BigQuery Management
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Questions and Answers

What should be done after identifying a cancelled client in the BigQuery system?

  • Save their queries to the tracker data file. (correct)
  • Archive their queries in the All Clients Latest Query.
  • Highlight their data in blue.
  • Delete all their information from the system.

What is the purpose of highlighting data in red in the tracker data file?

  • To mark queries that need to be reviewed later.
  • To signify that the data has been archived.
  • To inform the Terakar dev team about removed queries. (correct)
  • To indicate a new query entry.

When checking client IDs, what should be done if a client has re-signed after cancellation?

  • Remove them from the new customer log.
  • Only keep their cancelled status.
  • Include them in the All Clients Latest Query. (correct)
  • Delete their previous data and create a new record.

Which of the following should be checked alongside the new customer log?

<p>The search and creation log. (C)</p> Signup and view all the answers

What indicates that a client is no longer active?

<p>They are not found in the new customer log or search and curation log. (C)</p> Signup and view all the answers

What should be done with clients identified as 'N.A.' in the new customer log?

<p>They need to have their queries removed. (B)</p> Signup and view all the answers

Which software tool is used to verify the presence of client IDs?

<p>BigQuery (A)</p> Signup and view all the answers

Which behavior might indicate a client is trying to return after cancellation?

<p>Having a name in both cancelled and new customer logs. (D)</p> Signup and view all the answers

What is the first step in cleaning up the client queries?

<p>Check the client IDs in the client intake form. (C)</p> Signup and view all the answers

Which task was deemed a priority when running BigQuery?

<p>Removing queries from inactive clients. (D)</p> Signup and view all the answers

What is the first file needed for the process described?

<p>BigQuery (C)</p> Signup and view all the answers

Which two files need to be opened simultaneously?

<p>Client intake form and BigQuery (D)</p> Signup and view all the answers

What is the purpose of cleaning the BigQuery data?

<p>To check which clients are active or cancelled (C)</p> Signup and view all the answers

What is the significance of copying client IDs from the bottom of the list?

<p>To facilitate the selection of clients for processing (D)</p> Signup and view all the answers

What should be done before addressing any questions?

<p>Finish the step-by-step procedure (A)</p> Signup and view all the answers

What is the role of the Client Intake Form in the cleaning process?

<p>It tracks the client activity (D)</p> Signup and view all the answers

What action should be taken after the recording?

<p>Create a document with the transcript (B)</p> Signup and view all the answers

How should the screen be shared during the process?

<p>Share the entire screen (A)</p> Signup and view all the answers

Why was there a misunderstanding regarding the microphone?

<p>One participant was muted (A)</p> Signup and view all the answers

What should be done if there is confusion during the discussion?

<p>Ask for clarification immediately (D)</p> Signup and view all the answers

What is the purpose of using VLOOKUP in this context?

<p>To check if client IDs are in the list of canceled clients (C)</p> Signup and view all the answers

What is the first step suggested for cleaning up the client ID data?

<p>Remove all unnecessary information and keep only the client IDs (C)</p> Signup and view all the answers

After copying a client ID, what is the next suggested action?

<p>Search for the client ID in BigQuery (C)</p> Signup and view all the answers

What should be done after processing the canceled client IDs?

<p>Highlight the rows of canceled clients in red (D)</p> Signup and view all the answers

Which method is suggested for removing entries in BigQuery?

<p>Cut and paste entries to track them (D)</p> Signup and view all the answers

What caution is advised when dealing with client names that are similar?

<p>Ensure the correct client ID is referenced to avoid mistakes (A)</p> Signup and view all the answers

What function is specifically mentioned to handle separating client IDs from other data?

<p>SPLIT (C)</p> Signup and view all the answers

What indicates that a client has been deleted from BigQuery?

<p>The client row highlighted in red (B)</p> Signup and view all the answers

How should unnecessary words or data be handled according to the instructions?

<p>Remove them to only retain client IDs (D)</p> Signup and view all the answers

Which operation is NOT suggested after identifying canceled clients?

<p>Retaining all data in the tracker file (A)</p> Signup and view all the answers

What is the first action to be undertaken in the cleaning process?

<p>Access BigQuery's All Clients Latest (B)</p> Signup and view all the answers

Which two files are essential to open simultaneously during the cleaning process?

<p>BigQuery and Client Intake Form (D)</p> Signup and view all the answers

What should be done prior to addressing any questions during the cleaning process?

<p>Complete the step-by-step procedure first (C)</p> Signup and view all the answers

Why is it necessary to check the Client Intake Form during the cleaning process?

<p>To determine if a client is active or has cancelled (C)</p> Signup and view all the answers

During the process, how should the screen be shared?

<p>Share the entire screen (A)</p> Signup and view all the answers

What should be done to the client IDs in the BigQuery after they have been identified as cancelled?

<p>They should be removed from BigQuery. (D)</p> Signup and view all the answers

Which is the correct function to use for checking whether client IDs are in the canceled clients list?

