In the multifaceted realm of data management, aspiring to master proactive data observability often mirrors the meticulous craftsmanship that goes into brewing the quintessential batch of beer. It is a symphonic endeavor that calls for a harmonious blend of varied elements, a craft demanding skill, finesse, and an adept understanding of the underlying balances at …read more

In today’s data-driven world, organizations rely on data to make critical decisions, gain insights, and drive business growth. However, as data becomes more abundant and complex, ensuring its accuracy, reliability, and timeliness becomes increasingly challenging. This is where data observability and data quality practices come into play. Data observability is a relatively new concept that focuses …read more

In the current digital era, the power of data has never been more crucial to the success of businesses. Data quality – the degree to which data is accurate, reliable, and applicable – is now a hot topic, as companies scramble to derive the most insights from their burgeoning data reserves. However, navigating the complex …read more

The concept of the data lakehouse has gained significant attention in recent years as a new approach to managing and analyzing data. In this article, we will delve into what a data lakehouse is, its key components, and its benefits for organizations.What is a Data Lakehouse?A data lakehouse is a hybrid data architecture that combines …read more

In today’s data-driven world, organizations are increasingly recognizing the importance of effective data stewardship. A well-implemented data stewardship program ensures that data is managed responsibly, enabling organizations to leverage their data assets for better decision-making and business outcomes. In this article, we will explore the key elements and strategies for building a best-in-class data stewardship …read more

Welcome to the Lights On Data Show, where today we delve into the topic of data strategy pitfalls. Joining us is Dora Boussias, an esteemed expert in the field of data strategy. Dora has an impressive background in IT and a deep understanding of the critical role data plays in organizations. Let’s explore the three …read more

Data ownership is a fundamental concept within data governance that plays a crucial role in ensuring the effective management, accountability, and utilization of data assets. By establishing clear data ownership, organizations can derive numerous benefits and create a solid foundation for successful data governance. Let’s explore and understand the significance of data ownership and the …read more

Identifying data owners is a critical aspect of effective data governance. However, it can be a challenging task, particularly when multiple teams use the same data. This article aims to provide a comprehensive understanding of data ownership in data governance, taking into account various scenarios and offering practical recommendations to help organizations navigate this complex …read more

Data governance is a critical function in any organization that deals with data. It involves creating and maintaining policies, procedures, and standards that govern how data is collected, stored, used, and shared. In a data-driven world, the role of data governance becomes increasingly important. But is data governance the right role for you? Table of …read more

Data management is a critical aspect of modern organizations, as it helps organizations make better decisions and improve their operations. A data management framework is a set of guidelines, policies, and procedures that organizations use to manage their data. A data management framework typically includes processes for data governance, data quality, data integration, and data …read more