Data warehouse new trends

  • Why are data warehouses becoming popular again?

    Eliminates data silos: Data exists in silos, trapped within different databases, making it more susceptible to discrepancies and ambiguities.
    Without a data warehouse, it becomes challenging for business analysts and decision-makers to manage relevant data from different sources, either manually or through queries..

  • Eliminates data silos: Data exists in silos, trapped within different databases, making it more susceptible to discrepancies and ambiguities.
    Without a data warehouse, it becomes challenging for business analysts and decision-makers to manage relevant data from different sources, either manually or through queries.
  • With many missing ETL subsystem features like data lineage, role based security, data quality and profiling subsystems, workflow management- Hadoop is not likely to replace a data warehouse but the two can exists together and make a perfect combination just like Peanut Butter and Chocolate.
The Latest Trends in Data Warehouse 2023
  • Moving To The Cloud.
  • Implementing Data Warehouse As A Service (DWaaS)
  • Big Data Integration Into Data Warehouse.
One of the trends seen in data warehousing is the use of AI to assist in the extract, transform, and load (ETL) process. AI-powered ETL tools can automate repetitive tasks, optimize performance, and reduce the potential for human error.

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