Getting your data from BigQuery to Looker Studio can be a pain. Managing pipelines for all your data sources just isn’t sustainable, but your reporting can’t be put on hold while you wait for IT or Engineering to get to your ticket.
With Panoply, you can eliminate that hassle—and all that wasted time. Set up code-free connections to both BigQuery and Looker Studio with just a few clicks. Then Panoply will automatically sync your data so it’s ready to analyze when you are.
It’s that simple: Unblock your data with Panoply.
BigQuery allows companies to perform analytics on very large read-only data sets stored within the Google Cloud. Being able to seamlessly access BigQuery data will empower Panoply customers to take this data, combine it with other data sources, and be able to query all the data in one place, which is crucial for data mining. BigQuery’s integration with Panoply lets you not only ingest any data source into one automated cloud data warehouse, but you can also analyze it with any visualization tool you need to get lightning fast insights.
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Documentation
BigQuery Data Warehousing
BigQuery Business Intelligence
Open source Looker Studio is a data analytics tool that anyone with a Google account can access. It includes a gallery of pre-built report templates, and you can add your own custom-built reports to your gallery. It’s easy to connect to your data sources or add multiple data sources to a single report. This user-friendly BI tool builds custom-designed visuals that can be shared with individuals, groups, or the public, and it supports real-time collaboration. In the experimental Data Labs Explorer, you can view, edit, and examine your charts and data. Add enterprise-level support and functionality to your Looker Studio projects with the Panoply integration. Panoply is the only fully integrated cloud service that combines an automated ETL with a data warehouse. This AI-driven all-in-one pipeline quickly and securely processes even big data projects in a continuous stream from extraction to output in your analytics charts and visualizations.
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Documentation
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