Getting your data from Microsoft SQL Server 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 Microsoft SQL Server 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.
Building a data warehouse in SQL Server can be cumbersome and time intensive. Panoply simplifies the process with its MS SQL Server integration. Seamless and simple, Panoply provides you with a cloud based data warehouse for your RDBMS data, storing it with other data sources and making it instantly available for analysis.
Panoply’s SQL Server integration makes it easy for your data scientists and analysts to explore data, generate custom reports and dashboards, and manage their data from end to end, all without having to write or maintain scripts. Rather than building a data warehouse in SQL server, let Panoply help your data team complete the work in less time.
Microsoft SQL Server Data Warehousing
Microsoft SQL Server 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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