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As I worked through the exercises in Week $2$ and Week $3,$ I had the opportunity to explore the Ambari dashboard and its features in depth. I utilized the Hive Query Editor to create and execute queries on the geolocation and trucking data, and I was impressed by its capabilities. The Hive Query Editor proved to be an invaluable tool for analyzing my data which allowed me to create tables, load data, and run basic queries with ease. Furthermore, I$/$we used it to create a new table, truck$\_$mileage, and calculate averages and sums which provided valuable insights into the data.

Upon running select statements on the tables, I examined the results in the Results tab which presented the data in a clear and concise tabular format. This made it easy to understand and interpret the data. I believe that the Hive Query Editor and the Results tab are two essential tools for analyzing the datasets provided in Exercise $3$ of Practice Lab. The Hive Query Editor enables me to create and run queries while the Results tab provides a clear view of the data.

Comparing the two tools, I found that the Hive Query Editor is the more useful tool for the datasets I've loaded into Hive. Its versatility and power allow me to perform a wide range of tasks from creating tables to calculating complex queries $($if needed$)!$ While the Results tab is useful for getting a quick look at the data, the Hive Query Editor offers more advanced features and capabilities. Overall, I$\text{'}$m pretty satisfied with the tools and features provided by Ambari and Hive, and I$\text{'}$m excited to continue using them in the future.