Advanced Analytics

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Empowering Businesses through Advanced Analytics Capabilities

Enable businesses to take quick decisions by providing Actionable Insights using Big Data Analytics solutions

Service Offerings

Big data strategy

To understand the company’s business and technology objectives and identify how big data can accelerate these them. This encompasses architecture and adoption strategies as well as defining a roadmap for big data

Data Lake Services

To build, assess, and leverage data lake environments in Hadoop, and avoid wasted time and effort on a failed implementation. We help you manage and govern your data efficiently and keep your data trusted, secure, and ready for analytics.

Big Data Applications 

To build Big Data applications and solutions based on Hadoop, Spark, Kafka, NoSQL and other leading platforms. Our experienced team of consultants design and build big data solutions that produce faster time-to-value, with clear architectural blueprints for the long term.

Data Warehouse Modernization

To easily identify, analyze and offload data and workloads from a traditional data warehouse to Hadoop. Ingest multiple sources of data and create complex workflow pipelines for self-service data usage and integration.

Real-Time Analytics

We helps you drive business efficiencies by running analytics on streaming technologies such as Spark Streaming or Storm or Kafka Streaming. Rapidly build and deploy analytics for any industry vertical, any data format, and any use case.

Machine Learning & AI

Make better decisions, at any scale, when it matters. Our machine learning experts help you understand Big Data and predictive analysis in a business language.

Technology

Big Data Strategy

•Maturity assessment, •Architecture and information strategy, •Technology evaluations and recommendations

Big Data Platform

•Build big data platform, on cloud (AWS,Azure, Google)or on premise. •Hortonworks, MapR, Cloudera •Hadoop eco system- Hadoop HDFS, Hadoop MapReduce, Hive, HCatalog, HBase, Oozie, Falcon, Pig, and Sqoop, Spark.

Big Data Engineering

•Data Ingestion, •Data refinement (includes both cleansing and transformation) •Data Enrichment

Big Data Analytics

•Data mining, •Machine Learning, •Descriptive and Predictive Analytics

Visualization

•Tableau •QlikView •Power BI •D3

Custom Analytics

•Java/J2EE, Webservices, Jquery •Mongo DB, Node JS, Kafka, Apache NiFi, Elastic Search,