Getting your data from Google Cloud Storage to Birst 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 Google Cloud Storage and Birst 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.
Panoply integrates with most popular cloud storage systems, including Google Cloud Storage. Google’s Cloud Storage is a secure, only storage system that stores objects via user defined buckets. Panoply makes it simple to move that data into your own Panoply Smart Data Warehouse without any ETL or ELT support.
Once added, your Google Cloud Storage data can be combined and analyzed with all other data sources, giving your analysts an opportunity to identify and drive business decisions from directly within Panoply. Create queries, generate reports, and develop actionable analyses using your Google Cloud data, and all other data you load to Panoply.
Learn more:
Google Cloud Storage Data Warehousing
Google Cloud Storage Business Intelligence
With Birst’s user-friendly BI tools, enterprise users can get analytics on their data with one click. Big data is stored and processed on the cloud and shareable on multiple devices. Even the most complex business processes can be easily programmed into Birst for fast access. This platform’s built-in machine learning-based advanced algorithms and agile architecture meet the growing needs of enterprise business—speed, monetization, security and managed data sharing. Panoply with Birst saves you time and effort by continuously uploading, sorting and simplifying your data. This all-in-one ETL pipeline streams your processed, most relevant data in real time to your storage and output. Panoply is the only fully integrated cloud service that combines an automated ETL with a data warehouse.
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