our services
Data Engineering & Infrastructure
Great AI always begins with YOUR data.
AI transformation begins by investing in data and cloud infrastructure. Our talented engineers can help you develop world-class, AI-ready data architectures and cloud solutions that provide scalable information systems and enable generative AI solutions.
Discover the importance of good data architecture and how it can affect your company's overall data strategy.
The HDG Advantage
Clients who invest time, capital and energy into data architecture almost always see ROI in efficiency and employee satisfaction. Optimized data architectures serve as the cornerstone for quality data analytics, visualization, and AI services, and we work closely with our clients to insure that data architecture aligns with data strategy.
Featured Services in
Data Engineering & Infrastructure
The following services are frequently used by our clients, and we will work with you to determine the most appropriate services for fulfilling your immediate business needs while aligning with your organization's IT strategy.
Microsoft Azure is a leading cloud platform designed for advanced data and AI-driven solutions. With cutting-edge tools for machine learning, big data analytics, and AI-powered automation, Azure empowers businesses to unlock the full potential of their data, enabling smarter decisions, faster innovation, and scalable growth.
Amazon Web Services (AWS) is a leading cloud platform, offering powerful data and AI solutions that help businesses unlock insights and drive innovation. With advanced tools for machine learning, analytics, and scalable storage, AWS enables companies to harness the full potential of their data to optimize operations and accelerate growth.
Databricks is a leading cloud-based platform for data engineering, analytics, and AI. It unifies data and AI workflows, enabling businesses to process big data, build machine learning models, and gain actionable insights. Databricks accelerates innovation and data-driven growth.
Snowflake is a super versatile data platform that helps you store, manage, and analyze data—all in one place! With its cloud-native architecture, Snowflake handles everything from big data to real-time analytics with ease. It’s fast, scalable, and built for AI—making your data work for you.
SQL databases are foundational for managing structured data, enabling efficient querying, storage, and retrieval. As a generic term, SQL encompasses popular variations like Azure SQL, RedShift, MySQL, and PostgreSQL, providing flexible, scalable solutions for diverse data management needs across industries. Data architectures like OLTP and OLAP provide powerful methods for storing data and driving data analysis.
NoSQL databases are designed for managing unstructured or semi-structured data, offering flexibility beyond traditional SQL systems. As a generic term, NoSQL includes popular options like MongoDB, Cassandra, Elasticsearch, Couchbase, and CosmosDB, supporting diverse data models for scalable, high-performance solutions.
Azure Data Factory is a cloud-based data integration service that enables the creation, automation, and orchestration of data pipelines. It supports seamless movement and transformation of data from diverse sources, allowing businesses to build scalable ETL processes for analytics and machine learning.
Featured Insights
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