AI & MACHINE LEARNING
BESPOKE DATA VISUALISATIONS
CUSTOM SOFTWARE DEVELOPMENT
CLOUD & OPERATIONS
DATA & ANALYTICS
EMBEDDED & ENGINEERING
IOT & CLOUD
EBOOK/HOLISTICON CONNECT
DaTA ENGINEERING Essentials: Building Scalable Cloud DATA Platforms for Biotech
In the rapidly evolving biotechnology industry, managing and leveraging increasing volumes of data has become a critical challenge. From research and clinical trials to genomic studies, the demand for scalable, efficient, and secure data solutions is higher than ever. This guide from Holisticon Connect provides practical insights into building modern cloud data platforms that help biotech companies accelerate innovation, optimise costs, ensure regulatory compliance, while providing scalability and advanced analytics capabilities.
Key Insights
1. Building Blocks of a Successful Cloud-Based Data Platform
Learn how to build a strong foundation for managing biotech data with the right infrastructure, well-designed data pipelines, robust governance, and advanced analytics capabilities.
2. Power BI: Transforming Biotech Data Into Insights
Discover how Power BI enhances biotech operations
3. AWS Native vs Snowflake: Practical Comparison
Determine the best fit for your biotech data platform.
4. Key Components of a Solid Data Architectural Foundation
Explore key frameworks like Databricks, Data Vault, and Kimball’s modelling to create flexible, compliant, and analytics-optimised architectures.
5. Data Processing fundamentals
Understand core components, processing patterns, optimisation strategies, and solutions to common data challenges in biotech.
DOWnload ebook.
Discover tools, strategies, and architectural frameworks for building cloud data platforms that enable biotech innovations.