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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 […]

10 Data Streaming Challenges Enterprises Face Today

Businesses are swamped with a flood of real-time data coming from sources such as websites, social media, digital activity records, various sensors, cloud technology, and numerous machines and gadgets. The list keeps getting longer. The need for immediate analysis and customer insights has pushed the growth of this kind of data sky-high. And with that […]

Why AI Forces Data Management to Up Its Game

The Information Age has flooded the modern enterprise with data. Demand for enterprise storage capacity will only increase in the years ahead. By the end of this decade, new enterprise storage capacity shipments are forecast to be 15 ZB per year, with the active installed base exceeding 45 ZB. Where Is This Growth Coming From?  Business and […]

9 Best Practices for Real-Time Data Management

In the era of digital transformation, data has become the new oil. Businesses increasingly rely on real-time data to make informed decisions, improve customer experiences, and gain a competitive edge. However, managing and handling real-time data can be challenging due to its volume, velocity, and variety. This article will guide you through nine best practices […]

What Is Data Quality? Dimensions, Benefits, Uses

Data Quality (DQ) describes the degree of business and consumer confidence in data’s usefulness based on agreed-upon business requirements. These expectations evolve based on changing contexts in the marketplace. As people get new information and experience different interactions, business requirements face updating, redefining Data Quality needs within the data’s lifespan. Since DQ represents a moving […]