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Data lakehouse access control9/13/2023 ![]() Scalability: Data lakehouses can handle massive amounts of data and scale horizontally, similar to data lakes, making them suitable for organizations with growing data needs. What are the Pros and Cons of a LakehouseĪt a high level, we think the following are of note.įlexibility: Like data lakes, data lakehouses can store both structured and unstructured data, providing flexibility for ingesting and storing diverse data types. It is designed to store massive volumes of structured and unstructured data while providing advanced analytics, performance, and transactional capabilities typically associated with data warehouses.ĭata lakehouses offer a unified platform for various types of workloads, including big data processing, machine learning, and business intelligence, simplifying data management and reducing the need for separate systems. What is a Data Lakehouse?Ī data lakehouse is a hybrid data management architecture that combines the benefits of data lakes and data warehouses. In this post, we will provide an overview of the data lakehouse, compare and contrast its pros and cons with data lakes and data warehouses, and maybe help you a little on your data journey. The data lakehouse concept has emerged as a new approach to address the limitations of traditional data lakes and data warehouses. The data landscape is evolving rapidly, and organizations are continually looking for innovative ways to store, manage, and analyze their data. ![]()
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