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What is causal analysis?

12/06/2022 | By: FDS
Causal analysis is a method used to investigate what factors led to certain outcomes. It is a method used to identify possible causes of a particular outcome and then examine the relationship between the causes and the outcome. It is often used in research to examine relationships between variables to understand why certain events or outcomes occur.
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What is a forecasting tool?

12/06/2022 | By: FDS
A forecasting tool is a program or system used to predict future events or outcomes. It is commonly used in various industries, including finance, marketing, business, and weather. Forecasting tools can use different types of methods and algorithms to analyze data and make predictions. These include simple statistical analysis, complex machine learning algorithms, regression analysis, and data mining techniques.
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What is Data Engineering?

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.
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What does a data engineer do?

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.
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What is a data lake?

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.
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