NAllianceTech big data & data lakes solution is aimed at enabling enterprises gain access to real-time business insights. It helps businesses reconfigure their data sources and co-develop a hybrid architecture, which unifies multi-structured data from disparate environments, for deriving high-value intelligence.

NAllianceTech enables clients to leverage mammoth data storage and data lake solutions on-premise as well as on cloud in a cost-efficient manner. The company engages web-based, do-it-yourself visualization techniques, anytime anywhere any device.

NAllianceTech also helps businesses stay competitive by making their processes and systems responsive and aligned to evolving market conditions. The company helps clients design roadmaps for building robust information management systems and increase viability as well as market relevance.



D2I Partner

  • Expertise in the Data to Intelligence (D2I) continuum – data ingestion, data preparation, data integration & unification, data storage, data processing, and data analytics & visualization


Faster Insights

  • Core competence in universal data management from structured, to multi-structured to unstructured with Data Lakes knowledge discovery, and generating faster actionable insights


Streaming Data Pipelines

  • Proficiency in integrating multiple datasets and sources for building streaming data pipelines for real-time business insights


Complex Data to Insights

  • Cognitive technologies to provide the bigger and holistic picture across mammoth data sets as in a jigsaw puzzle


On-Premise & On-Cloud Expertise

  • Design and implementation of data lake and storage solutions on leading platforms – MapR, Amazon Web Services (AWS), Microsoft Azure, Hadoop, MongoDB, Talend, Pentaho in a cost efficient manner


Proprietary IP

  • Artificial Intelligence / Machine Learning (AI / ML) proprietary products for performing advanced analytics on voluminous data stored in data lakes in a safe and secure manner


Web-Based Visualization Models

  • Secure and scalable platform for analyzing Big Data using web based visualization models interoperable with various data lake storage mechanisms, anytime anywhere, any device


Data Visualization

  • Integration of Big Data platforms with data visualization tools –
  • Proprietary tool: Datamatics’ TruBI,
  • COTS tools: Tableau, Qlik Sense, IBM Cognos


Implementation & Support

  • Sustenance activities across the Big Data continuum right from data ingestion, data curation, data storage, analytics, visualization, to mining



Big Data Consulting

  • Big Data Preparedness Assessment
  • Big Data Technology Adoption Consulting
  • Big Data Architecture Assessment
  • Devise Enterprise Strategy Roadmap
  • Data Maturity Assessment & Advice

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Big Data Development

  • Pilot to Production
  • Big Data Development PoC to Production
  • Big Data Cluster Set-up
  • Big Data Platform Integration
  • Map Reduce Development
  • NoSQL Analytics
  • Machine Learning & Predictive Analytics
  • Security management


Big Data Maintenance

  • Run & Maintain Big Data Environment
  • Operate, Manage & Staff
  • Performance Tuning
  • Hadoop Cluster Administration (Onsite & Remote)


Data Management

  • End-to-end Big Data solutions for developing and maintaining clean and unified data for a quick and secure access to enterprise information
  • Integrated and holistic solutions towards 360 degree view of data as a single source of truth and establishing the Data Democracy paradigm


Big Data & Data Lakes

  • Integrated solutions for deriving value from voluminous data sets in real-time by using self-service dashboards for deep query
  • Real-time and actionable business insights from high volume integrated and holistic data sets stored in a highly attuned and elastic search enabled storage


Data Science & Advanced Analytics

  • Business solutions for providing competitive edge to enterprises through Advanced Analytics
  • Faster data validations and enhanced time series analysis
  • Highly customizable reports and dashboards
  • Deep Analytics over complex mammoth data architectures using different modelling techniques


Business Intelligence

  • Self-service dashboards and visual reports with a focus on user engagement and quick decision making
  • Next generation visual analytics
  • 360 degree view of data in a do it yourself (DIY) framework
  • Interoperable and interactive data visualization atop mammoth data sets


Cognitive Sciences

  • Extraction of intelligence from free flowing text in real-time using proprietary tools, high-end technology, and customer-specific solutions supporting multiple languages
  • Artificial Intelligence and Machine Learning algorithms for highly accurate data mining
  • Pattern generation with high accuracy across voluminous data sets

Frequently Asked Questions

Big Data is the high volume, integrated, and composite data set comprising structured, unstructured, and semi-structured data from distributed data sources, which may be existing in silos. It may be generated by the nano-seconds in some cases. This aggregated data enables to generate deep and actionable insights.

Data Lake allows to harbour multi-source, high volume, multi-structured or complex data, which on integration allows to generate actionable insights. It is a highly scalable storage that is hosted either on cloud or on premise.

Data Lakes allow to aggregate high volume, multi-structured, and siloed data that is distributed over multiple sources. They allow to store and integrate the high volume, high variety, and high velocity data or Big Data for analysing it or for generating Big Data Analytics.

Amit Mahajan
N Alliance Tech Commercial Director

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