Data Engineering

Consolidate, process and visualize complex data sources

Organizations across the globe are observing a massive increase in the data generated from IoT devices, systems and users. To stay competitive, it is essential for enterprises to collate this data to have insights for informed decision making and accelerated business growth. With the right approach towards data engineering, organizations can monetize and maximize the value of their data assets.

IoT, artificial intelligence, machine learning and big data have propelled evolution in the data driven businesses. Data engineering with the help of deep learning uncovers the intelligence of any dataset. At VOLANSYS, we help companies with next-gen data analytics and visualization thereby improving synergies in business and understanding their consumers better.

Data Engineering Services

VOLANSYS has helped companies to solve their data challenges, predict demand patterns improving end-user satisfaction and guide through business strategies based on intelligent insights. Our data engineering team analyzes structured, semi-structured and unstructured data with right technology, processing tools and approach. We provide services for complete data lifecycle management, including data acquisition, storage, modeling and consultation, ETL processing, building pipelines, migration, integration, visualization and analytics.


Data Engineering Tools & Technology Capabilities


Data collection and aggregation: Microsoft SQL server integration services, Kafka, Alteryx

Support and maintenance for complete ETL process

Data storage and ETL processing: Process data and perform data cleansing, data profiling, normalization, text mining, data extraction, data transformation, load data to data warehouses and more

Data modeling and consultation: Structured, semi-structured, unstructured or stored as RDBMS/Big Data, distributed file systems (HDFS), flat files (text, csv, json, logs), emails, websites & web APIs

Continuous integration and deployment

Data visualization

Building data pipeline: Building ETL (extract, transform, load) pipelines to process data in real time

Data migration and integration