Apache Spark

Apache Spark is a unified analytics engine for large-scale data processing, used for big data and machine learning tasks. Coursera's Apache Spark skill catalogue teaches you about this powerful tool for handling big data analytics. You'll learn the fundamentals of Spark's distributed computing model, its powerful data processing capabilities, and how to implement machine learning algorithms with Spark. You'll also delve into Spark SQL for structured data processing, Spark Streaming for real-time data processing, and MLlib for machine learning tasks. Master these aspects to enhance your data science skills and solve complex computational problems in various industries.
36credentials
1online degree
75courses

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Explore the Apache Spark Course Catalog

  • Status: Free Trial

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

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

  • Status: Free Trial

    University of California San Diego

    Skills you'll gain: Apache Spark, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Graph Theory, Data Pipelines, Database Design, Data Modeling, Regression Analysis, Data Mining, Data Management, Applied Machine Learning, Data Presentation, Scalability, Data Processing, Statistical Analysis, NoSQL, Database Management Systems, MongoDB

  • Status: Free Trial

    Skills you'll gain: Apache Kafka, Apache Spark, Apache Hadoop, Distributed Computing, Dataflow, Java Programming, Java, Middleware, Scala Programming, Data Structures, System Programming, Programming Principles, Servers, Application Frameworks, Debugging, Algorithms, Performance Tuning, Network Protocols, Computer Science

  • Status: Free Trial

    Skills you'll gain: Apache Airflow, Data Modeling, Data Pipelines, Data Storage, Data Architecture, Requirements Analysis, Data Processing, Data Warehousing, Query Languages, Apache Hadoop, Extract, Transform, Load, Data Lakes, Amazon Web Services, File Systems, Apache Spark, Database Systems, Feature Engineering, Data Integration, AWS Kinesis, Data Management

  • Status: Free Trial

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

  • Status: Free Trial

    Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Extract, Transform, Load, Data Processing, Data Transformation, Big Data, Apache Spark, Apache Hadoop, Cloud Storage

  • Status: Free Trial

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

  • Status: Free Trial

    Skills you'll gain: Data Pipelines, Extract, Transform, Load, Apache Airflow, Google Cloud Platform, Data Integration, Data Migration, Data Processing, Apache Hadoop, Serverless Computing, Apache Spark, Big Data, Data Transformation

  • Status: Free Trial

    University of Illinois Urbana-Champaign

    Skills you'll gain: Distributed Computing, Cloud Infrastructure, Cloud Services, Big Data, Apache Spark, Cloud Computing, Cloud Storage, Cloud Platforms, Network Architecture, Data Storage Technologies, Computer Networking, File Systems, Apache Hadoop, Network Infrastructure, Cloud Applications, Infrastructure As A Service (IaaS), Middleware, Containerization, Software-Defined Networking, NoSQL

  • Status: Free

    Amazon Web Services

    Skills you'll gain: Apache Hadoop, Apache Spark, Big Data, Amazon Web Services, Business Intelligence, Amazon S3, Command-Line Interface, Data-Driven Decision-Making, Data Processing, Analytics

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Apache Hadoop, Apache Hive, Big Data, Apache Spark, NoSQL, Data Management, Data Processing, SQL, Query Languages, Data Manipulation, Scripting Languages, Data Transformation

Related roles

Gain the knowledge and skills you need to advance.

  • This role has a £62,784 median salary ¹.

    description:

    A Data Engineer builds data pipelines for large datasets, optimizing systems and ensuring reliable data flow using tools like Hadoop and Spark.

    This role has a £62,784 median salary ¹.

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