10 Best Resources To Learn Data Science Online in 2022

Increasing technology and big data mean that organizations must leverage their data in order to deliver more powerful products and services to the world by analyzing that data and gaining insight, which is what the term “Data Science” means. You can jumpstart your career in Data Science by utilizing any of the resources listed above. Make sure you have the right resources and certifications. Now is the time to work in the data industry.

Mainframe Modernization: Making It Happen

Mainframe modernization is a major undertaking that presents a host of options for every organization. These options will vary depending on a number of factors, including business size, tenure, and industry. The following, however, are a few of the key considerations in modernization.

5 Best Practices for Performing Data Backup and Recovery

Data backup and recovery are critical for any organization in the digital age. The field of data science has developed advanced, secure, user-friendly backup and recovery technology over recent years. For anyone new to data backup and recovery, it can be challenging knowing where to start, especially when dealing with large quantities of data. There are some best practices in data backup and recovery that are beneficial for any user or organization. These tips will provide a jumping-off point for creating a customized data protection strategy.

process.science presents a new release

process.science, specialist in the development of process mining plugins for BI systems, presents its upgraded version of their product ps4pbi. Process.science has added the following improvements to their plug-in for Microsoft Power BI. Identcal upgrades will soon also be released for ps4qlk, the corresponding plug-in for Qlik Sense.

Business Intelligence – 5 Tips for better Reporting & Visualization

Data and BI Analysts often concentrate on learning a BI Tool, but the main thing to do is learn how to create good data visualization! BI reporting has become an indispensable part of any company. In Business Intelligence, companies sometimes have to choose between tools such as PowerBI, QlikSense, Tableau, MikroStrategy, Looker or DataStudio (and […]

6 Ways to Optimize Your Database for Performance

Knowing how to optimize your organization’s database for maximum performance can lead to greater efficiency, productivity, and user satisfaction. While it may seem challenging at first, there are a few easy performance tuning tips that you can get started with. 1. Use Indexing Indexing is one of the core ways to give databases a performance […]

CAP Theorem

Understanding databases for storing, updating and analyzing data requires the understanding of the CAP Theorem. This is the second article of the article series Data Warehousing Basics. Understanding NoSQL Databases by the CAP Theorem CAP theorem – or Brewer’s theorem – was introduced by the computer scientist Eric Brewer at Symposium on Principles of Distributed computing in […]

Graphical understanding of dynamic programming and the Bellman equation: taking a typical approach at first

This is the second article of the series My elaborate study notes on reinforcement learning. 1, Before getting down on business As the title of this article suggests, this article is going to be mainly about the Bellman equation and dynamic programming (DP), which are to be honest very typical and ordinary topics. One typical […]

ACID vs BASE Concepts

Understanding databases for storing, updating and analyzing data requires the understanding of two concepts: ACID and BASE. This is the first article of the article series Data Warehousing Basics. The properties of ACID are being applied for databases in order to fulfill enterprise requirements of reliability and consistency. ACID is an acronym, and stands for: […]

Data Warehousing Basiscs

Data Warehousing is applied Big Data Management and a key success factor in almost every company. Without a data warehouse, no company today can control its processes and make the right decisions on a strategic level as there would be a lack of data transparency for all decision makers. Bigger comanies even have multiple data […]