Tag: megaladata

In today's digitally driven business landscape, data has become an indispensable asset. The ability to effectively harness and utilize information is a key determinant of a company's success. To remain competitive, organizations must be agile and adaptable to both internal and external changes.

In our previous article, we discussed probability sampling, a method where samples are selected randomly, giving each population member an equal chance of inclusion. This article will explore nonprobability sampling, a technique where samples are chosen based on criteria other than random chance. Before delving into nonprobability sampling, let&#03...

Sampling is a fundamental process in data analysis. It involves selecting a subset of individuals from a larger population to study. By analyzing this sample, researchers can draw reliable conclusions about the structural and statistical properties of the entire population. In this article, we will look into the classification of sampling technique...

Fixed: Memory leaks in Calculator, bugs related to connections, database exports, and multiple text file imports. Improved: Operation of Neural Net, Supernode, Loop, and other components.

Databases are one of the most popular sources of information in analytical projects. Megaladata supports work with various DBMS. This article covers all stages of work with them: connection, import, and export.

ADEAL Systems GmbH, a German vendor of IT solutions and services, and Megaladata, LLC, a data analysis solutions developer, have signed a partnership agreement.

The Calculator is one of the most popular components of the Megaladata platform. Let's look at examples of practical use of the Date/Time functions that are implemented in it.

In this article, we'll explore the rising prominence of data science. As businesses increasingly rely on data to drive informed decisions, the demand for skilled data scientists continues to grow. Technological advancements and a robust job market are contributing to the growing popularity of this exciting field.

Empty values ​​in data can create serious difficulties in processing. Using the NULL value allows you to avoid the uncertainty that arises when operating with them. Let's consider how to correctly process sets of such data.

Popular and exciting as it is, the work of a data professional consists not only of insights and revelations, but involves plenty of routine. Thankfully, more and more tools appear to automate the tasks one has to deal with from day to day, from dataset to dataset. Being a cutting-edge platform, Megaladata is happy to offer you all the special comp...

Data is growing at an explosive rate, but your analysis tools are lagging behind. Does this sound familiar? Excel can't handle the data volumes. Data science specialists are hard to find and expensive to train. Choosing the right software feels like navigating a jungle of options. In the face of all these challenges, what can help?

Last modified: July 2024

Last modified: April 2024

Last modified: July 2024