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School of Nursing & Midwifery, PUB Supporting Data for SWAN Silver Application Supporting data for Athena SWAN Silver award application form Name of institution: Queen s University Belfast Year: 2010
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How to fill out supporting data for athena

How to fill out supporting data for Athena:
01
Determine the purpose of the supporting data: Before filling out any supporting data for Athena, clarify the purpose or goal you want to achieve with the data. This will help you collect and organize the relevant information effectively.
02
Gather relevant data sources: Identify the sources of data that you will need to support your analysis or queries in Athena. This may include databases, files, or external sources like S3 buckets or data lakes. Ensure the data is in a compatible format for Athena, such as CSV or Parquet.
03
Organize the data structure: Structure your data in a way that aligns with the schema or table structure in Athena. This involves defining column names, data types, and ensuring the data is in a tabular format. You may need to clean or transform the data to fit the desired structure.
04
Create and configure the Athena table: In the AWS Management Console, navigate to the Athena service and create a new table. Configure the table's schema, specifying the columns and their respective data types. Map each column to the corresponding data in your dataset.
05
Define partitions (if applicable): If your data is partitioned, define the partition keys in the table structure. This helps optimize query performance by providing a logical grouping of data. Partitioning can be based on time, geographic location, or any other relevant category.
06
Load the data into Athena: Choose the method to load your data into Athena. This can involve using AWS Glue, running SQL queries, or using AWS Data Pipeline. Follow the appropriate steps to transfer and load the data into Athena. Ensure the data is stored in the appropriate location and matches the defined table structure.
07
Verify and validate the data: Once the data is loaded into Athena, verify that it is appearing correctly in the table. Run sample queries or perform data exploration to ensure the data is accurate and complete. Perform any necessary data cleansing or corrections if required.
Who needs supporting data for Athena?
01
Data analysts: Supporting data for Athena is crucial for data analysts who rely on Athena as a querying tool. They need access to accurate and relevant supporting data to perform in-depth analysis and generate insights.
02
Data engineers: Data engineers play a pivotal role in managing and manipulating the data that feeds into Athena. They need supporting data to design the data pipelines, transform the data into a suitable format, and ensure its availability for querying.
03
Business decision-makers: Executives and business leaders depend on supporting data for Athena to make informed decisions. They require the data to be readily available and accessible in Athena to perform ad-hoc queries or review dashboards and reports generated from Athena.
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What is supporting data for athena?
Supporting data for Athena includes all relevant information and evidence that backs up or corroborates the data provided in the Athena system.
Who is required to file supporting data for athena?
Individuals or organizations using the Athena system are required to file supporting data as part of the data submission process.
How to fill out supporting data for athena?
Supporting data for Athena can be filled out online through the Athena portal by uploading the necessary documents and information.
What is the purpose of supporting data for athena?
The purpose of supporting data for Athena is to ensure the accuracy and reliability of the data entered into the system.
What information must be reported on supporting data for athena?
Information such as financial records, invoices, receipts, contracts, and any other relevant documentation must be reported on supporting data for Athena.
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