The main tasks of data analysts are to collect, process and analyze data, as well as prepare reports that can consist of graphs, diagrams, tables and other visuals. Furthermore, data analysts often act as guardians or custodians of an enterprise's data, ensuring that information assets are consistent, complete, and up to date. Many data analysts and business analysts are known to have serious technical knowledge and strong industry expertise.
Data Latency is the ability to load and update data in near-real time, while supporting query workloads at the same time.
Neural Networks are one of the fundamental building blocks of artificial intelligence and machine learning. Inspired by the functioning of the human brain, these structures are used in solving complex problems and data processing.
Prompt engineering is the process of designing correct guidance and instructions (prompts) to get the best results from big language models (LLM) and AI systems. The power of AI models relies on their ability to produce accurate results with given input.
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