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    • Etl

    ETL Courses Online

    Master ETL (Extract, Transform, Load) processes for data integration. Learn to design and implement ETL workflows for data warehouses.

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    Explore the ETL Course Catalog

    • G

      Google Cloud

      Creating a Data Warehouse Through Joins and Unions

      Skills you'll gain: Data Warehousing, Data Integration, Data Synthesis, Data Compilation, SQL, Relational Databases, Data Analysis, Exploratory Data Analysis

      4
      Rating, 4 out of 5 stars
      ·
      6 reviews

      Beginner · Project · Less Than 2 Hours

    • G

      Google Cloud

      Introduction to Data Engineering on Google Cloud

      Skills you'll gain: Metadata Management, Data Sharing, Data Pipelines, Extract, Transform, Load, Google Cloud Platform, Data Migration, Data Warehousing, Apache Airflow, Data Processing, Big Data, Cloud Storage, Apache Spark, Cloud Services, Automation, SQL, Command-Line Interface

      Beginner · Course · 1 - 3 Months

    • A

      Alibaba Cloud Academy

      Big Data Analysis Deep Dive

      Skills you'll gain: Big Data, Data Processing, Data Visualization Software, Apache Hive, Apache Spark, Apache Hadoop, Pandas (Python Package), Data Manipulation, SQL, Extract, Transform, Load, Data Pipelines, Business Intelligence, Data Integration, Database Management, Cloud Storage

      4.6
      Rating, 4.6 out of 5 stars
      ·
      33 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Introducción a Azure Data Factory para Big Data

      Skills you'll gain: Data Pipelines, Big Data, Microsoft Azure, Data Processing, Extract, Transform, Load, Data Integration, Cloud Services, Cloud Infrastructure, Cloud Computing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      20 reviews

      Advanced · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      A

      Amazon Web Services

      AWS Glue Getting Started

      Skills you'll gain: Amazon Web Services, Data Processing, Amazon S3, Data Cleansing, Extract, Transform, Load, Data Architecture, Data Pipelines, Data Integration

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 1 - 4 Weeks

    • E

      Edureka

      Python for Data Visualization and Analysis

      Skills you'll gain: Exploratory Data Analysis, Matplotlib, Data Visualization Software, Data Presentation, Seaborn, Statistical Visualization, Interactive Data Visualization, Plotly, Dashboard, Data-Driven Decision-Making, Scatter Plots, Data Analysis, Pandas (Python Package), Histogram, Box Plots, Jupyter, Web Applications

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      G

      Google Cloud

      Building Batch Data Pipelines on Google Cloud - 한국어

      Skills you'll gain: Data Pipelines, Data Transformation, Extract, Transform, Load, Data Processing, Google Cloud Platform, Data Integration, Serverless Computing, Apache Airflow, Big Data, Apache Spark, Apache Hadoop, Cloud Storage, Performance Tuning

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      C

      Corporate Finance Institute

      Tableau Fundamentals Case Study - Ecommerce Analysis

      Skills you'll gain: Tableau Software, Data Modeling, Dashboard, E-Commerce, Data Visualization Software, Performance Analysis, Data Presentation, Interactive Data Visualization, Data Analysis, Regional Sales, Business Analysis, Key Performance Indicators (KPIs), Business Metrics, Branding

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      Status: Free
      Free
      W

      Whizlabs

      Data Governance with Databricks

      Skills you'll gain: Data Governance, Extract, Transform, Load, Data Access, Metadata Management, Role-Based Access Control (RBAC), Data Cleansing, Databricks, Data Management, Data Pipelines, Amazon Web Services, Data Lakes, Data Security, Personally Identifiable Information, Data Processing, Data Warehousing, Data Quality, General Data Protection Regulation (GDPR)

      3.9
      Rating, 3.9 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      C

      Coursera Project Network

      Azure Data Factory : Implement SCD Type 1

      Skills you'll gain: Data Pipelines, Microsoft SQL Servers, Microsoft Azure, Database Management, Data Warehousing, Data Integration, Data Maintenance, Extract, Transform, Load

      4.3
      Rating, 4.3 out of 5 stars
      ·
      12 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Placeholder
      S

      SkillUp EdTech

      Prep for Microsoft Azure Data Engineer Associate Cert DP-203

      Skills you'll gain: Data Security, Databricks, Data Quality, Microsoft Azure, Data Storage, Data Transformation, Database Design, Data Processing, Data Cleansing, Query Languages, Performance Tuning, Data Integration, Extract, Transform, Load, Data Management, Data Pipelines, Apache Spark

      3.8
      Rating, 3.8 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      M

      Meta

      مهندس Meta لقواعد البيانات

      Skills you'll gain: MySQL, Database Management, Version Control, SQL, Database Design, Database Management Systems, Data Modeling, Relational Databases, GitHub, Databases, Git (Version Control System), Stored Procedure, Extract, Transform, Load, MySQL Workbench, Pseudocode, Django (Web Framework), Command-Line Interface, Data Structures, Object Oriented Programming (OOP), Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      14 reviews

      Beginner · Professional Certificate · 3 - 6 Months

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

    • Creating a Data Warehouse Through Joins and Unions: Google Cloud
    • Introduction to Data Engineering on Google Cloud: Google Cloud
    • Big Data Analysis Deep Dive: Alibaba Cloud Academy
    • Introducción a Azure Data Factory para Big Data: Coursera Project Network
    • AWS Glue Getting Started: Amazon Web Services
    • Python for Data Visualization and Analysis: Edureka
    • Building Batch Data Pipelines on Google Cloud - 한국어: Google Cloud
    • Tableau Fundamentals Case Study - Ecommerce Analysis: Corporate Finance Institute
    • Data Governance with Databricks: Whizlabs
    • Azure Data Factory : Implement SCD Type 1: Coursera Project Network

    Skills you can learn in Machine Learning

    Python Programming (33)
    Tensorflow (32)
    Deep Learning (30)
    Artificial Neural Network (24)
    Big Data (18)
    Statistical Classification (17)
    Reinforcement Learning (13)
    Algebra (10)
    Bayesian (10)
    Linear Algebra (10)
    Linear Regression (9)
    Numpy (9)

    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.‎

    Online Extract Transform Load (ETL) courses offer a convenient and flexible way to enhance your knowledge or learn new Extract Transform Load (ETL) skills. Choose from a wide range of Extract Transform Load (ETL) courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Extract Transform Load (ETL), it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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.

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