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.
Time Series Databases - The super Dragon. They score with massive paralell scaling and defeat Data Warehouses. They burn the relational competition away with special Time Series query capabilities.
Open source Time Series Databases (TSDB) essential for Big Data Analysis. We compare the shortcomings of Data Warehouses and relational Databases to TSDBs.
What are Time Series Data Models and Time Series Analysis? We compare Time Series Data Models to ordinary relational and more sematic data models.
Big Data analytics are a set of concepts and characteristics of processing, storing and analyzing data […]
Time and viewpoint of the same the object reveal different insights Multi-dimensional Time Series Analysis supports changing viewpoints. Here we see an example based on the italian city Matera
80% of Data Science work is information preparation. We describe foundations of multi-dimensional Time Series Analysis from Data Warehousing OLAP.