This guide details seven considerations for migrating to a data lake. Companies should define their vision, assess current data storage and usage, and set clear goals like reducing data sprawl and improving governance. It’s important to understand all costs, including excess capacity, training, and opportunity costs. Evaluating key capabilities such as scalability, security, concurrency, and interoperability ensures the platform meets evolving needs. Planning the migration order, training employees, and anticipating future requirements are essential for success. A clear strategy and preparation help maximize ROI and adapt to future changes.

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