A Data lakehouse combines data warehouses and data lakes into one data platform which brings together the best of both worlds by combining business analytics and capture technologies decision-making with those of exploratory analytics and Data science. Lakehouse is fast emerging as the new standard for data architecture.
With Data Lakehouse you can enable processing power on top of Data Lakes such as S3, HDFS, Azure Blob, etc. Those cloud object storage solution (S3, Azure Blob...) also offer cheap storage cost. Data Lakehouse addresses the need for high performance, high reliability for storage and scalability capabilities.
Data Lakehouse supports diverse workload such as machine learning, streaming and analytics. It has many features, namely: Transaction support, Schema enforcement and governance, Standardized storage formats, End-to-end streaming, Storage and Compute are decoupled, Standardized storage formats...
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Categories: Big Data, Data Engineering | Tags: Business intelligence, Data Engineering, Data structures, Database, Hadoop, HDFS, Hive, Big Data, Data Analytics, Data Lake, Data lakehouse, Data Warehouse
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