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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 […]

Fundamentals of Data Access Management

Across all industries, and in businesses of all sizes, one thing holds true: The more you know about your customers, the greater your organization’s chances for success. This makes data your company’s most valuable non-human asset. As the revenue potential of data increases, the job of protecting that data becomes more important and more challenging. […]

Key-Value Databases Demystified

In 1966, a DEC PDP-7 computer was delivered to the Massachusetts General Hospital without any programming. The hospital had invested in a computer but had no way to run it. At this time, there was very little in the way of software options, operating systems, or database support. The hospital did, however, have access to […]

Zero-Trust Architecture Explained

In today’s interconnected digital world, organizations face an ever-increasing threat landscape when it comes to protecting their sensitive data and infrastructure from cyberattacks. With cyber threats becoming more advanced and persistent, relying solely on firewalls and antivirus software is no longer sufficient. Organizations must adopt a proactive approach that continuously verifies user identities, monitors network traffic in […]

Data Engineer vs. Data Analyst

In today’s data-driven world, two data professional roles that play crucial roles are data engineers and data analysts. Both these professionals aid the process of extracting data-driven insights, but they possess distinct skill sets and responsibilities. Below are some key facts about educational backgrounds and job roles of the data engineer vs. data analyst, as well as the […]

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 […]

NoSQL vs. SQL: Five Key Differences

NoSQL and SQL are the two primary forms of database used to store and manage digital data, with each providing key differences that support advantages and disadvantages. SQL deals with relational databases and NoSQL deals with non-relational databases. Both methods store data effectively but differ dramatically in their scalability, relationships, language, and database design. Understanding […]

Data Fabric Tools: Benefits and Features

The term “data fabric” refers to a complete architecture combining physical hardware layers, system processes, and virtual layers to allow data across systems to be accessed, managed, and analyzed at a single location. At the heart of data fabric tools is the concept of a virtual layer that sits on top of existing data infrastructure, such […]