Big Data And Data Management

Data Services

Big Data And Data Management

Unlocking Insights from Vast Data Streams

In today’s data-driven landscape, managing and extracting value from massive datasets is paramount. Our Big Data Processing Services empower organizations to harness the potential of their data, enabling informed decision-making and driving innovation.

At Vithi, we recognize that knowledge is power in the world of big data. Our services empower you to navigate this dynamic landscape, turning data into actionable insights. Let’s unlock the potential together!

Data Ingestion and Collection

Efficient Data Intake: We specialize in collecting data from diverse sources—structured, semi-structured, and unstructured. Our robust data ingestion processes ensure seamless integration into a central repository.

Data Cleansing and Transformation

Quality Assurance: Our experts meticulously cleanse and transform raw data, eliminating inconsistencies, errors, and duplicates. The result? High-quality, usable data ready for analysis.

Analytics Storage Solutions

Data Lakes and Warehouses: We optimize storage solutions for efficient querying and reporting. Whether it’s a data lake, a warehouse, or a NoSQL database, we tailor the architecture to your specific needs.

Real-Time Insights and Automation

Immediate Decision-Making: Processed big data fuels real-time analytics, allowing you to respond swiftly to changing scenarios. Automated actions based on data triggers enhance operational efficiency.

Approaches to Big Data Processing

Batch Processing

  • Ideal for historical data analysis.
  • Parallel computations run on predefined schedules
  • Perfect for retrospective reporting

Stream Processing (Real-Time):

  • Handles data as it arrives
  • Minimal latency (milliseconds to seconds).
  • Supports use cases like personalization and clickstream analysis.

Architecture Modules

Data Sources

  • Originate from sensors, applications, APIs, and more.
  • Provide raw data for processing.

Data Bus:

  • Efficiently routes data from sources to processing components

Stream Processing Component:

  • Processes real-time data streams, executing transformations and aggregations.

Big Data Storage:

  • Houses processed data for querying and reporting
  • Includes data lakes, warehouses, or NoSQL databases.

Popular Architecture Options

Lambda Architecture:

  • Combines batch and stream processing
  • Enables both historical and real-time analytics.

Kappa Architecture:

  • Stream processing-centric
  • Ideal for real-time applications.

Why choose us

Vithi has an excellent track record of managing, Designing, Implementing & Deploying numerous projects which are mission critical to our customers focused mainly on on-time delivery with quality driven by SMEs across technologies


We offer innovative and creative thinking, delivering “real” cost effective solutions to our customers


Quality is the key that enables us to provide exceptional services to our customers which contributes to increasing the customer base

Long-Term Partnerships

Building trusted, long-term partnerships with our customers by blending with your culture.

Industry Best Practices

Applying industry best practices and Frameworks to manage risk, deliver services & optimize costs.

Digital Transformation

Helping our clients to transform their business needs through innovation and Digital Transformation.

Continuous Training

Continuous training and managing the best teams by employing & nurturing our resources


Get free proposal

Unlock your business potential with our free proposal for comprehensive IT services.
Tailored to your needs, our proposal outlines strategic solutions, ensuring success in the ever-evolving market. Seize this opportunity to elevate your business—request your personalized proposal today!