The Golden Record is a fundamental concept within Master Data Management (MDM) that identifies and defines the single version of truth, where truth is understood to be data that is trusted to both accurate and correct. When building database tables from disparate data sources, there commonly are issues of duplication of records, incomplete values within […]
The Data Vault data model provides an evolution in the way that enterprise data warehouses (EDW) are designed, constructed, and deployed. Moreover, Data Vault provides a new and powerful way to model data within an enterprise data warehouse (EDW) that is more scalable, extensible, and auditible than conventional modeling techniques. It is an ideal modeling […]
About DevOps DevOps is a software development paradigm that integrates system operations into the software development process. Moreover, DevOps is the combination of application development, system integration, and system operations. With DevOps development and technical operations personnel collaborate from design through the development process all the way to production support. Dev is short for development […]
Continuous Integration (CI) Continuous Integration is a practice utilized by software development teams in which the merging and testing code of code is automated, and code is constantly being integrated into a shared code repository. The merging of code into the shared repository occurs at short intervals and can occur several times within a day. Moreover, each […]
Just as there are numerous practical applications of machine learning, there are also a wide variety of algorithms and statistical modeling techniques that help enable implementations of machine learning to be effective. Some of the most commonly used algorithms and statistical modeling techniques for machine learning include: 1) Linear Regression: Enables the summary and study […]
At the core of machine learning are computer algorithms, which are procedures for solving a mathematical problem in a finite number of steps. And machine learning algorithms are utilized to build a mathematical model of sample data, known as “training data”. Machine learning algorithms can be divided into categories according to their purpose. The main […]
Machine Learning is a combined application of both data analysis and artificial intelligence that provides computer systems the ability to automatically learn and improve from experience without being explicitly programmed. The fundamental idea of machine learning is that computer systems can effectively identify patterns in data and make decisions with minimal human intervention. Moreover, machine […]
Data science is a broad field that refers to the collective processes, theories, concepts, tools and technologies that enable the ability to gain knowledge and insights from all forms of raw data. Further, data science combines different fields of work, techniques, and disciplines in order to interpret data for the purpose of decision making. It employs techniques […]
Search Engine NoSQL Database Search engine databases are NoSQL databases that deal with data that does not necessarily conform to the rigid structural requirements of relation database management systems (RDBMS) as data for search may be text-based, semi-structured, or unstructured. Search engine databases are made to help users quickly find information they need in a high-quality […]
Wide Column / Column Family Database Wide column / column family databases are NoSQL databases that store data in records with an ability to hold very large numbers of dynamic columns. Columns can contain null values and data with different data types. In addition, data is stored in cells grouped in columns of data rather than […]