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    • Apache Spark

    Apache Spark Courses Online

    Master Apache Spark for big data processing and analytics. Learn to use Spark for real-time data processing and machine learning.

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    Explore the Apache Spark Course Catalog

    • G

      Google Cloud

      Working with Artifact Registry

      Skills you'll gain: Apache Maven, Package and Software Management, Google Cloud Platform, Google App Engine, CI/CD, Containerization, Release Management

      Beginner · Project · Less Than 2 Hours

    • Status: New
      New
      J

      Johns Hopkins University

      Big Data and Hadoop Foundations and Setup

      Skills you'll gain: Big Data, Apache Hadoop, Data Processing, Analytics, Data Science, Distributed Computing, Linux, Data Storage, Software Installation, Scalability, System Configuration

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      I

      IBM

      Relational Database Administration Capstone Project

      Skills you'll gain: Database Administration, Database Architecture and Administration, Database Management, Apache Airflow, Operational Databases, PostgreSQL, MySQL, Data Warehousing, Data Pipelines, Extract, Transform, Load, Database Design, SQL, Data Architecture, Performance Tuning, Disaster Recovery, Data Security

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      J

      Johns Hopkins University

      Large-Scale Database Systems

      Skills you'll gain: Data Warehousing, Apache Hadoop, Distributed Computing, Scalability, Transaction Processing, Database Systems, Relational Databases, Database Management, Database Architecture and Administration, Databases, Cloud Computing, Query Languages, Big Data, Data Processing, Machine Learning, SQL, Data Access, Performance Tuning, Data Integrity, Authorization (Computing)

      Intermediate · Specialization · 1 - 3 Months

    • E

      Edureka

      Using Kafka on Confluent

      Skills you'll gain: Apache Kafka, Data Pipelines, Data Management, Data Integration, Data Architecture, Data Processing, SQL, Security Controls, System Monitoring, Real Time Data, Big Data, Scalability

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      Selenium WebDriver 4 with Java - Zero To Hero

      Skills you'll gain: Jenkins, Selenium (Software), GitHub, Git (Version Control System), CI/CD, Continuous Integration, Apache Maven, Performance Testing, Version Control, Test Automation, Browser Compatibility, Test Data, Object Oriented Programming (OOP), Java, Test Case, Unit Testing, Javascript and jQuery, Software Testing, Test Execution Engine, Regression Testing

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      P

      Packt

      Spring Framework Master Class: Java Spring - The Modern Way

      Skills you'll gain: Spring Framework, Build Tools, Spring Boot, JUnit, Eclipse (Software), Java, Gradle, Apache Maven, Web Applications, Hibernate (Java), Model View Controller, Object-Relational Mapping, Software Testing, Databases, Dependency Analysis

      Beginner · Course · 3 - 6 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Create an Affinity Diagram Using Creately

      Skills you'll gain: Process Flow Diagrams, Ideation, Brainstorming, Cooperation, Teamwork, Creativity, Creative Thinking, Organizational Skills, Productivity

      Beginner · Guided Project · Less Than 2 Hours

    • P

      Packt

      Learn Data Integration and Visualization with Elasticsearch

      Skills you'll gain: Data Presentation, Data Import/Export, Data Visualization Software, Dashboard, Data Integration, Time Series Analysis and Forecasting, Apache Kafka, Histogram, Amazon S3, MySQL

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Testing and Advanced REST with Spring Boot

      Skills you'll gain: JUnit, Apache Maven, Spring Framework, Build Tools, Restful API, Unit Testing, Spring Boot, Integration Testing, Gradle, Java, Software Testing, Application Programming Interface (API), Test Case, Software Development Tools, Secure Coding, JSON

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      Comprehensive Cloud Computing Foundations

      Skills you'll gain: Linux Administration, Cloud Computing, Cloud Infrastructure, Linux Servers, Cloud Platforms, Linux, Scalability, Infrastructure As A Service (IaaS), Linux Commands, Cloud Security, Server Administration, Servers, Web Servers, Nginx, Apache, Firewall, NoSQL

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free
      Free
      G

      Google Cloud

      Accelerate Migration from Control-M to Apache Airflow with DAGify

      Skills you'll gain: Apache Airflow, Data Migration, Virtual Environment, Cloud Development

