What are the scalability challenges with data warehouses and how can you address them?
Data warehouses are central repositories for integrating data from one or more disparate sources. They store current and historical data in one place which is used for creating analytical reports for workers throughout the enterprise. However, as businesses grow, data volumes expand exponentially, posing significant scalability challenges. Scalability in data warehousing refers to the ability to handle increased loads without performance degradation. Addressing these challenges is crucial for maintaining efficient operations and gaining valuable insights from your data.
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Monish GhongeIIM Sambalpur PGP Co'25 | LinkedIn Top Voice (3x) | CAPM? | LSSGB | Sustainability & Business Analyst Intern @…
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Stanislas G. BIANOU,PMP,MBA.Senior IT Officer, Architecture at World Bank Group | Data Architect | Artificial Intelligence | Cybersecurity |…
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Divya SrivastavaTop Voice Data Warehousing | SnowPro Certified| Data Engineer | Datawarehousing | ETL/ ELT | Ab Initio | Linux