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Datameer Spotlight Demo Center


Model Data

Explore & Model

Datameer Spotlight’s virtual modeling capabilities support the most common data transformation functions—like aggregations, filtering, replace/extract, column splits, and JSON parsing—and offer machine learning-guided blend suggestions. A visual point-and-click workbench enables you to accelerate analytics workflows without having to move any data. Beyond that, Datameer Spotlight’s caching functionality further increases performance.


Collaboration & Knowledge Sharing

Datameer Spotlight’s Collaboration feature allows analysts and data scientists to share knowledge on assets and analytic workflows—helping you build a community along the way. Datameer Spotlight supports the concept of shared workspaces, including newsfeeds, notifications, tagging, comments, and following, making it easy to find and engage subject matter experts, reuse assets, and develop a framework of trust around people and analytics.


Publish & Analyze

Analysts and data scientists can connect their favorite tools to Datameer Spotlight—like Tableau, Excel. PowerBI, Looker, Qlik, Spotfire, Jupyter Notebooks, and more. Datameer Spotlight brokers the queries and executes them in its Spark SQL compute framework or pushes it down to a lower-level system, like a cloud-based or on-prem data warehouse.

Combine s3 & snowflake

Combine Snowflake Data with S3 & JSON files to Analyze in Tableau

In this brief video, we show you how to access a JSON file from S3 quickly, parse it, and combine it with a Snowflake table, in a few clicks, before visualizing Tableau’s results.


Combine Cloud and On-Premise Data for Analysis

Combine cloud-based data (in this case, Snowflake and S3) with on-premise data to analyze up in the cloud. Enjoy.