Big Data

Democratizing Big Data with Visual Analytics

Turbo-charge your business analytics and address your routine to complex Big Data challenges with the truim info analytics platform. Trium info is the only platform that empowers business users with an intuitive, easy-to-use interface to leverage the full spectrum of big data analytics technology, without requiring any data science or IT expertise.

The Trium info interface remains consistent whether you are analyzing a small dataset or performing advanced analytics on a multi-terabyte big data cluster with complex data from sensor, social, Point-of-Sale (PoS), and geo-location sources. Users of any skill level navigate rich, insightful dashboards and analytical workflows simply by interacting with visualizations that represent aggregations of billions of data points.

Big Data Connectivity for High Performance Analytics

Trium info offers three primary types of native integration with Hadoop and other big data sources:

  • Visualizing Data: Native out-of-the-box data connectors that facilitate super fast interactive data visualizations.
  • Performing Calculations:
    • Bring the engine to the data: Integration with in-datasource distributed computing frameworks that enable data calculations of any complexity on big data.
    • Bring the data to the engine: Integration with external statistical engines that get data directly from any data source, including traditional databases.

    Together, these modes of integration offer a combination of visual data discovery and advanced analytics. They enable business users to access, combine, and analyze data from any underlying data structures with dashboards and workflows that are powerful and easy to use.

    Big Data Connectors

    Trium info Big Data connectors support in-datasource, in-memory and on-demand data access modes. As a result of this data access flexibility, fast interactive visualizations are made possible such that data calculations occur within the data stores and the data is moved into client memory if and when it is needed. Trium info native data connectors include:

    • Certified Hadoop data connectors for Apache Hive, Apache Spark SQL, Cloudera Hive, Cloudera Impala, Databricks Cloud, Hortonworks, MapR Drill and Pivotal HAWQ
    • Other certified big data connectors include Teradata, Teradata Aster and Netezza
    • Connectors for OSI PI historical and real-time sensor data sources

    In addition to convenient point-click SQL operations running distributed within the datasource, advanced statistical and machine learning algorithms can be initiated from Trium info to be run in-datasource on very large datasets, only returning the results needed for visualizations in Trium info:

    • Users interact with point-and-click dashboards that call scripts using the TERR instance embedded in Spotfir
    • The TERR scripts initiate distributed computing jobs via Map/Reduce, H2O, SparkR, or Fuzzy Logix.
    • These jobs drive high-performance engines deployed on the Hadoop or other datasource nodes.
    • TERR can be deployed as the advanced analytics engine in Hadoop nodes that are driven by MapReduce or Spark. It can also be called on Teradata nodes.

    Putting it all together

    Combining all these powerful functionalities means that very sophisticated and robust analytic use cases can be encapsulated in easy-to-use interactive workflows

    • Certified Hadoop data connectors for Apache Hive, Apache Spark SQL, Cloudera Hive, Cloudera Impala, Databricks Cloud, Hortonworks, MapR Drill and Pivotal HAWQ
    • Other certified big data connectors include Teradata, Teradata Aster and Netezza
    • Connectors for OSI PI historical and real-time sensor data sources

    Analytical Breadth for Big Data

    Let’s face it, in today’s interconnected world you are faced with complex problems and difficult decisions. Trium info offers powerful capabilities that empower you to transform vast amounts of diverse data into meaningful insights and make the best possible decisions, fast.

    • Advanced and Predictive Analytics
    • Content Analytics
    • Location Analytics
    • Machine Learning

    Real-time Event Analytics

    Insights from visual analytics and modeling in Trium info can be deployed, at the press of a button, to event processing systems and scored/run on real-time streaming data. This allows you to monitor real-time data and alert end users, such as marketers or engineers, when an anomaly occurs or a new trend begin to emerge. The alerts can combine recent event data with historical data, providing context to enable users to investigate an event’s importance and quickly decide on any necessary intervention.

    Trium info Streambase is integrated with Trium info for such real-time streaming analytics. Streambase does real-time math on streaming data; using rules and models published in Trium info. Streambase applies the Trium info insights to streaming data in an automated manner, pushing notifications to a wide array of channels including text, email, database, and BPM systems

    Key Features

    • Scalable data visualizations
    • Intuitive user interface
    • Flexible data architecture
    • Agile Platform