CATEGORY: Marketing STATUS: Available
ETL YouTube Analytics data to your data warehouse, such as Amazon Redshift, Google BigQuery, Snowflake, Databricks, etc., in seconds. With Trifacta's YouTube Analytics data connector, you can transform, analyze, and automate your YouTube Analytics data pipeline in real-time. No code required.
Combine datasets from any data source with your YouTube Analytics data. Connect to any data - Trifacta's data integration workflow supports a wide variety of cloud data lakes, data warehouses, applications, open APIs, file systems, and allows for flexible execution, including SQL, dbt, Spark, and Python. Whether it's joining YouTube Analytics data with your Salesforce CRM data, an Excel CSV, or a JSON file, Trifacta's visual workflow lets you interactively access, preview, and standardize joined data to the YouTube Analytics schema with ease.
ETL YouTube Analytics data into a database in order to enrich it with data from other applications, such as your CRM or marketing platform. No longer will your YouTube Analytics data be isolated from the rest of your company’s critical and interconnected activities; instead, you’ll discover new, unforeseen insights and connect the dots across your company like never before.
"Designer Cloud allows us to quickly view and understand new datasets, and its flexibility supports our data transformation needs. The GUI is nicely designed, so the learning curve is minimal. Our initial data preparation work is now completed in minutes, not hours or days."
Marketing: Connect your marketing platform to YouTube Analytics to determine the success of marketing promotions on sales.
Sales: Enrich YouTube Analytics data with CRM data to understand how much YouTube marketing spend has yielded.
Product: Combine product usage data with YouTube Analytics data taken from product tutorials hosted on YouTube to analyze if the tutorials are meeting their intended goals.