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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

    • W

      Whizlabs

      AWS: Data Analytics

      Skills you'll gain: AWS SageMaker, AWS Kinesis, Data Integration, Data Lakes, Business Intelligence, Apache Hive, Apache Spark, Amazon Web Services, Extract, Transform, Load, Big Data, Real Time Data, Applied Machine Learning, Data Processing, Amazon S3, Serverless Computing, Data Transformation

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Building Batch Data Pipelines on Google Cloud - 한국어

      Skills you'll gain: Dataflow, Data Pipelines, Data Transformation, Extract, Transform, Load, Data Processing, Google Cloud Platform, Data Integration, Serverless Computing, Big Data, Apache Spark, Cloud Storage, Performance Tuning

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Automation and Project Implementation in Azure Databricks

      Skills you'll gain: CI/CD, Databricks, Microsoft Azure, Continuous Integration, Data Architecture, Continuous Deployment, Integration Testing, Automation, Data Security, Command-Line Interface, Data Processing, Data Pipelines, Software Design, Cloud API, GitHub, Cloud Storage

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      JUnit and Mockito Unit Testing for Java Developers

      Skills you'll gain: JUnit, Unit Testing, Apache Maven, IntelliJ IDEA, Test Case, Software Testing, Integration Testing, Test Automation, Java, Code Coverage

      Intermediate · Course · 1 - 3 Months

    • U

      Universidad de los Andes

      Arquitecturas de Big Data

      Skills you'll gain: Public Cloud, Big Data, Apache Hadoop, Apache Spark, Data Architecture, Cloud Services, Data Processing, Distributed Computing, Cloud Computing, Scalability, NoSQL, File Systems, Data Storage

      Beginner · Course · 1 - 3 Months

    • P

      Packt

      AWS Certified Data Analytics Specialty (2023) Hands-on

      Skills you'll gain: Amazon DynamoDB, Amazon S3, AWS Kinesis, Amazon Redshift, AWS SageMaker, Data Warehousing, Real Time Data, Apache Hadoop, Amazon CloudWatch, Apache Spark, Cloud Storage, Data Visualization, Data Pipelines, Data Management, Dashboard, Apache Hive, Data Visualization Software, AWS Identity and Access Management (IAM), Data Processing, Data Storage

      Beginner · Specialization · 1 - 3 Months

    • P

      Packt

      Selenium Integration with CI/CD & Advanced Testing

      Skills you'll gain: Git (Version Control System), Selenium (Software), Version Control, GitHub, Jenkins, Continuous Integration, CI/CD, Test Automation, Browser Compatibility, Software Testing, Test Data, Java, SQL, MySQL

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      VPC Flow Logs - Analyzing Network Traffic

      Skills you'll gain: Apache, Network Monitoring, Data Import/Export, Web Servers, Servers, Network Analysis, Google Cloud Platform

      Intermediate · Project · Less Than 2 Hours

    • Status: Free
      Free
      U

      University of California San Diego

      빅 데이터 모델링 및 관리 시스템

      Skills you'll gain: Data Modeling, Data Infrastructure, Real Time Data, Data Management, Database Systems, Data Warehousing, Big Data, Data Processing, Database Management Systems, Operational Databases, Unstructured Data, Data Storage Technologies, Scalability

      Mixed · Course · 1 - 3 Months

    • P

      Packt

      Building Modern Distributed Systems with Java

      Skills you'll gain: Distributed Computing, Java, Systems Architecture, Software Architecture, Middleware, Service Management, Database Management Systems, Apache Kafka, NoSQL, Event-Driven Programming, Microservices, Scalability, Load Balancing, Restful API

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Orchestrating a TFX Pipeline with Airflow

      Skills you'll gain: Apache Airflow, Tensorflow, MLOps (Machine Learning Operations), Google Cloud Platform, Data Pipelines, Machine Learning Methods, Applied Machine Learning

      1.3
      Rating, 1.3 out of 5 stars
      ·
      6 reviews

      Beginner · Project · Less Than 2 Hours

    • P

      Packt

      Build Automation and Continuous Integration

      Skills you'll gain: Jenkins, Artifactory, CI/CD, Apache Maven, Continuous Integration, Continuous Deployment, Build Tools, Application Deployment, Devops Tools, Git (Version Control System), GitHub, Java

      Intermediate · Course · 1 - 4 Weeks

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

    • AWS: Data Analytics: Whizlabs
    • Building Batch Data Pipelines on Google Cloud - 한국어: Google Cloud
    • Automation and Project Implementation in Azure Databricks: Packt
    • JUnit and Mockito Unit Testing for Java Developers: Packt
    • Arquitecturas de Big Data : Universidad de los Andes
    • AWS Certified Data Analytics Specialty (2023) Hands-on: Packt
    • Selenium Integration with CI/CD & Advanced Testing: Packt
    • VPC Flow Logs - Analyzing Network Traffic: Google Cloud
    • 빅 데이터 모델링 및 관리 시스템: University of California San Diego
    • Building Modern Distributed Systems with Java: 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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