ETL is an acronym for extract, transform, load. This describes a computer programming process that automatically extracts, transforms, and loads multiple forms of computer data from a variety of data sources, and then transmits them to a data storage facility or data warehouse repository. ETL was introduced half a century ago in computing circles to help computer techs better integrate and load data into large computer mainframes for computation purposes and data analysis. The ETL process was originally designed to support business intelligence needs. It is still used today, generally for smaller repositories of data, and other forms of data integration software are being used for larger volumes of data.

Why is it important to learn about ETL?

Learning about ETL can help you further your data storage knowledge, which is such a huge part of today's interconnected networks. Knowing ETL will help you understand why companies use the process to sort through their data, decide what to keep, and what to eliminate. Learning ETL can help you manage data projects more efficiently. This is especially true for anyone eager to learn about scalable data analytics processes and optimal business intelligence warehousing.

What type of careers use ETL?

The typical careers for someone who has learned ETL include data warehousing, data storage, network functionality, computer networking, systems architecture, and other similar roles within companies or agencies. Realistically, you could work in just about any data-intensive industry and find employment as an ETL developer. Many industries are moving toward big data repositories, and having the knowledge of ETL processes can be a tremendous asset for someone aspiring to find ETL work.

How can taking online courses help me learn ETL?

When you take online courses about ETL, you can learn the basics of data warehousing for business intelligence. But that's just the start. Within the wide variety of online courses about ETL, you can branch-off to pursue your interests in data warehousing, data storage, SQL database learning, visual modeling, and much more. Learning about these interconnected specialties can help you stay ahead of the big data revolution.

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186 results for "etl"

IBM Skills Network
BI Foundations with SQL, ETL and Data Warehousing
Skills you'll gain: Data Management, Data Warehousing, Databases, SQL, Extract, Transform, Load, Operating Systems, System Programming, System Software, Database Theory, Data Architecture, Database Application, Business Analysis, Apache, Big Data, Database Administration, Statistical Programming, Cloud Computing, Cloud Engineering, Data Visualization, Data Visualization Software, Interactive Data Visualization, Data Science, Data Structures, Computer Architecture, Computer Programming, Linux, Microarchitecture, Programming Principles, Python Programming, Software Architecture, Software Engineering, Theoretical Computer Science
4.6
(17.3k reviews)
Beginner · Specialization · 3-6 Months
IBM Skills Network
IBM Data Engineering
Skills you'll gain: Data Management, Databases, SQL, Data Architecture, Big Data, Data Structures, Database Administration, Database Theory, Statistical Programming, Apache, Extract, Transform, Load, Python Programming, Data Warehousing, Database Application, Data Model, Data Analysis, NoSQL, Data Engineering, Distributed Computing Architecture, Computer Architecture, Database Design, Operating Systems, System Programming, System Software, Programming Principles, PostgreSQL, Algebra, Business Analysis, Computer Programming, Machine Learning, Applied Machine Learning, Correlation And Dependence, Feature Engineering, General Statistics, Graph Theory, Machine Learning Algorithms, Machine Learning Software, Regression, Statistical Analysis, Statistical Machine Learning, Data Visualization, Data Visualization Software, Cloud Computing, DevOps, Leadership and Management, Cloud Engineering, Interactive Data Visualization, Basic Descriptive Statistics, Exploratory Data Analysis, Cloud Applications, Data Science, Hardware Design, Kubernetes, Network Architecture, Network Security, Other Programming Languages, Professional Development, Security Engineering, Algorithms, Computational Logic, Computational Thinking, Computer Networking, Computer Programming Tools, IBM Cloud, Linux, Mathematical Theory & Analysis, Mathematics, Microarchitecture, Project Management, Security Strategy, Software Architecture, Software Engineering, Strategy and Operations, Theoretical Computer Science
4.6
(39.4k reviews)
Beginner · Professional Certificate · 3-6 Months
IBM Skills Network
Data Engineering Foundations
Skills you'll gain: Data Structures, Data Management, Databases, SQL, Python Programming, Database Theory, Data Engineering, Data Analysis, Data Model, Database Application, Programming Principles, Extract, Transform, Load, Data Architecture, Database Administration, Algebra, Database Design, PostgreSQL, Statistical Programming, Basic Descriptive Statistics, Exploratory Data Analysis, Apache, Big Data, Data Science, Data Warehousing, Leadership and Management, Network Security, Professional Development, Security Engineering, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Distributed Computing Architecture, Mathematical Theory & Analysis, Mathematics, NoSQL, Project Management, Security Strategy, Strategy and Operations, Theoretical Computer Science
4.6
(38.8k reviews)
Beginner · Specialization · 3-6 Months
University of Colorado System
Data Warehousing for Business Intelligence
Skills you'll gain: Databases, SQL, Data Management, Statistical Programming, Data Warehousing, Data Science, Database Administration, Business Analysis, Business Intelligence, Data Model, Extract, Transform, Load, Leadership and Management, Basic Descriptive Statistics, Big Data, Data Analysis, Data Architecture, Database Design, PostgreSQL, Accounting, Computational Logic, Computer Graphic Techniques, Computer Graphics, Computer Programming, Data Visualization, Data Visualization Software, Decision Making, Entrepreneurship, Interactive Data Visualization, Mathematical Theory & Analysis, Mathematics, Plot (Graphics), Programming Principles, Scientific Visualization, Spreadsheet Software, Theoretical Computer Science
4.5
(3.7k reviews)
Advanced · Specialization · 3-6 Months
IBM Skills Network
IBM Data Warehouse Engineer
Skills you'll gain: Data Management, Databases, SQL, Database Administration, Data Warehousing, Database Theory, Data Engineering, Statistical Programming, Data Architecture, Database Application, Extract, Transform, Load, Data Model, Operating Systems, System Programming, System Software, Data Structures, Database Design, PostgreSQL, Business Analysis, Apache, Big Data, Leadership and Management, Cloud Computing, Cloud Engineering, Data Visualization, Data Visualization Software, Interactive Data Visualization, Computer Architecture, Computer Programming, Data Analysis, Data Science, DevOps, Hardware Design, Network Security, Professional Development, Security Engineering, Computer Networking, Distributed Computing Architecture, Linux, Microarchitecture, NoSQL, Programming Principles, Project Management, Python Programming, Security Strategy, Software Architecture, Software Engineering, Strategy and Operations, Theoretical Computer Science
4.6
(18.6k reviews)
Beginner · Professional Certificate · 3-6 Months
Google
Google Data Analytics
Skills you'll gain: Data Analysis, Statistical Programming, Data Science, Business Analysis, SQL, Spreadsheet Software, Data Visualization, Business, Data Management, Data Visualization Software, R Programming, Leadership and Management, Exploratory Data Analysis, Statistical Visualization, Change Management, Strategy and Operations, Communication, Statistical Analysis, Data Analysis Software, Business Communication, Data Structures, Tableau Software, Big Data, Cloud Computing, Critical Thinking, Customer Analysis, General Statistics, Plot (Graphics), Probability & Statistics, Small Data, Algorithms, Application Development, Budget Management, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Mining, Data Model, Database Administration, Database Design, Databases, Decision Making, Design and Product, Distributed Computing Architecture, Entrepreneurship, Extract, Transform, Load, Feature Engineering, Finance, Financial Analysis, Full-Stack Web Development, Interactive Data Visualization, Machine Learning, Mathematical Theory & Analysis, Mathematics, Network Security, Other Programming Languages, Problem Solving, Product Design, Programming Principles, Project Management, Research and Design, Security Engineering, Security Strategy, Software Engineering, Software Security, Storytelling, Theoretical Computer Science, Visual Design, Visualization (Computer Graphics), Web Development
4.8
(94.2k reviews)
Beginner · Professional Certificate · 3-6 Months

