The terms data warehouse and data lake are often to refer to data storage and analysis solutions. But do you know the differences between them? In this article, we will explain the main features, advantages, and disadvantages of each.
Data warehouse: a structured and integrated data repository
A data warehouse is a repository of data that is , , and (ETL) from a variety of sources, such as operational systems, relational databases, spreadsheets, files, and more. The data is into schemas that follow a dimensional or relational model and are for querying and reporting. A data warehouse may also contain aggregation layers, such as data marts, cubes, or fact tables, that facilitate multidimensional data analysis.
The main advantages of a data warehouse are:
It provides a single, view of the organization’s data from different sources and systems.
It allows historical, comparative and analyses to be out, using business intelligence (BI) or data mining tools.
The main disadvantages of a data warehouse are
It requires a high initial investment, both in hardware and software, as well as in human resources in modeling, ETL and administration.
>It requires considerable time for planning, designing and implementation, as it involves defining requirements, choosing job function email list the architecture, modeling data, developing ETL processes, etc.
Data lake: an unstructured and distributed repository of data
A data lake is a repository of data that is , , and in its original format, without undergoing transformation or standardization. The data can be of any type, , , or semi-, and can come from a variety of sources, such as operating user experience: the new software differentiator systems, relational databases, spreadsheets, files, social networks, sensors, etc. The data is into zones
The main advantages of a data lake are
It offers a czechia businesses directory complete and diverse view of the organization’s data, coming from different sources and systems.
Data warehouse and data lake: how to choose the best solution?
If you have or! semi-data ! from reliable and stable ! sources and to perform ! periodic and analyses! a data warehouse may be the best option.
