Key differences between database, data warehouse, data mart and data lake
Data Lake contains all raw and unfiltered organization data, it's expedient to use for wider and deeper analysis of raw data. Data lake is a complete solution that acts as a data warehouse, database and data mart...
Database, Data Warehouse, Data Mart, Data Lake: main characteristics and differences
Modern organizations process data daily. However, the data may differ in type, scope and manner of use. This must be considered when choosing the best data solution. Achieving results depends, among other things, on the selected enterprise data manag...
Storage is the key element of data-driven process
The first block in data management is storage. An incorrect strategy to overcome this task, or its complete absence, may lead to other problems in the future. Data volume is constantly growing, so companies need to clearly understand what data is imp...
The Rumsfeld Matrix as an effective tool in the decision-making process
During a briefing on the Iraq War, Donald Rumsfeld divided information into 4 categories: known known, known unknown, unknown known, unknown unknown. ...
AI and ML impact on Data Science
Artificial Intelligence and Machine Learning have contributed to the advancement of data science. These technologies help data scientists conduct anal...
Artificial Intelligence for data analytics
Artificial Intelligence is widely used in many applications, including for data analytics. AI is used to analyze large data sets that allows to obtain...
