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    • Data Integration

    Data Integration Courses Online

    Learn data integration techniques for combining data from multiple sources. Understand how to create unified datasets for analysis and reporting.

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    Explore the Data Integration Course Catalog

    • Status: [object Object]
      AI skills
      I

      IBM

      IBM Data Engineering

      Skills you'll gain: Data Engineering, NoSQL, Data Warehousing, Relational Databases, Data Pipelines, SQL, Bash (Scripting Language), Shell Script, Linux Commands, Data Mart, IBM Cognos Analytics, Apache Hadoop, Big Data, Database Systems, Star Schema, Database Administration, Python Programming, Apache Spark, Extract, Transform, Load, Interviewing Skills

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      56K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Colorado Boulder

      Data Collection and Integration

      4.5
      Rating, 4.5 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado System

      Data Warehouse Concepts, Design, and Data Integration

      Skills you'll gain: Data Warehousing, Data Integration, Extract, Transform, Load, Data Architecture, Star Schema, Data Modeling, Databases, Data Engineering, Data Management, Business Intelligence, Information Management, Database Architecture and Administration, Database Management Systems, Database Design, Data Processing, Database Development, Database Theory, Database Systems, Database Management, Business Intelligence Software

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1K reviews

      Mixed · Course · 1 - 3 Months

    • I

      IBM

      Introduction to Data Engineering

      Skills you'll gain: Data Engineering, Data Infrastructure, Data Store, Data Architecture, Data Pipelines, Extract, Transform, Load, Databases, Data Lakes, Data Warehousing, Data Integration, IBM DB2, Data Storage Technologies, Data Mapping, Data Processing, Data Mart, Data Management, Big Data, Information Management, Database Management Systems, Operational Databases

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3K reviews

      Beginner · Course · 1 - 4 Weeks

    • T

      Talend

      Talend Data Integration Certification Preparation training

      Skills you'll gain: Data Integration, Extract, Transform, Load, Data Mapping, Data Engineering, Metadata Management, Data Pipelines, Data Transformation, Data Architecture, Databases, Big Data, Data Processing, Database Architecture and Administration, Data Management, Information Management, Data Governance, Information Technology Architecture, Configuration Management, Software Development Tools, Data Storage, Debugging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      66 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of California, Irvine

      Salesforce Integration

      Skills you'll gain: Cloud Computing, Data Management, Salesforce

      4.1
      Rating, 4.1 out of 5 stars
      ·
      21 reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      S

      SkillUp EdTech

      Data Integration, Data Storage, & Data Migration

      Skills you'll gain: Data Management

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      U

      University of California San Diego

      Big Data Integration and Processing

      Skills you'll gain: Big Data, Data Integration, Data Processing, Extract, Transform, Load, Data Engineering, Apache Spark, Apache Hadoop, Data Infrastructure, Data Pipelines, Analytics, Databases, Data Store, Information Management, Data Architecture, Data Analysis, Business Analytics, MongoDB, Operational Databases, NoSQL, Pandas (Python Package)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.4K reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      I

      IBM

      ETL and Data Pipelines with Shell, Airflow and Kafka

      Skills you'll gain: Data Pipelines, Extract, Transform, Load, Apache Kafka, Apache Airflow, Data Engineering, Real Time Data, Data Processing, Data Integration, Data Wrangling, Data Architecture, Data Mapping, Data Transformation, Big Data, Databases, Data Management, Information Management, Information Systems, Data Storage, Scripting, Shell Script

      4.5
      Rating, 4.5 out of 5 stars
      ·
      381 reviews

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      D

      DeepLearning.AI

      Data Modeling, Transformation, and Serving

      Skills you'll gain: Data Engineering, Data Modeling, Data Pipelines, Extract, Transform, Load, Data Warehousing, Data Architecture, PySpark, Data Integration, Data Processing, Big Data, Star Schema, Analytics, Apache Spark, Feature Engineering, Data Management, Data Science, Information Management, Database Management Systems, Database Systems, Database Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      51 reviews

      Intermediate · Course · 1 - 4 Weeks

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      G

      Google

      The Path to Insights: Data Models and Pipelines

      Skills you'll gain: Extract, Transform, Load, Data Pipelines, Data Modeling, Data Engineering, Data Warehousing, Databases, Data Integration, Data Architecture, Business Intelligence, Data Quality, Data Management, Database Management, Database Systems, Database Management Systems, Database Architecture and Administration, Database Design, Information Management, Relational Databases, Data Processing, Big Data

      4.7
      Rating, 4.7 out of 5 stars
      ·
      581 reviews

      Advanced · Course · 1 - 4 Weeks

    • Placeholder
      P

      Packt

      Learn Data Integration and Visualization with Elasticsearch

      Skills you'll gain: Data Visualization

      Intermediate · Course · 1 - 4 Weeks

    Data Integration learners also search

    Data Engineering
    Big Data
    Big Data Analytics
    Beginner Big Data
    Big Data Projects
    Python Data Science
    Advanced Big Data
    Data Architecture
    1234…477

    In summary, here are 10 of our most popular data integration courses

    • IBM Data Engineering: IBM
    • Data Collection and Integration: University of Colorado Boulder
    • Data Warehouse Concepts, Design, and Data Integration: University of Colorado System
    • Introduction to Data Engineering: IBM
    • Talend Data Integration Certification Preparation training: Talend
    • Salesforce Integration: University of California, Irvine
    • Data Integration, Data Storage, & Data Migration: SkillUp EdTech
    • Big Data Integration and Processing: University of California San Diego
    • ETL and Data Pipelines with Shell, Airflow and Kafka: IBM
    • Data Modeling, Transformation, and Serving: DeepLearning.AI

    Frequently Asked Questions about Data Integration

    Data integration is the process used in computing environments to consolidate data from different sources. This consolidated data is usually stored at a data warehouse, which can handle large volumes of big data. Data integration is often the precursor to other processes like data analysis, reporting, and forecasting.

    In business, data integration creates valuable insights for companies, by combining business processes and technical systems from a wide variety of sources. It gives businesses a holistic view of their data. In turn, this helps companies to run other applications that provide further data insights around a company's data assets.‎

    Learning about data integration can teach you skills and concepts for creating data integration workflows and for designing data warehouses. You can accumulate new insights about open source products while learning how to use data science information to organize pivot tables and explore data integration workflows. For anyone interested in becoming a data system administrator or data warehouse developer, these are fundamental skills to have. Additionally, learning about data integration will give you background theory and concepts for understanding software architecture, maturity models, and management practices.‎

    Data integration careers are worth pursuing, as there are many jobs available like scrum masters, data integration engineers, data integration analysts, data integration developers, and similar roles that can offer you a strong career path. These jobs are available in government work, retail, finance, healthcare, and other fields. They offer high pay, interesting work, and flexibility to move into similar data warehousing roles.‎

    If you are currently an information sciences or business technology professional and looking to grow your knowledge of coding and data integration, then online courses will be able to satisfy that requirement. Online courses will give you the fundamental knowledge and specific skills in data integration and data warehousing to make a difference in your career. Once you move through a variety of online courses about data integration, you will likely be able to move successfully in data software and data integration concepts on any kind of data warehouse development project.‎

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

    When looking to enhance your workforce's skills in Data Integration, 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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