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01_​Flight_​Delay_​Statistics

Step 1: Connect to Hive Step 2: Upload airline dataset (included) - DB Table Creator/DB Loader: Choose table schema and name Step 3: Aggregate and visualize flight delays per day of week Demo workflow: Flight delay statistics using Impala - Load the airline dataset into Hive - Aggregate and visualize data (flight delay per day-of-week)Data source: - http://www.transtats.bts.gov/Fields.asp?Table_ID=236 - All US flights from Jan 2020 DB Loader DB Table Creator DB GroupBy DB Sorter DB Reader Bar Chart Number To String DB Table Selector Read airline data Create Local BigData Environment Step 1: Connect to Hive Step 2: Upload airline dataset (included) - DB Table Creator/DB Loader: Choose table schema and name Step 3: Aggregate and visualize flight delays per day of week Demo workflow: Flight delay statistics using Impala - Load the airline dataset into Hive - Aggregate and visualize data (flight delay per day-of-week)Data source: - http://www.transtats.bts.gov/Fields.asp?Table_ID=236 - All US flights from Jan 2020 DB Loader DB Table Creator DB GroupBy DB Sorter DB Reader Bar Chart Number To String DB Table Selector Read airline data Create Local BigData Environment

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Created by: bjoern
Created at: 2020-05-14
On NodePit since: 2020-11-20
Last update: 2024-04-17
Created with KNIME version: v4.2.3

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