<p>VLOOKUP (C)</p> Signup and view all the answers

What should be done after deleting client queries from BigQuery?

<p>Highlight the corresponding rows in red. (C)</p> Signup and view all the answers

What is the main step involved in separating client IDs from other data in BigQuery?

<p>Splitting the text to columns. (D)</p> Signup and view all the answers

When identifying the client query entries, what is essential to avoid confusion with similar names?

<p>Always use full names including surnames. (C)</p> Signup and view all the answers

What should be done first when updating BigQuery?

<p>Identify highlighted rows in the tracker data (D)</p> Signup and view all the answers

What action is required after replacing a client's query in BigQuery?

<p>Remove the highlight from the replaced entry (A)</p> Signup and view all the answers

What should be done if a new client does not have an existing query in BigQuery?

<p>Add the client's query at the bottom of the list (D)</p> Signup and view all the answers

When should the 'Select to Union All' command be used during the updating process?

<p>Immediately after replacing any client query (B)</p> Signup and view all the answers

What characteristic distinguishes rows that need edits in the tracker data?

<p>They are highlighted in yellow (D)</p> Signup and view all the answers

What is the final step to ensure changes are saved in BigQuery?

<p>Save the updated query (C)</p> Signup and view all the answers

If a client entry is already present in the all clients latest query and there's a new query for that client, what should be done?

<p>Replace the old query with the new one (B)</p> Signup and view all the answers

What is the purpose of highlighting rows in yellow in the tracker data?

<p>To mark entries for immediate review (A)</p> Signup and view all the answers

What should be done with entries highlighted in yellow in the query?

<p>Add them to the All Clients Latest Query. (D)</p> Signup and view all the answers

How are queries marked for removal indicated?

<p>They are highlighted in red after removal. (A)</p> Signup and view all the answers

What is the purpose of using chat GPT in the documentation process?

<p>To summarize and create step-by-step procedures. (D)</p> Signup and view all the answers

Flashcards

Clean BigQuery

The process of preparing the BigQuery database for further analysis.

Client Intake Form

A spreadsheet containing client information.

BigQuery data

Data stored within the BigQuery platform.

Tracker data file

Data file containing details about tracked data.

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Client IDs

Unique identifiers for each client in the system.

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All Clients Latest

A table in BigQuery containing the latest information on all clients.

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Copy client IDs

Act of extracting unique identifiers for clients (from client intake spreadsheet).

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Simultaneous Viewing

Visualizing data in BigQuery and Client Intake Form spreadsheet side-by-side.

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Step-by-Step Procedure

A detailed sequence of actions for problem-solving.

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Active Client

Client who is continuing their services with the organization.

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Removing client IDs from BigQuery

Identifying and deleting client IDs from a BigQuery database.

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VLOOKUP

A function in Google Sheets to search for a value in a specific column of a table.

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Data cleaning in Google Sheets

The process of filtering or extracting data from spreadsheets.

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Cancelled Clients List

A list of clients that have been removed from active status.

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Filtering data from A to Z

Organizing data in alphabetical order (ascending) via sorting tools from A to Z.

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BigQuery

A cloud-based data warehouse for storing and analyzing large datasets.

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Spreading Sheet

A spreadsheet program similar to an excel table; often Google Sheets.

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Removing entries

Deleting rows with specific criteria.

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Cancelled Clients

Clients who have cancelled their consultations.

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New Customer Log

List of newly registered clients.

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Search and Curation Lag

A list of clients who've had issues with searches and curation.

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Red Highlighting

Used to mark queries that need to be deleted.

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What is VLOOKUP used for?

VLOOKUP is a Google Sheets function that searches for a specific value in a column within a table and then retrieves the value from another column in the same row.

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What's the purpose of highlighting cancelled client queries red?

Highlighting cancelled client queries in red in the TrackerData file helps the tracker team identify and remove the client from BigQuery, ensuring accurate data.

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What's the purpose of this client ID cleaning process?

This process ensures data accuracy by removing client IDs from BigQuery that are identified as cancelled clients. This eliminates duplicated information and keeps the database up-to-date.

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Why is it crucial to ensure the client ID cleaning process is done correctly?

Inaccurate client ID removal can lead to missing data or incorrect analysis results. It's essential to carefully follow the steps to avoid impacting further data processing.

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What's the TrackerData file used for?

The TrackerData file is a spreadsheet used to track client information, queries, and changes. It's essential for organizing and monitoring data updates.

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Yellow Highlighting

Indicates queries in the Tracker Data that need to be updated or reviewed.

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Update the BigQuery

The process of ensuring BigQuery has the most up-to-date client information.

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Tracker Data

A spreadsheet containing information about client queries and changes.

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New Client Query

A query submitted by a client who has not previously been registered.

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Replace the Query

Update an existing query in the All Clients Latest table with a new version.

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Select to Union All

A code snippet used to combine data from multiple sources.

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Remove the Highlight

Remove the yellow highlight from a query in the Tracker Data after updating it.

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Save the Query

Store the updated BigQuery data to ensure the changes are permanent.

