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Data Observability: What It Is and Why It Matters

As a process, data observability is used by businesses working with massive amounts of data. Many large, modern organizations try to monitor their data using a variety of applications and tools. Unfortunately, few businesses develop the visibility necessary for a realistic overview.  Data observability provides that overview, to eliminate data flow problems as quickly as […]

Data Governance Roles and Responsibilities

Data Governance, a formalized practice that executes and enforces company-wide data policies, has gained significant traction in the last few years. As of 2022, 81.89% of the participants in a DATAVERSITY® Trends in Data Management(TDM) survey have either implemented a Data Governance program or plan to initiate one. Yet, 54.63% of those surveyed listed a lack of Data Governance as […]

Common Types of Cloud Computing

Before the cloud era, businesses had to rely on in-house data centers and internal hardware and software infrastructures to conduct online business. Organizations had to make substantial investments to set up their websites and networks. Additionally, each business had to hire the right people to manage and monitor their infrastructures. This approach not only added to the […]

How to Become a Data Quality Specialist

First came the data analyst, then came the Data Quality specialist. Data analysts require accurate data to develop business intelligence and, unless someone else is cleaning the data, they must also perform this task. It is time-consuming and interferes with analyzing the data for useful business intelligence.  Enter the Data Quality specialist, who takes responsibility […]

Fundamentals of Prescriptive Analytics

Prescriptive analytics uses historical data to find the best course of action for the future. In a way, prescriptive analytics combines elements from both descriptive and predictive analytics to arrive at actual solutions. The increased preoccupation with everything “data” is now a mainstream trend. The analytics market is expected to reach $190 billion in 2023, growing […]

Data Warehouse vs. Data Lakehouse

The phrase “data warehouse vs. data lakehouse” offers an exciting topic for ongoing debate in the global Data Management world. While businesses have relied on traditional data warehouses for storing structured and semi-structured data for years, the more recent technological solution of the data lakehouse is growing in importance because of its unique ability to provide structure to raw data.  […]

Data Fabric Use Cases

Data is expanding in volume, variety, and sources; therefore, so is the business need for trustworthy, accurate, and timely data for on-demand “competitive intelligence.” Data fabric use cases offer a long-range technological solution for handling the myriad challenges that come with such a complex data ecosystem. This “converged platform,” designed with a unique architecture and […]

Data Strategy Best Practices

Data Strategy, the master plan or blueprint for confronting day-to-day business challenges and meeting pre-defined business goals using data, has gained significant traction. More companies are seeing the connection between following Data Strategy best practices and boosting profit. Gartner estimates that 50% of financial planning and analytics leaders will take charge of developing and refining their Data Strategy. Moreover, […]

Data Cataloging Tools

Data cataloging tools work with data catalogs to make them more efficient. Data catalogs typically come with tools included as part of the data catalog package. The tools included with data catalogs have been developed to support data quality, analytics, and compliance with data privacy regulations. Unfortunately, the number of independently sourced tools for data […]