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Results for "spark java"


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    IBM

    Introduction to Big Data with Spark and Hadoop

    Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Apache Hive, Big Data, IBM Cloud, Kubernetes, Docker (Software), Scalability, Data Processing, Distributed Computing, Performance Tuning, Data Transformation, Debugging

    4.4
    Rating, 4.4 out of 5 stars
    ·
    465 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    IBM

    NoSQL, Big Data, and Spark Foundations

    Skills you'll gain: NoSQL, Apache Spark, Apache Hadoop, MongoDB, PySpark, Extract, Transform, Load, Apache Hive, Databases, Apache Cassandra, Big Data, Machine Learning, Applied Machine Learning, Generative AI, Machine Learning Algorithms, IBM Cloud, Kubernetes, Supervised Learning, Distributed Computing, Docker (Software), Database Management

    4.5
    Rating, 4.5 out of 5 stars
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    810 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Spark and Python for Big Data with PySpark

    Skills you'll gain: PySpark, Apache Spark, MySQL, Data Pipelines, Scala Programming, Extract, Transform, Load, Customer Analysis, Apache Hadoop, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Data Processing, Advanced Analytics, Big Data, Apache Maven, Statistical Machine Learning, Unsupervised Learning, SQL, Apache, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
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    37 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    Status: AI skills
    AI skills
    I

    IBM

    IBM Java Developer

    Skills you'll gain: Prompt Engineering, Software Development Life Cycle, Cloud-Native Computing, Software Architecture, Hibernate (Java), Database Design, Responsive Web Design, Docker (Software), Containerization, Git (Version Control System), GitHub, Object Oriented Programming (OOP), Microservices, CI/CD, Restful API, Java Programming, Engineering Software, Version Control, Database Management, Software Design

    4.6
    Rating, 4.6 out of 5 stars
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    6.9K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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    Packt

    Spring, JPA, Testing, and Legacy Microservices

    Skills you'll gain: JUnit, Spring Framework, Spring Boot, Java, Apache Maven, Hibernate (Java), Unit Testing, Gradle, Microservices, Object-Relational Mapping, Software Testing, Testability

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    I

    IBM

    Java Programming Fundamentals

    Skills you'll gain: Object Oriented Programming (OOP), Object Oriented Design, Java, Java Programming, File Management, Application Development, Maintainability, Software Design, Development Environment, Program Development, Data Storage Technologies, Application Design, Programming Principles, Computer Programming, Data Structures, Data Management, Integrated Development Environments, Debugging

    4.6
    Rating, 4.6 out of 5 stars
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    143 reviews

    Beginner · Specialization · 3 - 6 Months

What brings you to Coursera today?

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    EDUCBA

    Spring Boot Web Development with Java

    Skills you'll gain: JUnit, Apache Maven, Spring Framework, Spring Boot, Model View Controller, Unit Testing, Microservices, Application Development, Redis, Restful API, YAML, Java, Java Programming, MongoDB, Application Deployment, Application Design, NoSQL, Ajax, Hibernate (Java), Software Testing

    4.7
    Rating, 4.7 out of 5 stars
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    50 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Core Java

    Skills you'll gain: Java Programming, Spring Framework, Java, Eclipse (Software), Object Oriented Programming (OOP), Object Oriented Design, Integrated Development Environments, Development Environment, Java Platform Enterprise Edition (J2EE), Software Design, Software Installation, Computer Programming, Programming Principles, Program Development, Virtual Machines, Web Development, Debugging, Package and Software Management, Data Structures, File Management

    4.6
    Rating, 4.6 out of 5 stars
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    2.8K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning with Apache Spark

    Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Feature Engineering, Data Processing, Extract, Transform, Load, Predictive Modeling, Data Transformation, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
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    113 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    P

    Pearson

    Hadoop and Spark Fundamentals

    Skills you'll gain: PySpark, Apache Hadoop, Apache Spark, Big Data, Apache Hive, Data Lakes, Analytics, Data Pipelines, Data Processing, Data Import/Export, Data Integration, Linux Commands, Data Mapping, Linux, File Systems, Text Mining, Data Management, Distributed Computing, Java, C++ (Programming Language)

    Intermediate · Specialization · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    É

    École Polytechnique Fédérale de Lausanne

    Big Data Analysis with Scala and Spark

    Skills you'll gain: Apache Spark, Apache Hadoop, Scala Programming, Distributed Computing, Big Data, Data Manipulation, Data Processing, Performance Tuning, Data Transformation, SQL, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.6K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    B

    Board Infinity

    Java FullStack Developer

    Skills you'll gain: Angular, HTML and CSS, Data Structures, Spring Boot, Eclipse (Software), Restful API, Java Programming, JavaScript Frameworks, Object Oriented Programming (OOP), Model View Controller, Hypertext Markup Language (HTML), Java, Front-End Web Development, Spring Framework, Object Oriented Design, Web Services, Integrated Development Environments, Software Design Patterns, Cascading Style Sheets (CSS), Javascript

    4.4
    Rating, 4.4 out of 5 stars
    ·
    806 reviews

    Intermediate · Specialization · 1 - 3 Months

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

  • Introduction to Big Data with Spark and Hadoop: IBM
  • NoSQL, Big Data, and Spark Foundations: IBM
  • Spark and Python for Big Data with PySpark: EDUCBA
  • IBM Java Developer: IBM
  • Spring, JPA, Testing, and Legacy Microservices: Packt
  • Java Programming Fundamentals: IBM
  • Spring Boot Web Development with Java: EDUCBA
  • Core Java: LearnQuest
  • Machine Learning with Apache Spark: IBM
  • Hadoop and Spark Fundamentals: Pearson

Frequently Asked Questions about Spark Java

Spark Java is a lightweight web framework for building Java-based applications. It aims to be simple and expressive, providing developers with a flexible and efficient way to create web applications. Spark Java's ease of use and minimalist design make it a popular choice for developers who want to quickly build RESTful APIs, web services, and single-page applications. It also offers support for various templating engines, making it easy to develop dynamic web content.‎

To become proficient in Spark Java, you will need to learn the following skills:

  1. Core Java: As Spark Java is built on the Java programming language, a good understanding of core Java concepts is crucial. This includes knowledge of object-oriented programming, data types, control structures, exception handling, and Java Collections framework.

