It is a modern data-driven design pattern used to store a wide variety of data types, both old and new, at a large scale. By definition, a data lake is optimized for the rapid storage of raw data along with data processing for discovery, analysis, and operations.
Data lake value:
• Cost reduction: The use of cost-effective servers and the scalability of servers has significantly reduced costs.
• Optimization: storing structured, semi-structured, and unstructured data in one place increases productivity for data processing in one place.
• Creation of new opportunities: Creating a suitable environment and a modern dashboard for batch and momentary processing increases diversity in analysis.
Data Lake Benefits:
• Advanced Analytics
• Using big data to increase business value
• Data storage with a different structure
• Large-scale data storage
• Discover new insights and opportunities
• Security
• Real-time processing
Anacav data lake:
Energy, various industries, mines, media, and entertainment. Health and medicine, banks, government, transportation, etc.
