By integrating ClearStory’s Spark-based analysis engine and its built-in data prep and data harmonization capabilities with Google Cloud Dataflow, users can analyze more data, explore and reach fast-cycle, business-ready insights.
The combined solution is an intuitive, scalable solution that is language-agnostic and can be used to perform complex batch or streaming data processing and analytics.
The combination of Google Cloud Dataflow with ClearStory’s Spark-based analysis engine, built-in data harmonization capabilities and intuitive user interface, is said to democratize access to fast-cycle insights so everyone in business can make informed, timely, data-driven decisions using up-to-the-minute data analysis from disparate sources.
The resulting data analysis is visualized using ClearStory’s Interactive, Collaborative Storyboards that let users share and collaborate on insights, ask new questions, and create fresh analysis on various data groupings.
“Through our new product integration with Google Cloud Dataflow, our customers can quickly distill meaningful insights from large, disparate data sets to reach smarter answers faster based on what’s happening that impacts their businesses now,” said Tim Howes, CTO at ClearStory Data.
“By combining Google Cloud Dataflow for its powerful data transformation pipeline capabilities with ClearStory’s Spark-based harmonization and visual, interactive StoryBoards for collaboration, businesses can ask data-driven questions and easily collaborate with less IT dependency,” said Howes.