Data lakehouses continue to be hyped but do they replace or complement data lakes and data warehouses? Where do we stand from an architectural perspective? What is hype and what is real? What should be expected in the coming years?
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Prasad Pore
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I help clients with actionable and objective insights to enable them taking faster and smarter decisions on their most critical priorities.
Current areas of focus are lakehouse, data warehouse, data Lakes, cloud data management, stream data processing, data observability, Databricks platform and D&A strategy formulation and implementation.
Bio from: gartner-data-analytics-india-2025
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Productivity and operational efficiency are one of the key measures of business performance and economics. GenAI has promising capabilities of improving productivity and operational efficiency of data management function, and data governance. Organizations should explore and assess those capabilities to align it with strategic goals to improve the productivity and operational efficiency.
Lakehouse has become a cornerstone in managing large and heterogeneous data by providing capabilities that simplify organizational data architecture, unify data assets, and help streamline, harmonize, and enhance data processes, operations and governance. Lakehouse provides high value to the organization, reduces technical debt, and prepares the organization for new frontiers like AI.
Lakehouse has become a cornerstone in managing large and heterogeneous data by providing capabilities that simplify organizational data architecture, unify data assets, and help streamline, harmonize, and enhance data processes, operations and governance. Lakehouse provides high value to the organization, reduces technical debt, and prepares the organization for new frontiers like AI.