Getting your data from BigQuery to KNIME 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 KNIME 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.
BigQuery Data Warehousing
BigQuery Business Intelligence
KNIME is an open source platform that analyzes and integrates data and designs apps, services and reusable components. Machine learning, AI and predictive modeling are some of the advanced features of this powerful BI tool. With over 2000 modules, you can build your own end-to-end workflow or use one of hundreds of sample workflows to get started fast. Make your KNIME analytics work even faster by adding Panoply with one click. The Panoply KNIME integrator automates all the ETL work for you. It uploads data from any source in minutes, stores it in one place, and then simplifies and sorts the data. The all-in-one Panoply data stack seamlessly updates KNIME output in real time when your source data changes. So your KNIME analysis results are always clean, relevant and up to date.
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