Therefore, data tends to pull services, applications and other data into its warehouse. Primary examples of data gravity are data warehouses and data lakes. Data in these systems is inert. Scalable volumes of data often break existing infrastructure and processes, requiring risky and expensive fixes. Therefore, the best practice is to move design processing to data, not the other way around.
Deepfake technology is a technique that manipulates audio and video in digital content using artificial intelligence and deep learning methods.
Explore the evolving world of Data Warehouse Modernization and its importance in leveraging big data. Learn how data warehouses work, their types, requirements in various industries, and application areas.
LLaMA (Large Language Model Meta AI), Meta (eski adıyla Facebook) tarafından geliştirilmiş bir büyük dil modelidir.
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