Data collection, cleansing, and transformation processes have been evolving with ever-increasing expectations of analytical users. With the arrival of cloud-native data engineering solutions, these processes have further matured to process big data within a limited time window along with streaming in real-time. Data virtualization technologies are also gaining traction to meet faster time-to-market requirements.
Are your data integration/streaming processes optimized to meet today's challenges while leveraging the best tools available at the lowest possible cost?
#dataengineering #datastreaming #dataintegration
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krtrimaIQ
Short StorykrtrimaIQ is an AI and Data Science company in India that provides solutions for Intelligent Enterprise, Powered by Big Data Engg, NextGen BI, Data Science, NLP/G, and Computer Vision.