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Elements of a Modern Data Warehouse

Businesses are generating vast amounts of information every second. Traditional data warehouses, which were once considered the gold standard for handling and analyzing large datasets, are struggling to keep up with the rapid pace of data growth and evolving analytics requirements. This has given rise to the concept of modern data warehouse, which provides a […]

What Is Data Architecture? Components and Uses

Data Architecture describes the infrastructure that connects a Business Strategy and Data Strategy with technical execution. Ideally, Data Architecture happens within a systematic framework, providing a foundation for people and systems to work with data. Three types of components underlie the architecture infrastructure and connect to drive insights, make data-driven decisions, and manage risk. They include: Specific examples of […]

Data Architecture Online – Free Conference

DATE: July 24, 2024 LOCATION: Online ABOUT THE EVENT: The annual Data Architecture Online (DAO) event will cover key strategies and technologies you need to know in order to build and manage a modern Data Architecture. Tap into the combined expertise of several industry-leading professionals and connect with hundreds of data peers during this day […]

Getting Executive Buy-in for Data Management

Within the last several years, the marketplace has shifted from industrial-produced to data-based. Consequently, many companies have a strong drive to become data-driven, from financial firms to nonprofits. Yet, when C-suite managers and others discuss making money from data, they see the face of data analytics and Data Science. These conversations miss the Data Architecture and Data Management fundamentals […]

What Is Data Modeling? Types, Benefits, Uses

Data Modeling describes the plans and activities around diagramming data requirements for business operations across one or more systems. This blueprint defines unique data entities (such as tables, systems, concepts, and hubs) and their characteristics (such as inheritance, importance, and physical structures) along with how the data flows between entities. Organizations create or update data models anytime, depending […]

Is Your Data Ready for Generative AI?

Generative AI (GenAI) is all the rage in the world today, thanks to the advent of tools like ChatGPT and DALL-E. To their credit, these innovations are extraordinary. They’ve put the power of artificial intelligence and machine learning (AI/ML) into the hands of everyday users. However, these tools have also skewed our perceptions of what […]

Managing Data as a Product: What, Why, How

The concept of managing “data as a product” involves a paradigm shift. By treating data as a product designed for consumer use, rather than a pool of semi-chaotic information, businesses can increase their profits. Many businesses have set up customized data pipelines – or other extreme and expensive steps – in unsuccessful efforts to maximize the […]

Core Data Concepts for Digital Transformation

Without a clear understanding of core data concepts, communications around implementing an organizational Data Management initiative can become a muddle. As different teams come together to plan and organize data activities, they must integrate what they mean about data with any technologies. For example, take the term “Data Governance.” Data engineers building systems and tools to enable […]

Usability and Connecting Threads: How Data Fabric Makes Sense Out of Disparate Data

Generating actionable insights across growing data volumes and disconnected data silos is becoming increasingly challenging for organizations. Working across data islands leads to siloed thinking and the inability to implement critical business initiatives such as Customer, Product, or Asset 360. As data is generated, stored, and used across data centers, edge, and cloud providers, managing a […]