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 […]
Nine Key Benefits of Metadata Management
Metadata management can offer many benefits for businesses, for a number of reasons. It is used to establish and enforce rules on defining and discovering an organization’s data assets. Among other things, this allows researchers to locate data quickly and efficiently and helps promote accurate data use. Metadata management is the organization of metadata for […]
Creating a Data Maturity Model: What, Why, How
Creating a data maturity model can be useful for a business that is shifting from minimal use of its data to maximizing its potential. A data maturity model is a blueprint that can help determine the best ways to improve how an organization uses its data. It can identify the gaps in a business’s data […]
How to Become a Data Modeler
There is always a need for data modelers. However, the job description of this career field varies, depending on the needs of the organization. For example, if you become a data modeler working for a startup, you might coordinate with data scientists and data architects in designing a new system – one that includes the […]
Data Integrity vs. Data Quality
Data Quality and data integrity are both important aspects of data analytics. With the rapid development of data analytics, data can be considered one of the most important assets a business owns. As a result, many organizations collect massive amounts of data for research and marketing purposes. However, the value of this data depends on […]
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 […]