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What is the purpose of highlighting cancelled client queries in red?

Marking cancelled client queries in red helps identify them quickly for removal from BigQuery, ensuring data accuracy.

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Why is it important to keep BigQuery clean?

Cleaning BigQuery by removing irrelevant data ensures data integrity, prevents skewed results and improves analysis efficiency.

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What is the main goal of the data cleaning process?

The primary goal is to keep BigQuery up-to-date by removing client IDs of cancelled clients.

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What are the steps to identify new data in BigQuery?

Check the 'Jobs Data Daily' folder in Google Cloud Storage for the current date's data file. If it's present, it means new data has arrived.

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What is the role of the TrackerData file?

The TrackerData file acts as a central hub for tracking client information, queries, and updates, helping to manage data consistency.

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Why is it important to edit the chatGPT generated document?

ChatGPT can generate a step-by-step procedure, but manual editing ensures its accuracy and addresses any potential errors or gaps.

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How does manual documentation aid in understanding the process?

Manually documenting the process allows for a deeper understanding of how each step works, ensuring that the steps are clear and logical.

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What is the purpose of creating a training manual?

A training manual serves as a guide for new employees, detailing the step-by-step procedure of client ID cleaning and BigQuery maintenance.

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Why automate documentation with ChatGPT?

Automating documentation with ChatGPT accelerates the process of creating detailed step-by-step procedures, saving time and effort.

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What is the key takeaway regarding authorization?

Authorization plays a crucial role in executing tasks related to BigQuery data management, ensuring security and proper access.

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SSH Terminal

A secure connection to a virtual machine, allowing you to run commands on the server.

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Load JSON Data

The process of importing structured data from a JSON file into a BigQuery table.

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BigQuery SQL Query

A language used to retrieve and analyze data stored in the BigQuery data warehouse.

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Test Cloud Function

Verifying that a Cloud Function performs its intended action without affecting real data.

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AI Matching Script

A Python script that calculates a similarity score between client data and a reference dataset.

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Screen Session

A persistent terminal environment that continues running even when the SSH connection is closed.

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Run AI Matching Script

Executing the Python script to calculate similarity scores for each client.

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Log File

A text file that records messages and events related to software processes.

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Update the Tracker Data

Modifying the Tracker Data spreadsheet to reflect the latest client query status and matching results.

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Ensure Data Accuracy

Making sure that the data in the Tracker Data spreadsheet and BigQuery database is consistent and correct.

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Study Notes

Data Cleaning Procedure for BigQuery

  • Tools Required: BigQuery, traffic tracker data file, client intake form file
  • Initial Steps: Open BigQuery, All Clients Latest Files. Clean BigQuery
  • Simultaneous Viewing: View BigQuery and Client Intake Form side-by-side.
  • Client Status Check: Use the Client Intake Form to identify cancelled or active clients.
  • Copy Client IDs: Copy all client IDs from the bottom of the All Clients Latest BigQuery list.
  • Create New Sheet: Create a new sheet (e.g., December 5, BQ Client IDs) to store the client IDs.
  • Extract Client IDs: Paste client IDs and separate them from extraneous text using data tools (e.g., 'Split text to columns').
  • Sort Client IDs: Sort the client IDs alphabetically in a column.
  • Identify Cancelled Clients: Cross-reference client IDs in the sorted list with the “Canceled Clients” tab to find canceled client IDs.
  • Remove Cancelled Clients' Queries: Remove IDs marked as cancelled from the BigQuery, avoiding deletion of active client IDs.
  • Transfer Queries to Tracker Data: Copy and paste client IDs found in the canceled client list into the Tracker data, replacing the corresponding query.
  • Delete from BigQuery: Delete client queries from BigQuery linked to canceled IDs ensuring no active client is removed.

Additional Considerations

  • Highlight Canceled Clients: In the tracker data file, highlight rows of canceled clients in red, providing visual cues to the team.
  • Handle Duplicate Names: Be mindful of duplicate names when removing clients from BigQuery. Ensure you do not remove queries for clients with the same name but different IDs.
  • Old Clients: Delete queries for clients who are no longer active but were in the BigQuery query.
  • New Customers: Cross-reference and remove client IDs not present in the new customer log for potentially inactive clients.
  • Search and Creation Log Check: Check if client IDs are also in the search and creation log; if present, ensure queries are not deleted, and highlight rows.
  • Active Client Verification: Add or update client IDs in new customer log that may have been inaccurately marked as inactive to keep active clients in the query.

Finalizing the Process

  • Check for Hidden Rows: Always check for hidden rows in Tracker data files.

  • Removal of N/A clients: Remove client IDs that are not present in the new customer or search and curation logs, indicating potentially inactive clients.

  • Highlighting Prioritization: Prioritize highlighting removed IDs in red for visibility and communication across the tracker team.

  • Ensure Completeness: Review and verify that all necessary steps are taken before running the BigQuery query to avoid errors.

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This quiz covers the essential steps for cleaning and organizing client data using BigQuery.

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