How to load data from Timely to BigQuery
Learn how to use Airbyte to synchronize your Timely data into BigQuery within minutes.
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How to Sync to Manually
Step 1: Extract Data from Timely
Begin by accessing your Timely account. Navigate to the data or reports section where your desired data is stored. Use Timely’s export feature to download the data in a CSV format. Ensure the data is organized and complete before proceeding.
Step 2: Prepare Your Local System for Data Handling
Ensure your local system has the necessary tools for handling CSV files. You’ll need a text editor or spreadsheet software like Excel or Google Sheets to review and clean your data. Additionally, install the Google Cloud SDK if it’s not already on your system, as it will be necessary for uploading data to BigQuery.
Step 3: Clean and Format the CSV Data
Open your downloaded CSV file and review the data for consistency and accuracy. Clean up any discrepancies, such as missing values or incorrect formats. Ensure that the CSV file adheres to a schema that will be compatible with BigQuery. Save any changes you make.
Step 4: Create a Google Cloud Project
Log in to the Google Cloud Console and create a new project if you don’t have one already. This project will be where your BigQuery dataset resides. Name your project and take note of the project ID, as you’ll need it for later steps.
Step 5: Set Up a BigQuery Dataset and Table
In the Google Cloud Console, navigate to BigQuery. Here, create a new dataset within your project to house the data. Once the dataset is created, set up a new table. Define the table schema to match the columns in your CSV file, specifying data types for each field appropriately.
Step 6: Upload the CSV Data to Google Cloud Storage
Before importing to BigQuery, upload your CSV file to Google Cloud Storage (GCS). In the Google Cloud Console, navigate to Storage and create a new bucket. Upload your CSV file to this bucket. Ensure the file is publicly accessible or that you have permissions set for BigQuery to access it.
Step 7: Load Data from Google Cloud Storage to BigQuery
Use the BigQuery console or the command line to load your data from GCS into BigQuery. In the BigQuery console, select your dataset and then the table where you want the data to reside. Use the “Create Table” option and choose “Google Cloud Storage” as the source. Input the path to your CSV file in GCS, configure the import options, and execute the load operation. Monitor the process to ensure successful data transfer.
This guide provides a straightforward method to move your data from Timely to BigQuery without relying on third-party tools, offering full control over the data transfer process.