Quasar Digital Solutions

Data Engineering

Empowering Decision-Making through Advanced Data Engineering Solutions

Empowering
Decision-Making through Advanced
Data Engineering Solutions

Data Engineering Services for Informed Decision-Making

Global organizations handle substantial volumes of data generated by IoT devices, interconnected systems, and application users 

  • Strategic Technology Integration for Aligning Data Strategy with Organizational Business Goals
  • Providing Engineering Solutions for Comprehensive Data Lifecycle Management
  • Demonstrated Proficiency in Developing Data Analytics & Visualization Solutions Utilizing Data Engineering Tools & Platforms

Optimize the Value of Your Data Assets through Data Engineering Services

The evolution of data-driven businesses has been propelled by IoT, artificial intelligence, machine learning, and big data.

Quasar’s data engineering services provide highly efficient solutions, including next-gen data analytics and visualization, validation and verification of data quality, and implementation of ETL processes. This results in delivering an analytical, data-driven solution for your organization. 

Quasar has assisted companies in overcoming their data challenges, predicting demand patterns, enhancing end-user satisfaction, and guiding them through business strategies based on intelligent insights 

Our dedicated data engineering team adeptly analyzes structured, semi-structured, and unstructured data using cutting-edge technology, processing tools, and a strategic approach. With our engineering proficiency, we deliver end-to-end data engineering solutions, encompassing data acquisition, storage, modeling, consultation, automated ETL processes, pipeline development, migration, integration, and advanced visualization and analytics.

Data Engineering Services

  • Data Structures

Structured data includes Salesforce, Google Analytics, and sales data. Semi-structured data encompasses XML, TCP-IP packets, markup languages, webpages, zip files, and binary executables. Unstructured data involves social media content, contact information, weblogs, emails, requests, service logs, and audio.

  • Architecting Data Solutions

Developing Data Engineering Cloud Solutions, including Data Lakes, Data Warehouses, and end-to-end pipelines. Automating ETL and ELT processes, and designing a cost-effective, scalable, and secure data platform.

  • ETL and ELT Offerings

Creating Efficient Real-time and Batch Data Pipelines, Comprehensive Data Cleansing and Tagging, Precise Data Mapping, Transformation, Validation, and Establishing Robust Data Lake and Data Warehouse Infrastructure.

  • Strategic Data Analytics and Compelling Visualization

Strategic Consultancy: Crafting Plans for Analytical Method Development, Designing Interactive Dashboards and Visualizations, Implementing Managed Reporting Service Platforms including AWS QuickSight, Looker, PowerBI, and other advanced tools

  • Data Storage Management

Proficiency in AWS S3, AWS EFS, Google Cloud Storage, Azure Blob Storage, and Other Cloud Platforms