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  • Spark 20 Java

Results for "spark%20java"


  • I

    IBM

    Machine Learning with Apache Spark

    Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Model Evaluation, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Processing, Extract, Transform, Load, Classification Algorithms, Data Transformation, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    114 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Pittsburgh

    Big Data Processing with Hadoop and Spark

    Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Data Pipelines, Distributed Computing, Big Data, Apache Hive, Data Processing, Data Storage Technologies, Data Storage, Scikit Learn (Machine Learning Library), Predictive Modeling, Scalability, Data Management, Data Science, Data Transformation, Information Technology, Data Analysis, Python Programming

    Build toward a degree

    Intermediate · Course · 1 - 4 Weeks

  • I

    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, Development Environment, Distributed Computing, Performance Tuning, Data Transformation, Debugging

    4.4
    Rating, 4.4 out of 5 stars
    ·
    476 reviews

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Introduction to Data Engineering

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    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
    ·
    95 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Hands-On Projects
    Hands-On Projects
    U

    University of Colorado Boulder

    Master of Science in Data Science

    Skills you'll gain: Prompt Engineering, User Story, New Product Development, Model Based Systems Engineering, Model Evaluation, Failure Analysis, Sustainable Business, Data Mining, Field-Programmable Gate Array (FPGA), Delegation Skills, Real-Time Operating Systems, Object Oriented Design, Sampling (Statistics), Proposal Writing, Supplier Management, Accountability, Data Ethics, Sustainability Reporting, Database Design, Supervised Learning

    Earn a degree

    Degree · 1 - 4 Years

  • C

    Coursera

    Ensure Consistency in Streaming Pipelines

    Skills you'll gain: Apache Kafka, Data Pipelines, Integration Testing, Transaction Processing, Data Integrity, Real Time Data, Apache Spark, Data Architecture, System Design and Implementation, Service Level, Event Monitoring, Performance Tuning, Project Implementation, Apache, Production Management, Internet Of Things

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Process & Analyze Real-Time Data Fast

    Skills you'll gain: Real Time Data, Apache Spark, Fraud detection, PySpark, Databricks, Data Pipelines, Dashboard, Big Data, Performance Tuning, Data Processing, Anomaly Detection, Operational Databases, Internet Of Things, Data Analysis, Performance Analysis, Trend Analysis

    Intermediate · Course · 1 - 4 Weeks

  • K

    KodeKloud

    Hands-On MLOps Fundamentals for ML Engineers

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Apache Airflow, Data Pipelines, Apache Kafka, DevOps, CI/CD, Apache Spark, Pandas (Python Package), Deep Learning, Applied Machine Learning, Machine Learning, Data Governance, Supervised Learning, Flask (Web Framework), Grafana, Python Programming, Automation, Unsupervised Learning, Continuous Monitoring

    Beginner · Specialization · 1 - 3 Months

  • P

    Packt

    Big Data Foundations with Hadoop and Spark

    Skills you'll gain: Apache Kafka, Apache Hadoop, Apache Spark, Real Time Data, Scala Programming, Data Integration, Command-Line Interface, Apache Hive, Big Data, Applied Machine Learning, Data Processing, Apache, System Design and Implementation, Apache Cassandra, Data Pipelines, Java, Distributed Computing, IntelliJ IDEA, Application Deployment, Enterprise Application Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Trending in AI
    Trending in AI
    I

    IBM

    IBM AI Engineering

    Skills you'll gain: Prompt Engineering, Apache Spark, PyTorch (Machine Learning Library), Large Language Modeling, Retrieval-Augmented Generation, Transfer Learning, Model Evaluation, Computer Vision, Unsupervised Learning, Generative Model Architectures, Generative AI, PySpark, Vision Transformer (ViT), Keras (Neural Network Library), Supervised Learning, Generative AI Agents, Vector Databases, Machine Learning, Python Programming, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • P

    Pragmatic AI Labs

    Enterprise AI and Data Engineering with Databricks

    Skills you'll gain: Prompt Engineering, MLOps (Machine Learning Operations), Data Pipelines, Databricks, Generative AI, Data Lakes, Generative AI Agents, Data Governance, Data Architecture, AI Enablement, Data Modeling, Data Management, Data Processing, Data Strategy, Data Quality, Scala Programming, SQL, Python Programming, Data Visualization, Data Literacy

    Beginner · Specialization · 3 - 6 Months

1234…23

In summary, here are 10 of our most popular spark%20java courses

  • Machine Learning with Apache Spark: IBM
  • Big Data Processing with Hadoop and Spark: University of Pittsburgh
  • Introduction to Big Data with Spark and Hadoop: IBM
  • Introduction to Data Engineering: IBM
  • Building Smarter Data Pipelines: SQL, Spark, Kafka & GenAI: Coursera
  • Master of Science in Data Science: University of Colorado Boulder
  • Ensure Consistency in Streaming Pipelines: Coursera
  • Process & Analyze Real-Time Data Fast: Coursera
  • Hands-On MLOps Fundamentals for ML Engineers: KodeKloud
  • Big Data Foundations with Hadoop and Spark: Packt

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