Excel add in for google bigquery

On the Simba GBQ ODBC DSN. Then, click on the CONFIGURE button.Step 3: In the DSN setup, configure the settings according to your business needs.Step 4: After the configuration is done, click on the TEST button to test the connection.Step 5: Click on the OK test window to save your settings. Troubleshooting Common IssuesHow can I make Queries against BigQuery through an ODBC Connection?To make queries against BigQuery through an ODBC connection, you can follow these general steps:Set up an ODBC Driver: First, you need to install and configure an ODBC driver that supports BigQuery. Google provides an official ODBC driver for BigQuery, which you can download and install on your machine.Set Up ODBC Data Source: With the ODBC driver implemented, set the DSN for the connection. The DSN defines the project’s connection parameters used in the statement, such as the BigQuery Project ID, OAuth credentials, and other settings.Use ODBC-Compliant Tools: Upon successfully configuring an ODBC driver and data source, you will eventually be able to use any ODBC-compliant tool or application to connect with BigQuery. Some of the most common tools include Microsoft Excel, Tableau, or even programming languages such as Python with libraries like pyodbc.Unable to Authorise ODBC BigQuery connectionTo troubleshoot the issue, perform the following steps:Verify service account or user credentialsService Account: If you’re using service account authentication, ensure you have correctly set up and provided the service account credentials (typically JSON format) during the ODBC DSN configuration process.User Authentication: If you’re using user authentication, ensure that the username and password provided in the ODBC configuration are correct and have the required permissions in BigQuery.Check ODBC Driver ConfigurationDSN Configuration: Double-check the configuration of your ODBC Data Source Name (DSN). Driver Compatibility: Ensure that the Samba ODBC Driver you use is compatible with BigQuery.Check Permissions in Google Cloud

Stay informed about the latest updates in Google Sheets.March 2024Use improved filters for merged cells in Google Sheets For ranges with vertical merges, you can create a filter and select various filter types, such as: Condition Values Colour For ranges with horizontal merges, you can create a filter and select various filter types, such as: Condition Values Colour Sort by values or colour Learn how to sort and filter your data.Set up drop-down chips easily in Google Sheets You can now insert preset drop-down chips set up for common use cases like priority or review statuses. When you insert a preset drop-down, use the data validation sidebar to easily adjust the options or add styles. Learn how to create an in-cell drop-down list.Use smooth scrolling in Google Sheets for computer You can scroll to a specific part of a row or column and stop anywhere within the spreadsheet. It works when you use scrollbars, instead of a mouse or trackpad, and in all Sheets features like: Frozen rows Hidden columns Charts Buttons Comments Right-to-left layouts Learn about increased timeout time in connected sheetsImport and convert sensitive Excel files You can now import and convert sensitive Excel files into Google Sheets with client-side encryption. Whether you work with external or internal users, you can use both Google Sheets and Microsoft Excel. Learn how to work with encrypted files in Sheets.Find new filters for Looker and BigQuery in connected sheets With Looker: Check if these filters are applied in their Google Sheets:

Looker-defined filters Always_filters Conditionally_filters With BigQuery: Right-click any value in the connected sheets preview and filter rows based on that value. To re-fetch the preview, a new query is sent to BigQuery. This new option allows you to easily explore data in the connected sheets preview for BigQuery. Learn how to sort and filter BigQuery data in Google Sheets.Use functions in connected sheets for BigQuery You can show context-aware Help Centre content in Sheets for the 23 supported Sheets functions, like AVERAGE and XLOOKUP. When you create a formula that can query BigQuery, the formula shows descriptions for connected sheets functions. Otherwise, the formula shows descriptions of native Sheets functions. Learn more about the XLOOKUP function.Learn new ways to use the Google Sheets app on iOS devicesNovember 2023Use enhanced Smart Fill in GeminiEnhanced Smart Fill in Google Sheets is available to users on work or school accounts through a Gemini for Google Workspace add-on, and to users on personal accounts through Google One AI Premium. Use enhanced Smart Fill with Gemini.Convert hyperlinked text to smart chips When your hyperlinked text matches the text of a smart chip in Sheets, you're prompted to convert an inserted file, people, calendar event, YouTube or place link into a smart chip. Learn how to insert smart chips.Use timeline view on Android and iOSOctober 2023Use emoji reactions in commentsAugust 2023Organise with Gemini in Google SheetsIn Google Sheets, you can use the 'Help me organise' prompt to create tables with artificial intelligence. Learn how to organise

The =FORECAST function can be used to predict future data points based on historical data. This is particularly useful in business settings where you need to forecast sales or inventory levels. Here's a simple way to use it:=FORECAST(new_x, data_y, data_x)In this formula, new_x represents the new data point you're predicting, data_y is your existing data, and data_x is the independent variable. With just a few clicks, you can create a predictive model right within your spreadsheet.One of the greatest benefits of using AI in Google Sheets is the ability to automate repetitive tasks. Imagine never having to manually sort data or update charts again. Sounds like a dream, right?Google Sheets allows for automation through tools like Google Apps Script, which is a JavaScript-based language that lets you write custom scripts to automate almost any task. For instance, you can create a script that automatically sends out email reports based on data changes, updates charts, or even triggers alerts when certain thresholds are met.Here's a simple example of how you might use Google Apps Script to send an email alert when a cell value exceeds a certain number:function sendAlert() { var sheet = SpreadsheetApp.getActiveSpreadsheet().getActiveSheet(); var cell = sheet.getRange("A1").getValue(); if (cell > 100) { MailApp.sendEmail("[email protected]", "Alert", "Value exceeded 100!"); }}This script checks the value in cell A1, and if it exceeds 100, sends an email alert. It’s a straightforward way to keep tabs on important metrics without having to constantly check your spreadsheet.Google Sheets also integrates seamlessly with other Google AI tools, such as BigQuery for data analysis. BigQuery is a cloud-based data warehouse that allows you to run super-fast SQL queries on large datasets.By connecting Google Sheets to BigQuery, you can pull in massive datasets and analyze them without ever leaving your spreadsheet. This is a game-changer for businesses that deal with large amounts of data but don’t have the resources for a full-fledged data analysis team.To connect Google Sheets to BigQuery, navigate to the Add-ons menu and select "Get add-ons." Search for BigQuery and follow the prompts to install. Once that's done, you can import data directly from BigQuery into Google Sheets and use AI to analyze it. This integration makes complex data analysis more accessible to everyone.Visualizing data is essential for understanding and communicating insights. Thankfully, AI can also help improve how you visualize data in Google Sheets. While Google Sheets already offers a range of chart types, AI