Big Data & Analytics

Our big data developers use cutting-edge modern technologies to deliver big data solutions that handle massive volumes of information and thus extract useful insights for better business decision-making.


    Data & Analytics

Data Analytics is the process of examining, cleaning, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. By analyzing data, businesses can gain valuable insights into their operations, customers, and markets, and use this information to make informed decisions, improve processes, and drive growth.

Apache Spark

Apache Hive

Apache Cassandra




  • By analyzing data, businesses can make more informed decisions, as they have access to accurate, relevant, and up-to-date information.
  • Data Analytics can help businesses identify areas for improvement and automate processes, leading to increased efficiency and cost savings.
  • Data Analytics can provide businesses with insights into customer behavior, preferences and needs, allowing them to better understand and meet their customers' needs.
  • End-to-end solutions including delivery to required Data Warehouses (including on-prem).


    Data Warehouse

Data Warehousing refers to the process of collecting, storing, and organizing large amounts of data in a centralized repository. The purpose of data warehousing is to provide organizations with a single source of truth for all their data, making it easier to perform data analysis, reporting, and data-driven decision making.

Apache Hadoop


Amazon RedShift

Google BigQuery

Azure Synapse Analytics

Apache Hive

  • Data warehousing makes it easier for organizations to access and analyze their data, enabling them to make more informed business decisions.
  • Data warehousing can help improve the quality of data by standardizing and integrating data from multiple sources. This can reduce the risk of data inconsistencies and errors.
  • Data warehousing can automate many manual data-related processes, saving time and increasing efficiency for organizations.
  • Data warehousing provides a centralized repository for data, reducing the risk of data loss or theft. Additionally, data warehousing solutions typically offer robust security features to ensure that data is protected from unauthorized access.


    Real-time Data Processing

Real-time data processing refers to the instantaneous ingestion and analysis of incoming data points. A continuous data stream is processed as received, and outcomes are stored for review or record.


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Apache Spark Streaming

Google Cloud DataFlow

Amazon Kinesis

Apache Kafka

Apache Storm

Azure Stream Analytics

  • Seamless application experience enabled by responsive application attributes due to real-time analytics.
  • Real-time analytics can detect anomalies and alert to fraudulent activity, improving risk management and keeping end users (and their data) safe.
  • Real-time data analysis is crucial for tracking scores, rewards, and statuses.
  • Real-time data processing increases agility, lowers risk, and informs better business decisions that benefit both organizations and end users.


    BI & Data Visualization

Business Intelligence (BI) refers to the process of transforming data into actionable insights and information that can be used to support decision making. It is a set of techniques and tools that organizations use to collect, store, access, and analyze data in order to gain a better understanding of their business operations.


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Google Chart

Google Data Studio

Apache Storm

Power BI

  • With access to accurate and up-to-date information, organizations can make more informed decisions, leading to better outcomes and increased efficiency.
  • BI provides a centralized view of data from across an organization, enabling executives and managers to gain a better understanding of their business operations and identify areas for improvement.
  • By using BI to monitor customer behavior and preferences, organizations can provide more personalized and relevant experiences, leading to increased customer satisfaction and loyalty.
  • By using BI to analyze market trends and competitors, organizations can gain a competitive edge and make better business decisions.
  • BI can help organizations identify areas where they can reduce costs and increase efficiency, leading to significant cost savings over time.