A columnar database is a type of database in which data is organised and stored in columns rather than rows. In a traditional relational database, data is stored in rows and each row represents an instance of an entity. In contrast, in a columnar database, each column represents a variable or attribute and all rows have the same attributes.
This type of data organisation is particularly suitable for data analysis and processing applications, including artificial intelligence and machine learning, as it allows faster and more efficient data retrieval for data aggregation and filtering operations.
Columnar databases are often used in big data applications and distributed processing environments, as they enable high performance in aggregation queries and analysis of large datasets. Some of the most popular columnar databases include Apache Cassandra, Apache HBase and Apache Druid.
More and more companies are taking advantage of the relevant information they extract from the data they possess and generate to improve their processes and discover new ways to [...]
Read More »In order to identify the customer's needs, it is necessary to know their opinion, as this helps to detect where you should improve, what acceptance you [...]
Read More »The current scenario we are experiencing in Spain with the COVID-19 health crisis has led to many companies having to carry out ER [...]
Read More »In the digital age in which we live, artificial intelligence (AI) has emerged as a disruptive force in numerous industries, and the banking sector has been [...]
Read More »
