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A Brief History of Data Modeling

Data Modeling is the “act” of creating a data model (physical, logical, conceptual, etc.) and includes defining and determining an organization’s data needs and goals. The act of Data Modeling defines not just data elements, but also the structures they form and the relationships between them. Developing a data model requires the data modelers to work […]

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 […]

A Brief History of the Data Warehouse

A data warehouse stores data from in-house systems and various outside sources. Data warehouses are designed to support the decision-making process through data collection, consolidation, analytics, and research. They can be used in analyzing a specific subject area, such as “sales,” and are an important part of modern business intelligence. The architecture for data warehouses was […]

Types of Databases and Their Uses

There are several types of databases, and their differing designs process data in different ways. Providing access to information is the primary purpose of a database. They can be used for a variety of tasks, ranging from storing photos to buying items online to analyzing marketing and sales data. Large amounts of information can be […]

Structured vs. Unstructured Data: An Overview

Structured data and unstructured data are both forms of data, but the first uses a single standardized format for storage, and the second does not. Structured data must be appropriately formatted (or reformatted) to provide a standardized data format before being stored, which is not a necessary step when storing unstructured data. The relational database […]

Graph Database Use Cases

One of the primary advantages of using a graph database is the ability to present the relationships that exist between datasets and files. Much of the data is connected, and graph database use cases are increasingly helping to find and explore these relationships and develop new conclusions. Additionally, graph databases are designed for quick data […]

Achieving Smoother, Quicker Data Modeling

When the Navy SEALS embraced its motto, “Slow is smooth, and smooth is fast,” they may as well have been discussing building data models in the same breath. The SEALS chose the phrase to remind its participants not to rush but to act thoughtfully and deliberately. Data Modeling does the same thing by helping businesses design and update data architectures […]

Database Management Best Practices

Database management best practices promote the efficient use of data throughout the organization. These practices support the collection and storage of quality data, as well as provide easy access to the data by the appropriate people. With today’s data growing in volume and becoming increasingly complex, the intelligent management of data has become a necessity.  […]

Data Quality Tools and Solutions

Data Quality tools can help to make data more trustworthy and more manageable. Inaccurate data promotes poor decision-making, missed opportunities, and lower profits. As use of the cloud continues to grow and become more complex, Data Quality has become a critical issue. Data Quality tools, when used effectively, resolve the issues that cause these problems. […]