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Optimizing data lake infrastructure
In today’s world, data is the new oil, and there’s a great need to preserve that data for exploration and to derive value. A “data lake” acts as a repository that consolidates an organization’s data into a governed and well-managed environment that supports both analytics and production workloads. It embraces multiple data platforms, such as relational data warehouses, Apache Hadoop clusters and analytical appliances, and manages them together. Most companies aspire to become more data-driven, but many organizations are struggling to deliver on their strategy. This is primarily because of how data has been traditionally managed, with several point-to-point connections, new interfaces built over time as quick solutions, and a large amount of data that needs to be stored and moved across these systems. Addressing these challenges requires innovative solutions. In this blog post, we’ll talk about infrastructure solutions from IBM Spectrum Scale and IBM Power Systems that can help you address these challenges and optimize your data lake infrastructure.
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