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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

    • P

      Packt

      AWS Data Processing and Analysis

      Skills you'll gain: Amazon Redshift, Data Warehousing, Real Time Data, AWS Kinesis, Apache Hadoop, Apache Spark, Data Visualization, Apache Hive, Data Pipelines, Data Processing, Amazon Web Services, Extract, Transform, Load, Performance Tuning, Amazon S3, Serverless Computing, Scalability

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Building Recommender Systems with Machine Learning and AI

      Skills you'll gain: Apache Spark, Deep Learning, Python Programming, Scalability, Applied Machine Learning, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Dimensionality Reduction, Feature Engineering, Performance Tuning

      Intermediate · Course · 3 - 6 Months

    • G

      Google Cloud

      Serverless Data Processing with Dataflow: Develop Pipelines en Español

      Skills you'll gain: Dataflow, Data Pipelines, Apache Kafka, Real Time Data, Extract, Transform, Load, Data Processing, SQL, Google Cloud Platform, Jupyter

      Advanced · Course · 1 - 3 Months

    • P

      Packt

      Azure SQL Data Warehouse Synapse Analytics Service

      Skills you'll gain: Azure Synapse Analytics, Data Migration, Microsoft Azure, Data Warehousing, Database Design, Microsoft SQL Servers, SQL Server Integration Services (SSIS), Cloud Computing, Performance Tuning, Apache Spark, Data Security, Data Integration, Scalability, System Monitoring

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      J

      Johns Hopkins University

      YARN MapReduce Architecture and Advanced Programming

      Skills you'll gain: Apache Hadoop, Data Processing, Distributed Computing, Performance Tuning, Software Architecture, Scalability, Java

      Intermediate · Course · 1 - 3 Months

    • L

      LearnKartS

      Monitoring, Streams, and Connectors

      Skills you'll gain: Apache Kafka, System Monitoring, Data Pipelines, Continuous Monitoring, Performance Tuning, Middleware, Real Time Data, Software Architecture, Restful API, Data Integration, Scalability, JSON

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Selenium WebDriver with Java and Frameworks for all levels

      Skills you'll gain: Git (Version Control System), Selenium (Software), Cucumber (Software), Version Control, GitHub, Apache Maven, Object Oriented Programming (OOP), Behavior-Driven Development, Jenkins, Java, Issue Tracking, Continuous Integration, CI/CD, Test Execution Engine, Test Case, Application Frameworks, Browser Compatibility, Software Testing, Test Automation, Scripting

      4.3
      Rating, 4.3 out of 5 stars
      ·
      7 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      P

      Packt

      Complete Linux Training Course to Get Your Dream IT Job

      Skills you'll gain: Shell Script, Linux, Linux Administration, Linux Commands, File Systems, Linux Servers, Unix, Unix Shell, User Accounts, Command-Line Interface, File Management, Package and Software Management, Unix Commands, Virtualization and Virtual Machines, Authorization (Computing), Patch Management, Scripting Languages, Security Controls, Data Storage, Systems Administration

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      S

      SkillUp EdTech

      Spring Framework for Java Development

      Skills you'll gain: Spring Framework, Spring Boot, Restful API, Application Security, Java, Application Frameworks, Model View Controller, Development Environment, Web Applications, Application Programming Interface (API), Apache Maven, Authorization (Computing), Authentications

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Accelerating Analytical Queries using the AlloyDB Columnar Engine

      Skills you'll gain: Query Languages, Performance Tuning, Test Data, Database Systems, Database Management, Database Architecture and Administration, Test Case

      Beginner · Project · Less Than 2 Hours

    • U

      Universidad de los Andes

      Plataformas para procesar datos no tradicionales​

      Skills you'll gain: Spatial Analysis, NoSQL, Spatial Data Analysis, Geospatial Mapping, Geographic Information Systems, Public Cloud, Big Data, MongoDB, Apache Hadoop, Apache Spark, Distributed Computing, Data Architecture, Cloud Services, Data Processing, Cloud Computing, Scalability, Databases, Environmental Monitoring, File Systems, Image Analysis

      4.1
      Rating, 4.1 out of 5 stars
      ·
      9 reviews

      Beginner · Specialization · 3 - 6 Months

    • W

      Whizlabs

      Getting Started with Apache Cassandra

      Skills you'll gain: Apache Cassandra, NoSQL, Database Systems, Databases, Database Architecture and Administration, Database Design, Query Languages, Database Management, Data Storage, System Monitoring, Data Maintenance, Distributed Computing, Application Security, Data Modeling, Data Security, Scalability

      Beginner · Course · 1 - 4 Weeks

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

    • AWS Data Processing and Analysis: Packt
    • Building Recommender Systems with Machine Learning and AI: Packt
    • Serverless Data Processing with Dataflow: Develop Pipelines en Español: Google Cloud
    • Azure SQL Data Warehouse Synapse Analytics Service: Packt
    • YARN MapReduce Architecture and Advanced Programming: Johns Hopkins University
    • Monitoring, Streams, and Connectors: LearnKartS
    • Selenium WebDriver with Java and Frameworks for all levels: Packt
    • Complete Linux Training Course to Get Your Dream IT Job: Packt
    • Spring Framework for Java Development: SkillUp EdTech
    • Accelerating Analytical Queries using the AlloyDB Columnar Engine: Google Cloud

    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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