What is ETL, who uses it and why

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What does an ETL framework consist of and what does it work with?
How ETL is used by data analysts
How ETL helps data analysts
Advice from experienced data analysts
Why else do we need ETL frameworks - examples
Conclusion
Many beginning analysts cannot fully understand why it is necessary to study ETL. Many are familiar with the general principles of working with the system, as they include the following actions: extraction, transformation, loading. These principles are clear to many who study the world of Big Data analytics. But students, and even some specialists, do not always grasp the concept right away. Today we will talk about this system in more detail.

What is ETL, who uses it and why

What is ETL, who uses it and whyWhat is ETL, who uses it and why
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What does an ETL framework consist of and what does it work with?
ETL is the most important component of business analytics. The ETL framework is used to implement a large number of information systems. This is done to make them unique and analyze data storage.

Experienced analysts know that there are many greece consumer email list ready-made ETLs. They perform the functions of loading data into corporate warehouses. Below are just a few of these ETLs:

Informatica PowerCenter;
Oracle Data Integrator;
SAP Data Services;
Talend Open Studio.
In practice, these boxed solutions do not bring effective results. Therefore, data analysts try to invent their own conveyor of information delivery and processing.

Let's see why this happens. Let's take a typical set of tasks for an analyst:

Make a data selection from relational DBMS.
Process the received data and save it in an Apache Hive table.
To accomplish this task, data analysts use an ETL framework.