A data dictionary is a catalogue of metadata that contains the definitions and presentation rules for all of an organization's application data and the relationships between the various data objects so that the database is structured in a redundancy-free and uniform manner. It is a use case of a specific data model. In a relational database, a data dictionary is a set of tables and views that … [Read more...]
Data Visualization : What It Is and Why It Matters
Data visualization is the process of translating data into a visual context, and it is one of the aspects of descriptive analysis. It is the process of visualizing our data using histograms, bar charts, pie charts, and box plots. It displays the information in a graphical or pictorial format. This method allows the user to comprehend the data and gain meaningful insights. The primary purpose of … [Read more...]
What is Online Transaction Processing?
Online transaction processing (OLTP), also known as real-time transaction processing, refers to a usage paradigm of database systems and business applications in which the processing of transactions takes place directly and promptly, i.e. without significant time delay. The counterpart is batch processing, in which all business transactions are collected and processed in batch runs – often at … [Read more...]
The Role Of Big Data In E-Commerce
The role of deriving insights out of the enormous volume and variety of data any online business encounters today is mind-numbing. E-Commerce firms that process this gathered data to derive patterns and target customers’ purchasing behavior can benefit greatly. The abundance of data that these E-Commerce firms deal with daily makes the application of Big Data imperative to make smart and … [Read more...]
What is Text Mining?
Text mining or textual data mining, is a bundle of algorithm-based analysis methods for the discovery of meaning structures from unstructured or weakly structured text data. Using statistical means, text mining software opens up structures from texts that are intended to enable users to quickly recognize core information of the processed texts. Ideally, text mining systems provide information that … [Read more...]
What is SWOT Analysis?
SWOT analysis is a strategic planning and strategic management technique used to help a person or organization identify strengths, weaknesses, opportunities, and threats related to business competition or project planning. It is sometimes called situational assessment or situational analysis. Additional acronyms using the same components include TOWS and WOTS-UP. This technique is designed for … [Read more...]
5 Ways To Use Machine Learning In Digital Marketing
Internet-enabled devices have been a part of our lives. One can’t even leave the house without their cellphones in their bags or on their hands. As you’d expect, tech giants have found a way to take advantage of this by continuously analyzing people’s behavior and making decisions based on how they use the internet through their devices. Business owners, big and small, have benefited from machine … [Read more...]
What is Business Informatics (BI)
Business informatics deals with digitization in business, administration and society. Business informatics is a science that deals with the development and application of information and communication systems in business enterprises. From the point of view of computer science, business informatics is applied computer science. Due to its interdisciplinary nature, it has its roots in economics, … [Read more...]
What is Transaction Processing Monitor (TPM)?
A transaction processing monitor (TP monitor) is one of the oldest and best-known forms of middleware whose main task is to support and handle interactions between applications on different, even heterogeneous computer platforms. A transaction monitor provides functionality for developing, leveraging, managing, and maintaining transactional distributed information systems; its most important task … [Read more...]
MLOps Lifecycle and Evaluation of Model Performance
Data science, machine learning (ML) and artificial intelligence have triggered a real hype in recent years and received a lot of attention in the industry. Machine learning methods are used to increase either the productivity of the users or the interactivity of the application. Numerous data science teams spend their time training machine learning models. However, we observe two types of … [Read more...]
What is Database Normalization?
Normalization of a relational data schema (table structure) is the division of attributes (table columns) into several relations (tables) according to the normalization rules (see below) so that a form is created that no longer contains redundancies. A conceptual schema that contains data redundancies can result in changes to the database; it realizes not to change the multiple data contained … [Read more...]
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