Big Data Analytics & Visualization Platform
Zigron unlocks the decision making value of the information that connected applications, products and platforms collect. We incorporate powerful data analytics and advanced visualizations tools within connected applications. These tools not only provide real-time, fine-grained insight into operational conditions, but also deeply analyze the data to help expose subtle trends and predict future events.
Zigron data scientists and business domain experts work with clients to define data models, intelligent filters and expert system algorithms that reveal valuable information hidden in the vast volume of raw data gathered by connected applications. Custom, advanced data visualization displays, designed by Zigron UX/UI experts, reveal this information in intuitive formats (without the need of keyboard usage). These displays are interactive, enabling the user to quickly bring the relevant information first before drilling down and explore more related information.
Big Data Platform Overview
Big Data Tools & Technologies
|Tools & Technologies|
|Data Storage Tools & Technologies (Warehousing)||Hbase, Apache Cassanda, MongoDB, Amazon RedShift, Amazon RDS, Amazon DynamoDB+AWS services, Oracle 12c|
|Data Processing||Apache Hadoop, Apache Spark, Hive, Lucene, ElasticSearch, Amazon EMR, ETL Process|
|Data Informatics||Algorithms built based on the models to process data|
|Advanced Data Visualization||D3.js, HighCharts.js, Gmaps, Kibana, Zeppelin|
|Architectural Approaches||ROA (Resource Oriented Architecture), CBSE – Component-Based Software Engineering, ETL(Extract, Transform & Load Approaches), MicroServices|
|Languages||Java, NodeJs, Php, AngularJs, Python, Scala|
|Application Servers||Apache Tomcat, Nginx(Engine-x), JBOSS, IBM WebSphere|
|BI & Analytic Tools||Pentaho (A Comprehensive Platform for Data integration & Business Analytics)|
Zigron Big Data Solutions
- Integrate scalable, cost-effective Big Data frameworks.
- Reveal hidden patterns with advanced informatics & analytics algorithms.
- Create data-driven modeling tools to accurately predict future results.
- Federate information from many applications for global analysis.
- Create sophisticated visualization tools that highlight trends and relationships.