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    Results for "apache spark"

    • Packt

      Mastering Java and Advanced Tools for Selenium Automation

      Skills you'll gain: Cucumber (Software), Selenium (Software), Apache Maven, Java, Object Oriented Programming (OOP), Issue Tracking, Test Automation, Behavior-Driven Development, Test Execution Engine, Test Case, Integration Testing, Data Structures

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New

      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: New
      New

      Packt

      Advanced Spring Concepts and Functional Programming

      Skills you'll gain: Spring Framework, Hibernate (Java), Spring Boot, Java, Object-Relational Mapping, Database Management, Application Frameworks, JUnit, Data Access, Apache Maven, SQL, Object Oriented Programming (OOP), Model View Controller, Functional Design

      Intermediate · Course · 1 - 4 Weeks

    • Packt

      Comprehensive Automation and Continuous Integration

      Skills you'll gain: Jenkins, Selenium (Software), GitHub, Git (Version Control System), CI/CD, Continuous Integration, Apache Maven, Performance Testing, Version Control, Test Automation, Java, Software Testing, Object Oriented Programming (OOP), Browser Compatibility, MySQL Workbench

      Intermediate · Course · 3 - 6 Months

    • Status: Free
      Free

      Google Cloud

      Securing Container Builds

      Skills you'll gain: Apache Maven, Kubernetes, Google Cloud Platform, Docker (Software), CI/CD, Package and Software Management, Virtual Environment

      Beginner · Project · Less Than 2 Hours

    • 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

    • 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

    • 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

    • 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

    • 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

    • Google Cloud

      ML Pipelines on Google Cloud en Español

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

      Advanced · Course · 1 - 3 Months

    • Status: New
      New

      Packt

      Hands-on Hacking

      Skills you'll gain: Penetration Testing, Vulnerability Scanning, Vulnerability Assessments, Active Directory, Web Applications, Windows Servers, Microsoft Windows, Cybersecurity, Bash (Scripting Language), Command-Line Interface, Apache Tomcat, Unix Commands, Scripting, Scripting Languages

      Intermediate · Course · 1 - 3 Months

    Searches related to apache spark

    apache spark with scala – hands-on with big data!
    machine learning with apache spark
    scalable machine learning on big data using apache spark
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    In summary, here are 10 of our most popular apache spark courses

    • Mastering Java and Advanced Tools for Selenium Automation: Packt
    • Spring Framework Master Class: Java Spring - The Modern Way: Packt
    • Advanced Spring Concepts and Functional Programming: Packt
    • Comprehensive Automation and Continuous Integration: Packt
    • Securing Container Builds: Google Cloud
    • 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
    • Maven and SonarQube for DevOps Engineers - Beginners Guide: Packt
    • Selenium WebDriver Advanced - Complete Framework: 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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