Building an Internal Data Marketplace That Delivers: 10 Essential Steps for Success
An internal data marketplace is the missing handshake between builders and consumers. Following these critical steps for building a marketplace will empower …
Topic: Big data architectures
Why Data Catalogs are Becoming Commodities…and What Comes Next
For CDOs and data leaders, the imperative is clear: move beyond the data catalog mindset. Embrace platforms that provide a holistic view of data health and …
7 Reasons PostgreSQL is a Great Choice for AI Projects
Picking the right database can make or break your AI project. Besides strong integration capabilities, cost-effectiveness and scalability are also key …
A Closer Look at Modern Industrial Communications Protocols
While MQTT and OPC UA are suitable for different use cases, they are often used together. Such a hybrid approach enhances interoperability between cloud …
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 …
Empowering Innovation with Data Mesh: From Fragmentation to Integration
As businesses continue to evolve in the digital age, adopting a Data Mesh framework offers a path to more agile, efficient, and impactful data
How Lakehouse Architecture Will Make Waves in Customer Data Management
Lakehouse architecture is revolutionizing customer data management by eliminating data silos, maximizing flexibility, and improving data quality and …
Open Source and the Data Lakehouse: Apache Iceberg and Project Nessie
The data lakehouse concept presents a harmonious fusion of the strengths of both data lakes and data warehouses.
Data Pipeline Pitfalls: Unraveling the Technical Debt Tangle
Technical debt in the context of data pipelines refers to the compromises and shortcuts developers may take when building, managing, and maintaining the …