  2. Web Development: Familiarity with web development technologies like HTML, CSS, and JavaScript is essential. You should also have a solid understanding of HTTP protocols, request/response cycle, and RESTful APIs.

  3. Spark Framework: Get acquainted with the Spark Java framework, its architecture, and various components. Learn how to handle HTTP requests, route mapping, and implementing CRUD operations in Spark.

  4. Database Management: You should have a basic understanding of working with databases and SQL. Learn how to connect Spark Java with databases using JDBC, and perform operations like querying, inserting, updating, and deleting data.

  5. Testing: Gain knowledge of unit testing frameworks like JUnit and learn how to write test cases for your Spark Java applications. Test-driven development practices can help ensure the reliability and stability of your code.

  6. Security: Understand and implement security measures in your Spark Java applications, such as authentication and authorization. Learn about common security vulnerabilities, best practices, and frameworks like OAuth or JWT for securing your APIs.

  7. Additional Tools and Libraries: Familiarize yourself with additional tools and libraries commonly used in Spark Java development, such as Maven for dependency management, Log4j for logging, and Thymeleaf for server-side templating.

It's important to note that learning Spark Java will require both theoretical knowledge and hands-on practice. Utilize online tutorials, documentation, and practice projects to gain proficiency in these skills.‎

With Spark Java skills, you can pursue various job roles such as:

  1. Java Developer: You can work as a Java Developer, utilizing Spark Java to develop web applications and APIs. This role often involves writing code, debugging, and maintaining software systems.

  2. Back-End Developer: As a back-end developer, you can leverage your Spark Java skills to design and build the server-side components of web applications. You will be responsible for managing data, integrating different systems, and supporting front-end developers.

  3. Software Engineer: With expertise in Spark Java, you can work as a software engineer, participating in the full software development life cycle. You will develop scalable and efficient applications using Spark Java and collaborate with cross-functional teams to deliver high-quality software solutions.

  4. Big Data Engineer: Spark Java is widely used in big data processing frameworks like Apache Spark. With Spark Java skills, you can work as a Big Data Engineer, processing and analyzing large datasets to gain valuable insights. This role involves handling distributed computing and deploying Spark applications.

  5. Data Scientist/Analyst: Spark Java can also be used in data science and analytical workflows. By mastering Spark Java, you can work as a Data Scientist or Data Analyst, implementing machine learning algorithms, performing data analysis, and building predictive models.

  6. Solutions Architect: Spark Java skills can be advantageous in the role of a Solutions Architect. You will be responsible for designing and implementing technical solutions using Spark Java, considering requirements, scalability, security, and performance aspects.

  7. Technical Consultant: As a technical consultant specializing in Spark Java, you can help organizations by providing expert advice, troubleshooting, and guidance during software development projects. Your knowledge of Spark Java will be valuable in resolving technical challenges and optimizing performance.

Remember, the job opportunities may vary across industries and companies, but having Spark Java skills presents you with numerous avenues to explore and excel in the tech industry.‎

People who are interested in learning and working with Java programming language, particularly those who have a background in software development or computer science, would be best suited for studying Spark Java. Additionally, individuals who are looking to develop web applications or work with big data processing using Java would also benefit from studying Spark Java.‎

There are several topics that you can study related to Spark Java. Some of them include:

  1. Java programming: Since Spark Java is built on top of Java, having a solid understanding of Java programming will greatly help you in learning and working with Spark Java.

  2. Web development: Spark Java is a web framework, so having knowledge in areas like HTML, CSS, and JavaScript will be beneficial for building web applications with Spark Java.

  3. RESTful API development: Spark Java makes it easy to build RESTful APIs, so learning about RESTful architecture, HTTP methods, and API design principles will be useful when using Spark Java for building APIs.

  4. Database management: Understanding how to interact with databases is essential when using Spark Java. Topics like SQL, relational databases, and data modeling will be valuable for working with databases in Spark Java applications.

  5. Testing and debugging: Learning about testing frameworks, such as JUnit, and debugging techniques will help you ensure the quality and reliability of your Spark Java applications.

  6. Security: It's important to have knowledge about web application security, such as authentication, authorization, and secure coding practices, when building applications with Spark Java.

  7. Distributed computing: Spark Java is often used in distributed computing scenarios, so understanding concepts like parallel processing, distributed file systems, and cluster management will be beneficial for working with Spark Java in large-scale systems.

Remember, the above topics are just a starting point, and as you dive deeper into Spark Java, you may encounter additional areas of study that are specific to your application requirements or use cases.‎

Online Spark Java courses offer a convenient and flexible way to enhance your knowledge or learn new Spark Java is a lightweight web framework for building Java-based applications. It aims to be simple and expressive, providing developers with a flexible and efficient way to create web applications. Spark Java's ease of use and minimalist design make it a popular choice for developers who want to quickly build RESTful APIs, web services, and single-page applications. It also offers support for various templating engines, making it easy to develop dynamic web content. skills. Choose from a wide range of Spark Java courses offered by top universities and industry leaders tailored to various skill levels.‎

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