Big Data & Analytics
Big Data Maintenance
Big Data Consulting
Big Data Development

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Big data analytics is the use of advanced analytic techniques against very large, diverse big data sets that includes a variety of data from different sources and in large sizes. Big data analytics can support more accurate and timely decision-making, future result modelling, prediction and improved business intelligence.

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To assist clients in gaining actionable insights from a variety of data sets produced in real-time and on a massive scale, LikeOn Tech uses cutting-edge big data and business intelligence solutions. We give businesses the ability to combine the enormous amount of data from many sources into a comprehensive setting for modelling and forecasting new market prospects.
LikeOn Tech’s experts offer a full range of big data services, from consulting and strategy definition to infrastructure maintenance and support, enabling our clients to get vital insights from previously unexplored data assets. To provide a complete toolset for storing, processing and analyzing massive amounts of data, we integrate a proprietary big data framework with well-known open-source technologies like Apache Hadoop, Spark/Scala, and Kafka
Big data services are used to maximize data value and achieve business goals. Big data services from LikeOn Tech include consulting, implementation, support and big data as a service to help clients benefit from the big data environment.

ADVANTAGES|BENEFITS

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 services 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 & DATA LAKE SERVICES|BIG DATA & DATA LAKE SERVICES

Big Data Consulting

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

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 Lake Services

  • 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

FAQ’s

What is Big Data?
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.
What is a data lake?
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.
Why are Data Lakes required for Big Data and Big Data Analytics?
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.