      Intermediate · Project · Less Than 2 Hours

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    1…202122…23

    In summary, here are 10 of our most popular apache spark courses

    • Working with Artifact Registry: Google Cloud
    • Big Data and Hadoop Foundations and Setup: Johns Hopkins University
    • Relational Database Administration Capstone Project: IBM
    • Large-Scale Database Systems: Johns Hopkins University
    • Using Kafka on Confluent: Edureka
    • Selenium WebDriver 4 with Java - Zero To Hero: Packt
    • Spring Framework Master Class: Java Spring - The Modern Way: Packt
    • Create an Affinity Diagram Using Creately: Coursera Project Network
    • Learn Data Integration and Visualization with Elasticsearch: Packt
    • Testing and Advanced REST with Spring Boot: Packt

    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 Apache Spark

    Apache Spark is an open source analytics framework for large-scale data processing with capabilities for streaming, SQL, machine learning, and graph processing. Apache Spark is important to learn because its ease of use and extreme processing speeds enable efficient and scalable real-time data analysis.

    Apache Spark can process in-memory on dedicated clusters to achieve speeds 10-100 times faster than the disc-based batch processing Apache Hadoop with MapReduce can provide, making it a top choice for anyone processing big data. Spark is also easy to use, with the ability to write applications in its native Scala, or in Python, Java, R, or SQL. This versatility and accessibility helps startups harness the powerful data science they need for cutting edge innovation.

    Spark also provides the scalable machine learning needed by artificial intelligence (AI) engineers to create applications that can transform the way we interact with digital technology, from recommendation algorithms on services like Netflix and Spotify to automated medical screening.‎

    Many careers in data science benefit from skills in Apache Spark, as software development engineers, data scientists, data analysts, and machine learning engineers use Spark on a daily basis. These roles are in high demand and are thus highly compensated; according to Glassdoor, machine learning engineers earn an average salary of $114,121 per year.

    Machine learning engineers design and build self-learning software and monitor its iterations to fine tune how models perform when they are scaled up and put into service. These professionals need a background in both software engineering and data science, and are increasingly being hired in a wide variety of fields such as education, healthcare, and finance. As machine learning continues to expand into many more fields, the need for machine learning engineers will continue to grow.‎

    Yes! Coursera offers a wide range of popular online courses and Specializations on data science in general and Apache Spark specifically, including courses in related topics like scalable machine learning, distributed computing, and big data analysis. You’ll learn from top-ranked institutions and organizations like the University of California Davis, the University of California San Diego, École Polytechnique Fédérale de Lausanne, and IBM, so you don’t have to sacrifice the quality of your education for the flexibility of learning remotely.

    Coursera also offers the courses needed to work towards the IBM AI Engineering Professional Certificate. And, if you want to take your data science education to the next level, Coursera provides you with the opportunity to pursue a Master of Science in Data Science through the University of Colorado.‎

    Because Spark works in application programming interfaces like Scala, Java, and Python, it helps to have a good grasp of one or more of these programming languages. Other prerequisites may vary depending on the level of the course you're taking. While beginner-level courses allow you to become familiar with Apache Spark and develop skills as you go, intermediate or advanced courses may require additional skills or experience within data science or computer programming. As you progress with learning Apache Spark, you'll develop the skills needed to read and write data to a variety of sources, parse different types of data, work within the artificial intelligence and machine learning arena, and transform data to leverage insights from it.‎

    People with a passion for data science and a desire to gain increased access to big data are well suited to learning Apache Spark. This tool opens a variety of opportunities for users to explore big data and leverage it to solve key problems within organizations. Additionally, Spark offers a faster pace for machine learning workloads, with large scale data processing capability that's exponentially faster than other tools like Hadoop. Because Apache Spark is on the front lines of innovation within AI and big data, those with an innate sense of curiosity and a desire to innovate are among those best suited to learning Spark and working in relevant roles.‎

    If you want to work within big data, learning Apache Spark could be a good move for you. This unified analytics engine is particularly popular because of its speed, the libraries that come with it, robust APIs, and its support for multiple programming languages. Additionally, it could be a smart career move depending on your aspirations. Demand continues to surge for professionals who can leverage Spark's power. In February 2021, Indeed.com listed more than 1,800 open positions looking for full-time Apache Spark professionals across multiple industries. Additionally, according to Databricks, learning Apache Sparks could give you a boost in your earning potential.‎

    Online Apache Spark courses offer a convenient and flexible way to enhance your existing knowledge or learn new Apache Spark skills. With a wide range of Apache Spark classes, you can conveniently learn at your own pace to advance your Apache Spark career.‎

    When looking to enhance your workforce's skills in Apache Spark, 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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