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How to load data from TrustPilot to Starburst Galaxy

Learn how to use Airbyte to synchronize your TrustPilot data into Starburst Galaxy within minutes.

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Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a TrustPilot connector in Airbyte

Connect to TrustPilot or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up Starburst Galaxy for your extracted TrustPilot data

Select Starburst Galaxy where you want to import data from your TrustPilot source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the TrustPilot to Starburst Galaxy in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.

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Check out our interactive demo and our how-to videos to learn how you can sync data from any source to any destination.

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How to Sync TrustPilot to Starburst Galaxy Manually

Begin by logging into your Trustpilot account. Navigate to the section where you can manage reviews or data exports, typically found in the settings or reports section. Export the data you require in a CSV or Excel format, which is commonly supported by Trustpilot. Ensure the export contains all necessary fields like review text, ratings, dates, and any other relevant metadata.

After downloading the data file, open it using a spreadsheet software like Excel or Google Sheets. Clean the data by removing any unwanted columns or rows, and ensure consistency in data formatting. Check for and resolve any anomalies such as missing values or incorrect data types to ensure smooth processing in the later steps.

Starburst Galaxy accepts data in formats like CSV, Parquet, or JSON. If your export from Trustpilot was in CSV, you can proceed directly. If necessary, convert your file to a suitable format using tools like Python scripts or spreadsheet software. Ensure that the data maintains integrity during conversion by verifying a few records before proceeding.

Access your Starburst Galaxy account. If you have not set up a workspace, create one by following the interface prompts. Ensure you have the appropriate permissions to upload data and create tables within your workspace. Familiarize yourself with the Starburst interface and available options for data ingestion.

Use the Starburst Galaxy interface to upload your prepared data file. Navigate to the data upload section, typically under data management or ingestion options. Select your file and initiate the upload process. Starburst Galaxy will guide you through mapping the data columns to the appropriate table schema you wish to create or append to.

Define the table schema that matches your data structure. Go to the SQL editor in Starburst Galaxy, and write a CREATE TABLE statement that specifies each column name and data type to align with your uploaded data. This step ensures that your data is organized correctly within Starburst Galaxy and is ready for querying.

Once your data is uploaded and your table is created, perform a few SELECT queries to validate that the data was imported correctly. Check for data consistency, correct column mappings, and overall data integrity. Use Starburst Galaxy's querying capabilities to explore your data further and ensure it meets your analysis requirements.

By following these steps, you will successfully move data from Trustpilot to Starburst Galaxy without relying on third-party connectors or integrations.

How to Sync TrustPilot to Starburst Galaxy Manually - Method 2:

FAQs

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

TrustPilot is an online review platform that allows customers to share their experiences and opinions about businesses they have interacted with. The platform provides a space for customers to leave reviews and ratings, which can help other potential customers make informed decisions about whether to use a particular business or not. TrustPilot also offers businesses the opportunity to respond to reviews and engage with customers, helping to build trust and improve their reputation. The platform is used by millions of people worldwide and covers a wide range of industries, from retail and hospitality to finance and healthcare.

TrustPilot's API provides access to a wide range of data related to customer reviews and ratings. The following are the categories of data that can be accessed through TrustPilot's API:

1. Reviews: TrustPilot's API provides access to all the reviews submitted by customers, including the text of the review, the rating given, and the date of submission.

2. Ratings: The API also provides access to the overall rating of a business, as well as the individual ratings for different aspects of the business, such as customer service, product quality, and delivery.

3. TrustScore: TrustPilot's TrustScore is a measure of a business's overall reputation based on customer reviews. The API provides access to this score, as well as the factors that contribute to it.

4. Business information: The API provides access to information about the business, such as its name, address, and website.

5. Reviewer information: The API also provides access to information about the reviewers, such as their name, location, and the number of reviews they have submitted.

6. Analytics: TrustPilot's API provides access to analytics related to customer reviews, such as the number of reviews submitted over time, the average rating, and the sentiment of the reviews.

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps: 
1. Set up TrustPilot to Starburst Galaxy as a source connector (using Auth, or usually an API key)
2. Choose a destination (more than 50 available destination databases, data warehouses or lakes) to sync data too and set it up as a destination connector
3. Define which data you want to transfer from TrustPilot to Starburst Galaxy and how frequently
You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud. 

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

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