12/06/2022 | By: FDS
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.
12/06/2022 | By: FDS
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.
12/06/2022 | By: FDS
A data lake is a storage system that allows users to store, organize, and analyze a variety of data in its original form. It enables users to store and process structured and unstructured data to gain insights and make business decisions. A data lake can also serve as a central repository for large amounts of data from multiple sources.
12/06/2022 | By: FDS
Data warehousing is a technology that enables companies to integrate disparate data sources to collect, analyze, and process data from multiple sources. This allows companies to use the data to make better decisions and improve their business strategies. Data warehousing can also be used to link, visualize and validate data.
12/06/2022 | By: FDS
A neural network is a model that attempts to solve a complex problem by linking different units called neurons. These networks are built on the principle of neural activity, which was developed according to the way the brain works. Neural networks are a type of artificial intelligence used to solve complex tasks. They are widely used in pattern recognition, image recognition, game development and robotics.