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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

      ETL Processing on Google Cloud Using Dataflow and BigQuery

      Skills you'll gain: Data Pipelines, Extract, Transform, Load, Dataflow, Data Processing, Scripting, Google Cloud Platform, Big Data, Scripting Languages

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Intermediate · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Data Engineering, Big Data, and Machine Learning on GCP

      Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Real Time Data, Data Lakes, MLOps (Machine Learning Operations), Dashboard, Data Warehousing, Extract, Transform, Load, Cloud Engineering, Data Infrastructure, Cloud Infrastructure, Cloud Storage, Big Data, Tensorflow, Unstructured Data, Data Integration, Data Migration, Data Processing, Data Visualization Software

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18K reviews

      Intermediate · Specialization · 3 - 6 Months

    • E

      Edureka

      Data Integration and ETL with Talend

      Skills you'll gain: Extract, Transform, Load, Data Integration, Data Migration, File Management, Data Mapping, Data Management, Data Transformation, Database Software, Database Management, Data Pipelines, Metadata Management, Data Manipulation, Data Quality

      Intermediate · Course · 1 - 4 Weeks

    • A

      Amazon Web Services

      Data Analytics and Databases on AWS

      Skills you'll gain: Extract, Transform, Load, Data-Driven Decision-Making, Amazon Web Services, Data Warehousing, Big Data, Databases, Business Analytics, NoSQL, Data Analysis, Data Pipelines, Unstructured Data, Data Processing, Cloud API, SQL, Data Storage, Relational Databases, Data Transformation, Data Visualization Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      53 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Snowflake

      Snowflake Data Engineering

      Skills you'll gain: Data Pipelines, Database Management, Data Manipulation, Databases, Data Transformation, Extract, Transform, Load, Data Lakes, Data Warehousing, DevOps, Data Integration, SQL, Cloud Applications, CI/CD, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Real Time Data, Data Import/Export, Role-Based Access Control (RBAC), Stored Procedure, Command-Line Interface

      4.8
      Rating, 4.8 out of 5 stars
      ·
      177 reviews

      Beginner · Professional Certificate · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      CertNexus

      Extract, Transform, and Load Data

      Skills you'll gain: Extract, Transform, Load, Data Manipulation, Data Cleansing, Data Processing, Data Transformation, Data Warehousing, Data Integration, Data Quality, Data Import/Export, Data Collection

      4.7
      Rating, 4.7 out of 5 stars
      ·
      31 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Modernizing Data Lakes and Data Warehouses with Google Cloud

      Skills you'll gain: Data Lakes, Data Warehousing, Cloud Engineering, Google Cloud Platform, Data Infrastructure, Cloud Storage, Data Pipelines, Big Data, Data Processing, Data Transformation, SQL, Scalability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Instructor Network

      Data Engineering: Pipelines, ETL, Hadoop

      Skills you'll gain: Data Pipelines, Apache Hadoop, Extract, Transform, Load, Data Transformation, Apache Hive, Data-Driven Decision-Making, Big Data, Data Warehousing, Data Infrastructure, Data Lakes, Data Architecture, Apache Spark, Data Integration, Data Processing, Data Management

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Data Management with Databricks: Big Data with Delta Lakes

      Skills you'll gain: Databricks, Data Lakes, Data Pipelines, Data Integration, Extract, Transform, Load, Dashboard, PySpark, SQL, Data Management, Data Transformation, Version Control

      4.2
      Rating, 4.2 out of 5 stars
      ·
      26 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Building Batch Data Pipelines on Google Cloud

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

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      BigQuery for Data Analysts

      Skills you'll gain: Looker (Software), Big Data, SQL, Data Pipelines, Data Transformation, Extract, Transform, Load, Data Warehousing, Data Cleansing, Data Analysis, Data Visualization Software, Google Sheets, Google Cloud Platform, Data Import/Export, Data Integrity

      4.5
      Rating, 4.5 out of 5 stars
      ·
      57 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      ETL pipelines con Python: recopila datos de Spotify

      Skills you'll gain: Interactive Data Visualization, Data Transformation, Data Visualization Software, Business Intelligence, Data Analysis, Extract, Transform, Load, Exploratory Data Analysis, Pandas (Python Package), Data Collection, Data Pipelines, Jupyter, Virtual Environment

      Intermediate · Guided Project · Less Than 2 Hours

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

    • ETL Processing on Google Cloud Using Dataflow and BigQuery: Google Cloud
    • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
    • Data Integration and ETL with Talend: Edureka
    • Data Analytics and Databases on AWS: Amazon Web Services
    • Snowflake Data Engineering: Snowflake
    • Extract, Transform, and Load Data: CertNexus
    • Modernizing Data Lakes and Data Warehouses with Google Cloud: Google Cloud
    • Data Engineering: Pipelines, ETL, Hadoop: Coursera Instructor Network
    • Data Management with Databricks: Big Data with Delta Lakes: Coursera Project Network
    • Building Batch Data Pipelines on Google Cloud: Google Cloud

    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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