Representing data visually for maximum impact

Data lakes are designed to capture large amounts of raw data and enable the processing of that data to draw out new insights that provide business value. The insights that are gained from a data lake can be represented in many ways, such as reports that summarize sales data and top sales items, machine learning (ML) models that can predict future trends, and visualizations and dashboards that effectively summarize data. Each of these ways of representing data offers different benefits, depending on the business purpose:

• If you’re a data analyst who needs to report sales figures, profit margins, inventory levels, and other data for each category of product a company produces, you would probably want access to detailed tabular data. You would want the power of SQL to run powerful queries against the data to draw varied insights so that you can provide this data to different departments within the organization.
• If...