The key components of a data lake architecture are shown in the diagram below. The data lake itself is the UCI. All key technologies are part of the data lake ecosystem. The ETL tools transform the data into a structured or unstructured form, the data warehouse holds the data for long-ter...
Data Sources:All of the sources that feed into the data extraction pipeline are subject to this definition, so this is where the starting point for the big data pipeline is located. Data sources, open and third-party, play a significant role in architecture. Relational databases, data warehous...
Data staging: What is it? The process of arranging and preparing data for additional study or archiving by temporarily storing it in an intermediary repository is known as "data staging." Before being put into a destination database or data warehouse, raw data is cleaned, converted, and verifi...
Data warehouses: A Data Warehouse is the technology that collects the data from various sources within the organization to provide meaningful business insights. The huge amount of data comes from multiple places such as Marketing and Finance. The extracted data is utilized for analytical purposes and...
data mining is a way to recognize hidden patterns from the extracted information of the data required for the business with the help of data wrangling techniques to categorize important data stored in proper data warehouses with the help of data mining algorithms to generate maximum revenue for a...
Designing big data engineer architecture platform Maintenance of the data pipeline Modifying and administering integration tools, databases, warehouses, and analytical systems Data organization and management However, in terms of working with big data, a big data engineer’s tasks are unique. Let’s ...
What is Database The database is a collection of inter-related data which is used to retrieve, insert and delete the data efficiently. It is also used to organize the data in the form of a table, schema, views, and reports, etc. ...