5 Steps to Creating a Blueprint for Successful Cloud Migration in Healthcare
Healthcare organizations undergoing cloud migrations to modernize operations face challenges that are common to those encountered by many organizations today. …
Topic: Big Data
Big Data technologies and use cases for real-time analytics. Big Data technologies, market insights, and use cases for real-time analytics.
Top 10 Hadoop Data Migration Traps
Avoiding these 10 pitfalls will ensure Hadoop data migration success and help avoid costly business risk along the way.
5 Trends Reshaping the Data Landscape
Survey finds that the increased interest in generative AI and predictive AI, as well as the need to support traditional analytical workloads, is leading to a …
How Mature Data Organizations Tackle the Data Quality Problem Differently
Mature organizations are aware of data quality issues and recognize the need to address them. They might take different approaches and use different tools, but …
Data Scientist, ‘Sexiest Job of the 21st Century,’ Could Fall to AI
As AI continues to simplify and automate many of the foundational tasks within data science, the field may face a reckoning on what it truly means to be a data …
How Master Data Management Can Help Organizations Master Supply Chain Complexity
The implementation of MDM can substantially improve supply chain visibility, as it allows for collaborations of product, customer, asset, and location-specific …
Essential Skills to Bridge the Growing Database Skills Gap
With increasing database complexity, the demand for skilled professionals in areas like AI and machine learning, DevSecOps, cloud computing, microservices, and …
Accelerating Digital Transformation in Manufacturing with Enterprise Industrial Connectivity
Enterprise industrial connectivity offers a way to address manufacturing digital transformation data integration challenges by enabling seamless communication …
How the Intersection of Taxonomies, Ontologies, and Semantic Layers Drives Business Growth
The integration of taxonomies, ontologies, and semantic layers is essential for modern enterprises aiming to harness the full potential of their data.
The Importance of Lakehouse Formats in Data Streaming Infrastructure
As data continues to play an increasingly central role in business operations and decision-making, the importance of efficient, flexible, and scalable data …