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bi foundations with sql, etl and data warehousing

In summary, here are 10 of our most popular etl courses

BI Foundations with SQL, ETL and Data Warehousing: IBM Skills Network
ETL and Data Pipelines with Shell, Airflow and Kafka: IBM Skills Network
ETL Processing on Google Cloud Using Dataflow and BigQuery: Google Cloud
IBM Data Engineering: IBM Skills Network
Data Engineering Foundations: IBM Skills Network
Extract, Transform, and Load Data: CertNexus
Data Warehousing for Business Intelligence: University of Colorado System
IBM Data Warehouse Engineer: IBM Skills Network
Google Data Analytics: Google
CertNexus Certified Data Science Practitioner: CertNexus

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Frequently Asked Questions about Etl

ETL is an acronym for extract, transform, load. This describes a computer programming process that automatically extracts, transforms, and loads multiple forms of computer data from a variety of data sources, and then transmits them to a data storage facility or data warehouse repository.
ETL was introduced half a century ago in computing circles to help computer techs better integrate and load data into large computer mainframes for computation purposes and data analysis. The ETL process was originally designed to support business intelligence needs. It is still used today, generally for smaller repositories of data, and other forms of data integration software are being used for larger volumes of data.‎
Learning about ETL can help you further your data storage knowledge, which is such a huge part of today's interconnected networks. Knowing ETL will help you understand why companies use the process to sort through their data, decide what to keep, and what to eliminate.
Learning ETL can help you manage data projects more efficiently. This is especially true for anyone eager to learn about scalable data analytics processes and optimal business intelligence warehousing.‎
The typical careers for someone who has learned ETL include data warehousing, data storage, network functionality, computer networking, systems architecture, and other similar roles within companies or agencies. Realistically, you could work in just about any data-intensive industry and find employment as an ETL developer. Many industries are moving toward big data repositories, and having the knowledge of ETL processes can be a tremendous asset for someone aspiring to find ETL work.‎
When you take online courses about ETL, you can learn the basics of data warehousing for business intelligence. But that's just the start. Within the wide variety of online courses about ETL, you can branch-off to pursue your interests in data warehousing, data storage, SQL database learning, visual modeling, and much more. Learning about these interconnected specialties can help you stay ahead of the big data revolution.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

Filter by

186 results for "etl"

BI Foundations with SQL, ETL and Data Warehousing

ETL and Data Pipelines with Shell, Airflow and Kafka

ETL Processing on Google Cloud Using Dataflow and BigQuery

IBM Data Engineering

Data Engineering Foundations

Extract, Transform, and Load Data

Data Warehousing for Business Intelligence

IBM Data Warehouse Engineer

Google Data Analytics

CertNexus Certified Data Science Practitioner

Serverless Data Processing with Dataflow: Develop Pipelines en Español

Data Manipulation at Scale: Systems and Algorithms

Searches related to etl

In summary, here are 10 of our most popular etl courses

Skills you can learn in Machine Learning

Frequently Asked Questions about Etl

What is ETL?‎

Why is it important to learn about ETL?‎

What type of careers use ETL?‎

How can taking online courses help me learn ETL?‎

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186 results for "etl"

Searches related to etl

In summary, here are 10 of our most popular etl courses

Skills you can learn in Machine Learning

Frequently Asked Questions about Etl

What is ETL?‎

Why is it important to learn about ETL?‎

What type of careers use ETL?‎

How can taking online courses help me learn ETL?‎

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