Big Data Analytics Services

Big Data Analytics Services
Verinon's Big Data Analytics Offerings:
Big Data Analytics Advisory
With our expertise on various Hadoop distributions, MPP, time series databases, cloud storage systems and other emerging technologies, Verinon can help organizations take advantage of industry best technologies by providing advisory services on Big Data Analytics. Verinon can assist in designing, architecting, and deploying solutions, providing recommendations for best practices, and even developing a proof of concept or proof of value based on business needs through advisory services
Big Data Analytics Support Services
Verinon offers Hadoop administration for any distribution, including monitoring and configuration, as well as visualization tools, analysis tools, business intelligence tools, performance monitoring, and data loading as required into the Hadoop environment. Additionally, we provide platform health checks through our Big Data Analytics Support Services. Verinon offers Support Services Engagements in many flexible engagement models
Big Data Analytics Deployment Services
Verinon offers design, and architecture services, deploying a choice of Hadoop distributions, Time series databases, MPP databases, data processing using Hive, Sqoop, Pig, Spark, Nifi, develop the solutions using Java, Scala, Python or Ruby on MongoDB, Cassandra, HBase, or others on AWS, Azure or bare metal deployments. Verinon can help implement Data Lakes, perform relational analysis using RedShift, Vertica or other systems, develop analytics with Spark, R, Python or others and do Visualization, business intelligence reporting using Tableau, Datameer, Alpine, Arcadia or other systems. Verinon can help organizations develop Preventive, Predictive and Prescriptive Analytics on the platform deployed or can develop custom built Sales Analytics, Service Analytics, Distribution Analytics or can even develop competitive analysis depending on the data available. All these advanced analytics support the decision making process for making it easier to increase operational efficiency and reduce costs.
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