Big Data

Possibilities with Big Data, Machine Learning and Data Sciences are exciting, but going from concept to reality has its challenges. The abundance of technology choices makes it difficult for Organizations to know where to start, and making the wrong choice can often drain resources and budgets. With data growing exponentially, the question facing each organization is what is their Big Data and Machine learning strategy? How to combine Big Data with traditional data to drive actionable insights for better decision making? Our team of world-class Data Engineers and Big Data experts can help provide a definitive path towards unlocking insights from your Big Data.

We offer a full life cycle of Big Data Consulting services as described below

Planning & Consulting

  • Understand your short-term and long-term goals
  • Assess current technology environment
  • Identify potential Big Data and Machine Learning use cases and outcomes
  • Recommend Appropriate Big Data tech stack and architecture for the identified use cases
  • Create detailed Big Data stack implementation plan
  • Deliver quick Proof-of-concepts (POC) to bring solution to reality


  • Review data source details and availability
  • Review data transformations needs
  • Define system architecture for Big Data and Machines learning
  • Deploy and configure Big Data technology components
  • Develop data models, data ingestion procedures, and data pipeline management
  • Integrate data
  • Pre-production health checks and testing
  • User training
  • Migrate to Production

Managed Services

  • Monitoring, alerting and resolving issues with Big Data solution
  • Continuously optimize solution for best performance
  • Performance tuning
  • Patching and upgrades
  • Assess and recommend Hardware enhancements to support growing needs
  • Continuous improvement to accommodate changing and new Big Data and Machine learning use cases

Big Data and Machine Learning Technologies

Tangenz Big Data and Machines Learning team comes with various team members with industry and analytics expertise in Big Data, data mining, strategic analysis, predictive analytics and data visualization to provide analytical solutions to client’s business problems. The team leaders have strong foundation in Mathematics and Statistics with academic background of Bachelors and Master degrees from India’s premier Institute for Statistics and Mathematics, Indian Statistical Institute. We support modern Industry-standard technologies to deliver high-quality Big Data and Machine learning solutions


Database Management

  • Apache Cassandra
  • Azure CosmosDB
  • Amazon Redshift
  • Amazon DynamoDB
  • Apache Hive
  • Apache HBase
  • Apache NiFi
  • MongoDB

Data Processing

  • Apache Kafka
  • Apache Spark
  • Apache Flink
  • Apache Storm
  • Druid
  • Hadoop MapReduce


Data Management

  • Apache Airflow
  • Talend
  • Informatica
  • Zaloni
  • Apache Zookeeper
  • Azkaban

Programming Languages

  • R
  • Python
  • Java
  • Scala

Machine Learning

  • Spark's Machine Learning Library
  • TensorFlow
  • Theano
  • Torch

Statistical Modeling & Predictive Analytics

  • Logistic
  • Linear
  • Naïve Bayes
  • Decision trees
  • Random forest
  • Neural networks
  • Clustering
  • KNN
  • Distance measures
  • Hypothesis testing
  • Chi-Square
  • Time Series Modeling