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Results for "spark+java"


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    EDUCBA

    Apache Spark: Apply & Evaluate Big Data Workflows

    Skills you'll gain: Apache Spark, PySpark, Data Persistence, Big Data, Data Processing, Distributed Computing, Scala Programming, JSON, Data Transformation, Performance Tuning

    Mixed · Course · 1 - 4 Weeks

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    Coursera

    Master Java Build Tools for ML Projects

    Skills you'll gain: Build Tools, CI/CD, Software Development Tools, Java, Gradle, Apache Maven, MLOps (Machine Learning Operations), Package and Software Management, Dependency Analysis

    Advanced · Course · 1 - 4 Weeks

  • Status: New
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    EDUCBA

    Apply Modern Java Features for Clean and Efficient Code

    Skills you'll gain: Integrated Development Environments, Software Design Patterns

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    Master and Apply Maven for Java Build Automation

    Skills you'll gain: Apache Maven, Build Tools, Eclipse (Software), CI/CD, Java, Software Configuration Management, Continuous Integration, Integrated Development Environments, Dependency Analysis, Extensible Markup Language (XML)

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    École Polytechnique Fédérale de Lausanne

    Big Data Analysis with Scala and Spark (Scala 2 version)

    Skills you'll gain: Apache Spark, Scala Programming, Big Data, Data Manipulation, Distributed Computing, Data Processing, Performance Tuning, SQL, Programming Principles, Data Storage Technologies

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Building Smarter Data Pipelines: SQL, Spark, Kafka & GenAI

    Skills you'll gain: Apache Kafka, Data Warehousing, Extract, Transform, Load, Microsoft SQL Servers, Snowflake Schema, Star Schema, Performance Tuning, Data Pipelines, Cloud Computing Architecture, Business Intelligence, Real Time Data, Apache Hadoop, Data Modeling, Data Quality, Responsible AI, Apache Spark, SQL, Generative AI, Data Governance, Quality Management

    4.3
    Rating, 4.3 out of 5 stars
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    91 reviews

    Intermediate · Specialization · 1 - 3 Months

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    Coursera

    Test & Debug Java ML Pipelines

    Skills you'll gain: JUnit, MLOps (Machine Learning Operations), CI/CD, Continuous Integration, Jenkins, Test Automation, Unit Testing, DevOps, Test Case, Debugging, Code Coverage, Model Evaluation, Data Pipelines, Test Data

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Duke University

    Spark, Hadoop, and Snowflake for Data Engineering

    Skills you'll gain: PySpark, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, Database Architecture and Administration, DevOps, Distributed Computing, Data Transformation, SQL, Python Programming

    3.9
    Rating, 3.9 out of 5 stars
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    63 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Evaluate & Swap Models in Java ML

    Skills you'll gain: Model Evaluation, Data Preprocessing, MLOps (Machine Learning Operations), Classification Algorithms, Applied Machine Learning, Maintainability, Machine Learning Algorithms, Java, Software Architecture, Software Design Patterns, Logistic Regression, Business Metrics, Benchmarking, Decision Tree Learning, Matrix Management, Business

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Microsoft

    Perform data science with Azure Databricks

    Skills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Data Processing, Deep Learning, Data Transformation, Model Deployment, Machine Learning Software, Model Evaluation, Machine Learning, Distributed Computing, Exploratory Data Analysis, Regression Analysis

    3.1
    Rating, 3.1 out of 5 stars
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    79 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Coursera

    Build Robust Java ML Models with Entropy

    Skills you'll gain: Model Evaluation, Model Deployment, Decision Tree Learning, Data Preprocessing, Classification Algorithms, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Java, Program Evaluation, Machine Learning, Feature Engineering, Algorithms, Program Implementation, Business Development

    Advanced · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Parse & Normalize Data for ML Pipelines

    Skills you'll gain: Data Preprocessing, Data Pipelines, Java, Data Processing, Feature Engineering, Data Cleansing, Data Quality, Data Transformation, Data Validation, Data Access, Continuous Monitoring, Unit Testing, Object Oriented Programming (OOP)

    Intermediate · Course · 1 - 4 Weeks

1…456…9

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

  • Apache Spark: Apply & Evaluate Big Data Workflows: EDUCBA
  • Master Java Build Tools for ML Projects: Coursera
  • Apply Modern Java Features for Clean and Efficient Code: EDUCBA
  • Master and Apply Maven for Java Build Automation: EDUCBA
  • Big Data Analysis with Scala and Spark (Scala 2 version): École Polytechnique Fédérale de Lausanne
  • Building Smarter Data Pipelines: SQL, Spark, Kafka & GenAI: Coursera
  • Test & Debug Java ML Pipelines: Coursera
  • Spark, Hadoop, and Snowflake for Data Engineering: Duke University
  • Evaluate & Swap Models in Java ML: Coursera
  • Perform data science with Azure Databricks: Microsoft

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