Analyze your JSON data in Mode Analytics
Getting your data from JSON to Mode Analytics 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 JSON and Mode Analytics 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.
How it works
Automatically sync and store the data you want with table-level control.
See the JSON data Panoply collects
Query-ready data with just a few clicks
Code-free data pipeline
Fuel your analytics
Integrate with JSON in minutes
JavaScript Object Notation (JSON) is a lightweight data-interchange file format based on the JavaScript programming language. JSON text format is often used to transfer data files between web apps and servers. Its language conventions are like those of other programming languages, which makes JSON convenient for programmers. Because JSON is so easy for both machines and humans to work with, large amounts of source data are often stored in JSON files.
In any data operations, including those that involve JSON files, an ETL method is needed to upload, process, and store JSON and other related data. The Panoply JSON integration makes it easy to extract JSON data, combine it with all your other data sources, and store it in one secure location. Panoply AI-driven data pipeline speeds and manages the entire process on the only enterprise-level cloud service that combines an automated ETL with a data warehouse.
Learn more:
Documentation
JSON Data Warehousing
JSON Business Intelligence
Other connectors with JSON
Integrate with Mode Analytics in minutes
Mode Analytics makes it easy for analysts collaborate and to analyze data in SQL, R, and Python. Mode’s analyst-friendly workflow allows you to query Panoply in SQL then perform complex analytics in R and Python without changing tools. Mode also outputs to Slack for sharing and team collaboration. You can do more faster in Mode with the Panoply one-click integration. The Panoply all-in-one ETL tool expands Mode’s data processing capabilities by uploading data from any source. Panoply saves prep work time because it automatically sorts, processes, and stores all data types in one place. This fully cloud-integrated ETL pipeline continuously streams your latest cleaned data from source to output. So your charts, dashboards, and reports always display the most relevant analytics.
Learn more:
Documentation
Other connectors with Mode Analytics
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