The Fundamentals of Data Integration

Data integration uses both technical and business processes to merge data from different sources, helping people access useful and valuable information efficiently. A well-thought-out data integration solution can deliver trusted data from a variety of sources. Data integration is gaining more traction within the business world due to the exploding volume of data and the […]

How to Become a Database Manager

Becoming a database manager requires knowing how to deal with both technology and people. The responsibilities of a database manager typically include establishing and enforcing the data standards for the business and troubleshooting any problems with the data or the system.  The database manager often works with other management staff to improve data sharing and […]

A Brief History of Natural Language Processing

Natural language processing (NLP) helps computers understand and use human languages. In the early 1900s, a Swiss linguistics professor named Ferdinand de Saussure died, and in the process, almost deprived the world of the concept of “Language as a Science,” which eventually led to natural language processing. From 1906 to 1911, Professor Saussure offered three […]

Transforming Data Quality with Machine Learning

Machine learning makes improving Data Quality easier. Data Quality refers to the accuracy of the data: High-quality data is more accurate, while low-quality data is less accurate. Accurate data/information supports good decision-making. Inaccurate data/information results in bad decision-making.  So, intelligent decision-making can be supported by supplying accurate information through the use of machine learning.  Machine […]

Master Data Management Best Practices

Modern businesses can stay competitive by using the best practices for master data management (MDM). These best practices promote the use of clean, accurate data about suppliers, customers, and products. This, in turn, supports better analytics and business decisions. A master data management solution supports the development of master data, which can provide consistent, accurate data […]

Data Lineage Use Cases

Data lineage can be described as a historical map of data’s journey within an organization. Use cases, in general, provide an example of how services or techniques can be used, and data lineage use cases are situations in which a form of data lineage can be used. Data lineage tools make tracking the data’s lineage […]

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 […]

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 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 […]

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 […]