News / Blog: #database

What does a data engineer do?

A Data Engineer is responsible for creating, managing, and optimizing databases and data storage systems. They write software that captures, processes, transforms, and stores data from various sources. They work closely with Data Scientists and other Data professionals to understand and manage data streams. You will also be able to create data visualizations to make the results descriptive.

What is Data Engineering?

Data Engineering is a branch of computer science that deals with the development, design, implementation and operation of databases, systems and applications for data processing. It includes the use of technologies such as databases, database queries, database administration, data analysis, data warehousing, data mining, business intelligence, and Big Data. It is a very important part of data science and machine learning.

What is data preparation?

Data preparation is a process in which data is prepared for various purposes. In this process, the data is sorted, structured, analyzed and prepared in order to make it usable for specific applications. This can be achieved through various processes such as databases, data aggregation, data manipulation, data analysis and data visualization. Data preparation is an important part of data warehouse design and database management technologies.

What is database design?

Database design is the process of planning, modeling, and implementing a database. It involves the creation of a logical and physical model for the database that includes the data structures, functions, and access rules needed to manage and access the data. It also includes defining the dependencies between the different data components and creating user interfaces that provide the user with easy access to the database.

What is database architecture?

Database architecture is a branch of computer science that deals with the design, organization and management of databases. It includes the development of database models, the definition of storage structures, the specification of access methods, and the implementation of the database. In addition, database architecture also includes planning and managing the network and system resources required to support the database.