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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

    • I

      Illinois Tech

      Big Data Technologies

      Skills you'll gain: NoSQL, Big Data, Apache Hadoop, Apache Spark, Data Infrastructure, Real Time Data, Apache Kafka, Data Management, Apache Cassandra, Apache Hive, Data Lakes, MongoDB, Databases, Data Architecture, Database Management Systems, Distributed Computing, Data Processing, Software Design Patterns, Scalability

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      ML Pipelines on Google Cloud - 한국어

      Skills you'll gain: CI/CD, Google Cloud Platform, MLOps (Machine Learning Operations), Apache Airflow, Data Pipelines, Continuous Deployment, Tensorflow, Metadata Management, Machine Learning Methods, PyTorch (Machine Learning Library), Containerization

      Advanced · Course · 1 - 3 Months

    • P

      Packt

      Kafka Streams API for Developers Using Java/Spring Boot 3.X

      Skills you'll gain: Apache Kafka, Spring Boot, JUnit, Java, Unit Testing, Data Pipelines, Real Time Data, Integration Testing, Restful API, JSON, Transaction Processing, Middleware, Data Processing, Scalability

      Intermediate · Course · 3 - 6 Months

    • P

      Packt

      Mastering Selenium WebDriver and Java Fundamentals

      Skills you'll gain: Selenium (Software), Browser Compatibility, Test Automation, Java, Javascript and jQuery, Software Testing, Eclipse (Software), Apache Maven, Development Environment, Object Oriented Programming (OOP), Automation, Software Installation, System Configuration

      Intermediate · Course · 3 - 6 Months

    • P

      Packt

      Advanced Java Programming and Web Development

      Skills you'll gain: Selenium (Software), Web Development Tools, Cascading Style Sheets (CSS), Extensible Markup Language (XML), Java Programming, Test Automation, File Management, Web Applications, Apache, Debugging, Programming Principles

      Intermediate · Course · 1 - 3 Months

    • W

      Whizlabs

      AWS: Application Integration and Networking

      Skills you'll gain: Apache Airflow, Amazon Web Services, Cloud Engineering, Cloud-Native Computing, Network Architecture, Virtual Private Networks (VPN), Network Routing, Data Pipelines, Network Security, Microservices, Event-Driven Programming, Scalability

      Intermediate · Course · 1 - 4 Weeks

    • L

      LearnQuest

      Real-Time Big Data Access using HBase: Boosting Performance

      Skills you'll gain: Operational Databases, NoSQL, Real Time Data, Query Languages, Scalability, Database Design, Application Deployment, Data Manipulation, Performance Tuning, Data Modeling, Distributed Computing, Data Storage Technologies, Data Processing, Disaster Recovery

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      Maven and SonarQube for DevOps Engineers - Beginners Guide

      Skills you'll gain: Apache Maven, Jenkins, Software Development Tools, Apache Tomcat, DevOps, CI/CD, Amazon Web Services, Java, Amazon Elastic Compute Cloud, Software Installation, Git (Version Control System)

      Beginner · Course · 1 - 3 Months

    • P

      Packt

      Selenium WebDriver Advanced - Complete Framework

      Skills you'll gain: Selenium (Software), Version Control, Git (Version Control System), GitHub, Jenkins, Continuous Integration, CI/CD, Test Automation, Test Data, Test Tools, Software Versioning, JUnit, Software Testing, Test Case, IntelliJ IDEA, Application Frameworks, Development Environment, Apache Maven, Verification And Validation, Debugging

      Advanced · Course · 3 - 6 Months

    • P

      Packt

      AJAX Authentication and Cross-Origin Requests

      Skills you'll gain: Ajax, Web Servers, Authentications, Server Side, Web Applications, Application Security, Application Programming Interface (API), Restful API, Javascript

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      ML Pipelines on Google Cloud - 日本語版

      Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), CI/CD, Tensorflow, Apache Airflow, Data Pipelines, Metadata Management, PyTorch (Machine Learning Library), Containerization, Machine Learning

      Advanced · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Development with NetBeans: Cross-Platform Password Generator

      Skills you'll gain: Integrated Development Environments, Application Deployment, Cross Platform Development, Application Development, Software Development Tools, Java, Apache Maven, Programming Principles, Object Oriented Programming (OOP)

      Intermediate · Guided Project · Less Than 2 Hours

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    1…20212223

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

    • Big Data Technologies: Illinois Tech
    • ML Pipelines on Google Cloud - 한국어: Google Cloud
    • Kafka Streams API for Developers Using Java/Spring Boot 3.X: Packt
    • Mastering Selenium WebDriver and Java Fundamentals: Packt
    • Advanced Java Programming and Web Development: Packt
    • AWS: Application Integration and Networking: Whizlabs
    • Real-Time Big Data Access using HBase: Boosting Performance: LearnQuest
    • Maven and SonarQube for DevOps Engineers - Beginners Guide: Packt
    • Selenium WebDriver Advanced - Complete Framework: Packt
    • AJAX Authentication and Cross-Origin Requests: 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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