Data is now more than just a simple array of binary numbers in a computer system.
Big Data Science investigations include first-party, second-party and third-party data sources. We explain how they contribute value to a company.
We compare Random Forests, Support Vector Machines and Neural Networks by discussing their way of operation on a high level.
Time Series Forecasting algorithms play a role in determining trends, forecasting, and sales. This makes time series analysis crucial for any organization.
How can Big Data analytics marketing help you read your customer's mind? We take a look at the importance of Big Data analytics for an effective and successful business marketing strategy in the modern day.
Concept drifts in Time Series Data are crucial for analysis and machine learning. We discuss concept drifts and their implications for machine learning.
Everybody's talking about it but everyone seems to have a different perception of it. We breakdown the meaning of eCommerce personalization and how it's important for the ever growing e-business world.
What are Data Science techniques, methods, tools and languages? We answer what Data Scientists do and which methods, tools, techniques and languages they use.
Big Data and Data Science are often mentioned together. Alternatively, it is even referred to Big Data Science directly. Here, we briefly describe where the approaches profit most from the other.
Open source Time Series Databases (TSDB) essential for Big Data Analysis. We compare the shortcomings of Data Warehouses and relational Databases to TSDBs.