To deliver insights or answer questions, a data analyst finds, combines, prepares, analyzes, visualizes, and shares data.
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With self-service analytic tools, however, power users can participate in the curation process. Using data preparation tools, they can transform, blend, and enrich enterprise and local data in an iterative manner. With visual discovery tools, they can visualize and analyze data and share their findings with departmental colleagues and managers. These casual users then view, search, modify, and discuss the power user reports and act on the results.
Workflow defines and manages the sequencing and dependencies of processes in the data pipeline. Sequences and dependencies need to be managed at two levels: individual tasks to perform a specific processing function, and jobs that combine many tasks to be executed as a unit.
Dataflow and Workflow Management implements, automates, monitors, and manages the processes that move data through data pipelines from point of origin to business use.
Relevant Content
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Blog
Two Approaches for Creating an Integrated Data Analytics Environment
Oct 14, 2020 - This article explores the choice between utilizing all-in-one platform tool-sets or orchestration tools when building end-to-end data analytics workflows.
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