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...]
What is Unstructured Data?
In business informatics and computer linguistics, unstructured data is digitized information that is present in a non-formalized structure and which cannot be accessed aggregated by computer programs via a single interface. Examples include digital texts in natural language and digital sound recordings of human language. Unstructured data from structured and semi-structured data is differentiated. … [Read more...]
Reinforcement Learning and Slot Machines
Some people take the plunge and start gambling without any prior knowledge or strategy. Others like to be more methodical in their approach. However, whether you dive into the world of slots or not, as a developer probably you know that Big Data is changing the slot wins in the Casino history. Table of Contents 1 Introduction 2 What are slot machines 3 What is reinforcement … [Read more...]
What is Data-Driven Journalism?
Data-Driven Journalism is the process of obtaining, building, filtering, analyzing and presenting databases, with the aim of generating news. It is a practice derived from Precision Journalism, proposed by Philip Meyer in the 1970s, and Computer-Assisted Reporting (CAR). The first reference to Data Journalism, a term derived from Data-Driven Journalism, was made by programmer Adrian Holovaty … [Read more...]
What is Data Journalism?
Data journalism is a journalism speciality that involves collecting and analyzing large amounts of data using specialized software and making the information understandable to the audience through articles, info-graphics, data visualizations, or interactive applications. Computer-aided journalism was first used on the CBS television network in 1952 to predict the results of the presidential … [Read more...]
What is Big Data Maturity Model
Big Data is about answering business questions. With in-memory data structures, file based storage systems, and massively parallel processing, today we are able to leverage advantages from data. To dig information from that data, any business need to create a functional model which solves their business problems and get the right technology for analytics. Here is where we need data maturity. … [Read more...]
Influence of Digitalization on Marketing : Part III
In the previous part of this series, under the sub-header "Marketing strategies", we have discussed about Customer requirement and Customer acquisition. For many companies, online marketing is the most used medium for customer acquisition. The other points to discuss under the sub-header "Marketing strategies" are Customer loyalty and The challenge for marketing. "Digitization in the field of … [Read more...]
Influence of Digitalization on Marketing : Part II
This is the continuation of first part of the series. A company can only be successful if it pursues clearly defined goals. The term goal is a desired result for the future. To be able to define a goal, it has to be analyzed where you are and where you want to go (e.g. increasing sales, increasing market share, increasing customer satisfaction). These goals can be pursued and implemented through … [Read more...]
Big Data and AI Creating More Humane Customer Service
The use of Big Data and AI will change our everyday work more. When used correctly, they not only can drive the level of automation, but also contribute to more humanity. Regardless of whether Big Data and AI help a commuter to navigate an expert or not, they relieve the peoples from repetitive and error-prone tasks. The more Big Data and AI are been applied to everyday problems, the more it … [Read more...]
Machine Learning in Capital Markets : Part VII
This is the continuation of part VI of Machine Learning in Capital Markets. In the course of this work, a critical examination of the use of various learning methods in the analysis of financial market-specific data showed that machine learning methods are only conditionally suitable for successfully predicting share prices. A look at the results shows that there are sections of the stock … [Read more...]
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