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calculated fields. They understand the data model and relationships between
                       tables to design effective queries that deliver accurate and meaningful results for
                       visualization.
                   •   Query Optimization: The query designer optimizes queries to improve
                       performance and minimize execution time. They analyze query execution plans,
                       identify bottlenecks, and suggest optimizations like index creation, query
                       rewriting, or caching strategies to enhance query performance.
                   •   Data Validation and Testing: The query designer validates query results to
                       ensure accuracy and data integrity. They perform data quality checks, verify data
                       against the expected outcomes, and troubleshoot any discrepancies or
                       anomalies. They also conduct testing and validation of queries in different
                       scenarios or edge cases to ensure reliable data retrieval.
                   •   Collaboration and Communication: The query designer collaborates with other
                       members of the dashboard development team, such as dashboard designers,
                       data engineers, or business analysts. They communicate effectively to
                       understand requirements, gather feedback, and iterate on query design based on
                       changing needs or evolving data sources.
                   •   Documentation and Documentation Maintenance: The query designer
                       maintains documentation of queries, data sources, and transformations. They
                       document the query logic, data mapping, and any relevant information necessary
                       for future reference or troubleshooting.


               In summary, a query designer for an analytic dashboard plays a crucial role in designing
               and optimizing queries that retrieve and transform data for visualization. They ensure
               the accuracy, efficiency, and performance of the queries to deliver valuable insights
               through the dashboard.


               Query Writer Roles and Responsibilities

               The role of a query writer for an analytic dashboard involves writing, optimizing, and
               maintaining queries that retrieve and transform data for visualization. They play a critical
               role in ensuring efficient data retrieval, accuracy, and optimal performance of the
               dashboard.

               The query writer is responsible for writing queries that retrieve the required data from
               underlying data sources. They have expertise in query languages like SQL (Structured
               Query Language) or other query builders specific to the dashboard platform. They
               understand the data model and structure of the underlying databases or systems and
               write queries that extract the necessary data efficiently. This responsibility distinguishes
               the Query Writer from the Query Designer.









               Lesson 1: Query Builder Overview                             ©2024 Unanet. All rights reserved.  7
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