Native Big Data Analytics & Data Lakes


InetSoft's Style Intelligence is natively built upon Apache Spark (although Spark is not required in a smaller deployment). In contrast with other analytics software, Apache Spark is not just accessed as an external data source. Instead, InetSoft's Style Intelligence drops into an Apache Spark cluster and takes full advantage of the services offered by this platform.

Style Intelligence can also be deployed with its own built-in Spark cluster. In this case, only minimum expertise in Spark is required of customers. The cluster is mostly configured and administrated by Style Intelligence behind the scenes to maximize data processing and mashup performance.

Data lake have become a viable, sometimes even preferred, alternative to data warehouses for some applications. Since it operates off of raw data by design, it approaches data analytics from a very different direction. InetSoft's native Spark integration makes data lakes accessible like all other data sources.

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Mash Up Human & Machine Intelligence


Because of its native nature, InetSoft brings analytic software to your Big Data instead of the other way around. Style Intelligence's visual user interface makes Big Data sources such as Hadoop files, Hbase, and MongoDB easily analyzable as traditional databases.

Crunching big data is only the beginning. InetSoft's Style Intelligence opens a visual window to advanced technologies such as machine learning for users who are not data scientists. These users are empowered with mash up capabilities that bring together traditional human designed analytics and machine generated intelligence.

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