ClearStory Teams up with Google to make Analysis of Large Scale Data Faster
MENLO PARK, CA: ClearStory Data, business-oriented Data Intelligence for everyone, has recently collaborated with Google Cloud Platform to speed up large scale data analytics for unrelated, diverse data.
ClearStory’s analyzing engine is based on Apache Spark which is said to be 100 time faster than Hadoop MapReduce in Memory, or 10 times faster on disk. It’s built-in data prep and data harmonization capabilities combined with Google Cloud Dataflow enables users to be able to analyze more data, explore and reach fast-cycle and get business-ready insights. The combined solution is also intuitive, scalable; that is language-agnostic and well capable of performing complex batch or streaming data processing and analytics.
The 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 unrelated data segments.
"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," explains Tim Howes, Chief Technology Officer at ClearStory Data.
Benefits of using ClearStory Data and Google Cloud Dataflow include reduced cost and time, fast, out-of-the-box data access and data prep and inference, Fast-cycle analytics, Easy business consumption of data insights which enables for faster data-driven decisions, simplicity for technical users and overall increase in efficiency.
"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," he adds.