Data Engineering

Powerful Data Engineering Services Customized for Your Business

Today, data is being generated at a much faster pace, volume and variety than ever before in the history of mankind. Some of it is being stored for real-time purposes and some for batch jobs. Data is undergoing a massive transformational and evolving journey over a period of time. It is present in so many formats (audio, text, video, etc.) that you can literally say that data today is amorphous! While some data is stored in any and every place possible, some data does not get stored anywhere. However, it is important to note that data, once stored, must be processed (wrangled, enriched, polished, etc.) before being made available for analysis. In the field of data engineering, there cannot be one solution that can address all the challenges. We believe that the right data solution has to be custom-built for each scenario. It can then be scaled up based on the requirement of our clients. Our approach to data engineering is based on the following stages

A strong foundation is recommended for all data operations. We provide a consulting viewpoint related to which data elements, data sources and data vendors would be appropriate to consider for your digital transformation journey. Our data experts help you prioritize the key data initiatives keeping in mind the overall strategy of organizations. With these measures in place, it becomes easy to formulate the systems for data analysis and performance reporting, leading to more effective decision-making.

Data Foundation: Architecture Assessment Illustration

On Premise Cloud
Cost
  • Large number of servers
  • High consumption of electricity
  • Need teams across the globe for 24×7 monitoring
  • Inexpensive hardware and support
Expansion 
  • Limited storage capacity and performance
  • Need for more physical servers when demand increases
  • Unlimited storage available to accommodate increased demand
  • Available in pay-per-use model
  • Ability to scale-up within minutes
Effectiveness
  • Limited ease of access
  • Ability to access data from anywhere (including mobile devices, tablets, etc.)
Enablement
  • Difficult to maintain real-time data sync between teams and servers
  • Automatically syncs data real-time across teams
Security
  • Highly secure firewalls secure the data at all times
  • High-end data encryption available for data on cloud

Migrating to the cloud-based data ecosystems is a significant ask from many of our clients as they would like to move over their existing legacy systems. We help our clients identify the right tech stack—tool sets, platforms, transformation roadmap, cloud service providers (AWS, Azure, GCP, etc.)—that can enable them in accelerating their modernization initiatives. We create the relevant data lakes and data hubs that would be required to enable seamless migration, eliminating complexities of any kind. With the right modernization strategy, you can unlock the benefits of Artificial Intelligence (AI) and analytics, and become a true data-driven organization.

We offer point-to-point integration of different types, such as integrating data sources into data lakes, and more. For efficient data transfers, we build robust data pipelines, making it easy for our clients to store, view, access, analyze, transfer and integrate data easily without any hassles. With this mechanism in place, retrieving data from different sources becomes easier as well.

Data Foundation

A strong foundation is recommended for all data operations. We provide a consulting viewpoint related to which data elements, data sources and data vendors would be appropriate to consider for your digital transformation journey. Our data experts help you prioritize the key data initiatives keeping in mind the overall strategy of organizations. With these measures in place, it becomes easy to formulate the systems for data analysis and performance reporting, leading to more effective decision-making.

Data Foundation Architecture Modernization

Cost

On Premise

  • Large number of servers
  • High consumption of electricity
  • Need teams across the globe for 24×7 monitoring

Cloud

  • Inexpensive hardware and support

Expansion

On Premise

  • Limited storage capacity and performance
  • Need for more physical servers when demand increases

Cloud

  • Unlimited storage available to accommodate increased demand
  • Available in pay-per-use model
  • Ability to scale-up within minutes

Effectiveness

On Premise

  • Limited ease of access

Cloud

  • Ability to access data from anywhere (including mobile devices,
    tablets, etc.)

Enablement

On Premise

  • Difficult to maintain real-time data sync between teams and servers

Cloud

  • Automatically syncs data real-time across teams

Security

On Premise

  • Highly secure firewalls secure the data at all times

Cloud

  • High-end data encryption available for data on cloud

Data Modernization

Migrating to the cloud-based data ecosystems is a significant ask from many of our clients as they would like to move over their existing legacy systems. We help our clients identify the right tech stack—tool sets, platforms, transformation roadmap, cloud service providers (AWS, Azure, GCP, etc.)—that can enable them in accelerating their modernization initiatives. We create the relevant data lakes and data hubs that would be required to enable seamless migration, eliminating complexities of any kind. With the right modernization strategy, you can unlock the benefits of Artificial Intelligence (AI) and analytics, and become a true data-driven organization.

Data Integration

We offer point-to-point integration of different types, such as integrating data sources into data lakes, and more. For efficient data transfers, we build robust data pipelines, making it easy for our clients to store, view, access, analyze, transfer and integrate data easily without any hassles. With this mechanism in place, retrieving data from different sources becomes easier as well.

Our Expertise with Various Data Integration Tools

Use Cases