New Service Mesh Survey Notes Interest, Not Feasibility
More companies are interested in deploying a service mesh, but it may not be the right choice for all.
Data Architecture
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Enabling Innovation with the Right Cloud Data Architecture
With the wrong data architecture, businesses often end up collecting a huge amount of unstructured data but fail to achieve the business goals set out by the company.
Data Lake vs. Data Warehouse vs. Data Lakehouse: What’s the Difference?
The data lakehouse is fast becoming the default choice for enterprises that want to balance agility with trust.
Experts Weigh in on Data Modernization
In a recent TDWI webinar, experts outline best practices for data modernization and the main drivers for companies to make the change.
The Semantic Layer: The Hidden Accelerator for AI-Ready Data Architectures
There is no one-size-fits-all solution when it comes to implementing a semantic layer. The right approach for any organization will depend on its data stack, team structure, use cases, and existing tooling.
Top Conferences for Data and AI Professionals Working with the Cloud – Fall 2025 / 2026
One of the best ways for data and AI professionals working in the cloud to keep pace with rapid developments in the field is to talk with peers and hear industry experts talk. The best way to do that is to attend some of these conferences.
The Rise of Semantic Intelligence: Why Context is the Missing Link in AI and Analytics
With the rise of AI, semantic intelligence and governed data models that organize data in a central and structured way are essential.
One Year of Apache Polaris
What sets Polaris apart is not just its open governance model but also how rapidly it delivers real-world value.
Building Data Success: Empowering Growth with a Customer Data Cloud
Customer data is the building blocks to an engaging and profitable customer experience. By leveraging a scalable cloud solution to activate and organize this data, businesses can make the most of untapped data and transform their marketing strategies, ultimately enhancing customer experiences and driving growth.
Activating an Active Metadata Knowledge Graph for Data Management Applications
Activating knowledge graphs for data management applications offers a powerful way to enhance both analytical and operational processes. By unlocking the relationships between data assets, business metadata, and inferred connections, businesses can derive actionable insights, streamline compliance efforts, and build resilient, automated pipelines that adapt to changes over time.
What 2024’s Data Management Report Means for Business
Discover key trends from Ocient’s 2024 Data Management Report, from cost control to sustainability, and what they mean for business leaders navigating today’s tech landscape.
The Power of Data Products
Discover how a data product mindset can help reduce complexity and harness the power of data for better business outcomes all around.