Beta Version
The world's leading brands are powered by NETSOL
BMW
Mercedes
Toyota
Daimler
Paccar
BMW
Mercedes
Toyota
Daimler
Paccar
BMW
Mercedes
Toyota
Daimler
Paccar
WHY NETSOL

Generate actionable insights through mature data platforms

Due to data trust issues, limited data platforms and inadequate knowledge, businesses struggle to deliver timely insights. With data engineering and analytics services, enterprises can leverage advisory and operational benefits, focusing on reducing ownership costs and enhancing sustainability longevity.

NETSOL offers AWS services for data engineering, extracting data from various platforms while leveraging intelligent cataloging through trust testing and deployment and accelerating your data efforts with the AL and ML partnership.

  • Service Image

    Data losses

    Globally, businesses lose over $15 million yearly due to poor data quality and management.
  • Service Image

    Market surge

    The global data market is expected to surge to $274.3 billion by 2026,
  • Service Image

    Data lakes

    The data lakes market is expected to hit a high of $20.04 billion by 2028.
  • Service Image

    Engineering growth

    The data engineering market will double to $89.02 billion by 2027 from $43.04 billion in 2022.

AI-powered insights on data engineering services

  • $64.4B blockchain Rise

    The global blockchain market is ready to hit $67.4 billion by 2026, infusing data security and traceability in data engineering.
  • 70% scalability

    By integrating low code / no code technologies in data engineering, businesses can witness 70% scalability of their data pipeline.
  • $3.1T more sustainability

    The sector can ensure annual savings of $3.1 trillion with data-driven environmental monitoring by 2030.
DATA ENGINEERING

Actionable insights with the right data strategy

  • Data migration strategy, development & implementation

    With a proper data migration strategy, enterprises can assess their data, test and validate it, and transform the information into valuable insights. Development and implementation tools assist in change management while implementing post and pre-migration validation with continuous support.
  • Data wrangling & integration services

    Data analytics engineering services can tackle the data wrangling challenge using a diversified data source, and converts it into valuable business insights. We combine it by extracting the data via unique sources, harmonizing it, and streamlining the workflow.
  • Data lakes, data warehouse & data marts

    The algorithm of data engineering relies on robust data storage solutions, where data lakes, warehouses and marts play a significant role. Choose the right solution with us based on your cost, accessibility and data structure needs.
  • Data analytics, reporting & visualization

    Infuse data analytical solutions in your business to extract the true meaning of the data using advanced analytics tools. Get tailored and automated reports with data reporting, where you can add an interactive dashboard for enhanced data visualization.
  • ETL, ELT, data pipeline, workflow & orchestration

    Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) are data movement techniques that assist businesses in transforming their data into meaningful insights. With modern data pipelines, enterprises can effectively manage data volume and complexity.
  • Data modeling, optimization & architecture

    The foundation of data engineering lies in data modeling, optimization and architecture. From defining data relationships to ensuring performance considerations and strategic data designing, NETSOL empowers you to handle the process with brilliance.

Ready to get started?

Explore how NETSOL develops a comprehensive data architecture design, strengthening your data infrastructure with data engineering services.

AWS Advanced Tier Partner

NETSOL is an official AWS Well-Architected Partner. Our team of experienced AWS solution architects can perform a detailed review of your existing AWS infrastructure to identify potential risks, vulnerabilities and areas for improvement based on the six pillars of the AWS Well-Architected Framework.