DATA SCIENCE

Transforming industries with unprecedented business insights and enable taking informed decisions

FRAMEWORKS / PRODUCTS / PLATFORMS

Spark

Scribe

Talend

Java

Spotfire

Grafana

Hp Vertica

Informatica

HDFS

Pig

Apache Kafka

R

SSRS

Prometheus

AWS Redshift

Nagios

Hive

Mapreduce

Pentaho

Tableau

Microstrategy

Splunk

Azure SQL DW

Ganglia

Hbase

Sqoop

Python

Airflow

Looker

Logstash

Erwin

UML

Presto

Flume

Scala

Power BI

Filebeat

Impala

Omnigraffle

ER/Studio

WHAT WE DO IN DATA SCIENCE

Defining strategy and identifying Business Use case and creating roadmaps

Big Data Architecture definition

Defining ETL / ELT Offload Architecture / Orchestration techniques and consulting on same

Hadoop Cluster Management and monitoring

Datastore, Governance & Security Management

Building real time data pipeline and real time data analytics

Fully managed server-less insights using cloud services

Machine Learning and Data mining

Data Visualization Solutions

Data Assessment and Technology Identification

Prototyping and tool evaluation

Data migration and Data Integration

Data cleaning, Data Archiving and Batch Data processing

Integration with existing Enterprise Data Warehouse and Data Sources

Real time data predictions

Inferential Statistical Analysis

Predictive and Prescriptive Analytics

Decision Making by leveraging BI Tools

RESOURCE AS A SERVICE

  • Offshore – Hourly, Part Time & Full Time
  • Onsite – Hire at your location
  • Hybrid – Combination of Offshore & Onsite Team

ODC/BOT

  • Build
  • Operate
  • Transfer(if required)

Dedicated, On-Demand, Secure & Customized – which follow your Practices, Processes, Methodologies & Culture

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