The descriptive statistic aims to display and organize empirical data using tables, key figures (and also measures) and graphs. This is especially useful for large amounts of data, as it is not easy to understand. The univariate analysis involves describing the distribution of a single variable, and its central tendency including the mean, median, mode and dispersion. In bivariate and multivariate … [Read more...]
Why Can Industries Benefit From Blockchain?
A blockchain makes it possible to transmit information in a tamper-proof manner using a decentralized database shared by many participants so that copies are excluded. The database is also known as a distributed ledger. It is stored on many computers in a peer-to-peer network, with each new node taking over a full copy of the blockchain upon its accession and now having the task of checking and … [Read more...]
What are the advantages and disadvantages of the blockchain?
Blockchain technology raises hopes across industrial boundaries. In particular, the retail trade, logistics and the financial sector have already gained experience. We have an easy to understand article on blockchain written in plain English. A blockchain makes it possible to transmit information in a tamper-proof manner using a decentralized database shared by many participants so that copies are … [Read more...]
Call for Code 2020: The Hackathon to Fight Climate Change
While COVID-19 has created much destruction of human society, the threat of global warming has not gone away. Natural fluctuations in the climate are expected over some centuries but scientists say that the earth is becoming hotter because of the greenhouse effect. Several human activities such as deforestation are increasing carbon dioxide emissions, resulting in extreme weather. Storms such as … [Read more...]
What is Datafication in Data Science?
Datafication is an information technology-driven sense-making process. Business Intelligence (BI) is becoming of growing importance as it has broadened to encompass the applications, tools and best practices required for data science. The increasing availability of big data most typically characterised by 3 Vs - Volume, Velocity and Variety. Big Data Analytics is tying up the loose ends about our … [Read more...]
What is Information Silo?
An information silo is a management system incapable of mutual exchange with other similar systems. Information silo is a derogatory expression that can be used to describe a lack of operational reciprocity. Derived variants are silo thinking, silo vision and silo mentality. In an Information Silo, the data is not properly shared. It remains within each system or subsystem. So, the data silos … [Read more...]
Query Optimization Overview
When we talk about query optimization, we mean improving response times in a relational database management system, because optimization is the process of modifying a system to improve its efficiency or also the use of available resources. In relational databases, the SQL query language is the most commonly used by developers and developers to obtain information from the database. The … [Read more...]
What is Statistical Classification
In the field of machine learning and statistics, classification methods are methods and criteria for classifying objects or situations. Such a method is also referred to as a classifier. Many methods can be implemented as an algorithm; it is also referred to as machine or automatic classification. Classification methods are always application-related, so many different methods exist. The … [Read more...]
What is Pattern Recognition?
Pattern recognition is the science that deals with the processes of engineering, computing, and mathematics related to physical or abstract objects, with the purpose of extracting information that allows properties to be set between sets of such objects. Pattern recognition also called pattern reading, figure identification, and shape recognition—consists of the recognition of signal patterns. … [Read more...]
What Apache Kafka Can Do?
In increasingly complex application landscapes, the handling of data flows is becoming increasingly difficult. Read how Apache Kafka big data technology can help. Linking data from different systems is at the top of the to-do list in application handling. There are many solutions for this, each with advantages and disadvantages. Apache Kafka promises to solve the problem in the way that users have … [Read more...]
What is Semi-Structured Data?
Semi-structured data is the name given in database research (informatics) to information which is not subject to a general structure, but which carry with it part of the structural information. While structured data retention must be based on a database model that contains the appearance of the data elements (objects), semi-structured data lacks one. Semi-structured data does not need to be … [Read more...]