A raw data store is defined as a database that contains unstructured or semi-structured data in its native format. This type of data store is typically used to hold data that has not been processed or analyzed yet.
What do Crawlers do to raw data store ?
Crawlers visit websites and collect data from them. This data is then stored in a raw data store, where it can be processed and analyzed later.
What do parsers do to raw data store ?
Parsers take the data from a raw data store and extract information from it. This information is then used to generate reports or perform other analysis.
What is the difference between a raw data store and a Data Warehouse ?
A raw data store is a database that contains unstructured or semi-structured data in its native format. A data warehouse is a database that contains structured data that has been processed and analyzed.
What is the difference between a raw data store and a Data Lake ?
A raw data store is a database that contains unstructured or semi-structured data in its native format. A data lake is a repository of unstructured data that has not been processed or analyzed yet.
Raw data stores can be used for a variety of purposes, including storing data for future analysis, holding data that has been collected but not yet processed, or storing data that is still being collected. Raw data stores are often used in data science, as they provide a place to store data that has not been processed or analyzed yet. This allows data scientists to work with the data in its raw form, which can be helpful when trying to understand it. Raw data stores are also used in the text analytics industry. In this case, the raw data store is used to hold unstructured or semi-structured data, such as text documents. This type of data is typically not easy to work with, so storing it in a raw data store can be helpful.
The main difference between a raw data store and a Data Warehouse is that a raw data store contains unstructured or semi-structured data in its native format, while a Data Warehouse contains structured data that has been processed and analyzed. The main difference between a raw data store and a Data Lake is that a raw data store is a database, while a Data Lake is a repository.