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    Results for "spark+streaming"

    • IBM

      NoSQL, Big Data, and Spark Foundations

      Skills you'll gain: NoSQL, Apache Hadoop, Apache Spark, MongoDB, PySpark, Apache Hive, Databases, Apache Cassandra, Big Data, Machine Learning, Generative AI, IBM Cloud, Applied Machine Learning, Kubernetes, Supervised Learning, Distributed Computing, Docker (Software), Database Management, Data Pipelines, Scalability

      4.5
      Rating, 4.5 out of 5 stars
      ·
      752 reviews

      Beginner · Specialization · 3 - 6 Months

    • 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, Distributed Computing, Performance Tuning, Data Transformation, Debugging

      4.4
      Rating, 4.4 out of 5 stars
      ·
      434 reviews

      Intermediate · Course · 1 - 3 Months

    • Google Cloud

      Serverless Data Processing with Dataflow

      Skills you'll gain: Dataflow, Data Pipelines, Serverless Computing, Identity and Access Management, Google Cloud Platform, Cloud Security, Performance Tuning, Data Security, CI/CD, Data Processing, Debugging, Real Time Data, System Monitoring, Data Storage Technologies, Unit Testing, Containerization, Disaster Recovery, Data Transformation, Jupyter, JSON

      4.1
      Rating, 4.1 out of 5 stars
      ·
      119 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Google Cloud

      Data Engineering, Big Data and ML on Google Cloud 日本語版

      Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Data Lakes, Data Warehousing, Real Time Data, Data Management, Data Infrastructure, Cloud Engineering, Unstructured Data, Cloud Storage, MLOps (Machine Learning Operations), Applied Machine Learning, Tensorflow, Big Data, Data Visualization, Extract, Transform, Load, Dashboard, Data Architecture, Data Processing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      289 reviews

      Intermediate · Specialization · 3 - 6 Months

    • IBM

      ETL and Data Pipelines with Shell, Airflow and Kafka

      Skills you'll gain: Extract, Transform, Load, Apache Airflow, Data Pipelines, Apache Kafka, Data Warehousing, Data Transformation, Data Migration, Web Scraping, Data Integration, Shell Script, Data Processing, Real Time Data, Data Cleansing, Big Data, Performance Tuning, Scalability

      4.5
      Rating, 4.5 out of 5 stars
      ·
      408 reviews

      Intermediate · Course · 1 - 3 Months

    • Google Cloud

      Building Batch Data Pipelines on Google Cloud

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

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Course · 1 - 3 Months

    • Google Cloud

      Building Resilient Streaming Analytics Systems on Google Cloud

      Skills you'll gain: Real Time Data, Data Pipelines, Google Cloud Platform, Data Processing, Big Data, Analytics, SQL, Data Transformation, Performance Tuning, Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free

      IBM

      Machine Learning with Apache Spark

      Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Processing, Extract, Transform, Load, Predictive Modeling, Classification And Regression Tree (CART), Data Transformation, Regression Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      97 reviews

      Intermediate · Course · 1 - 4 Weeks

    • IBM

      Scalable Machine Learning on Big Data using Apache Spark

      Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage, Machine Learning Algorithms, Distributed Computing, Data Processing, Data Wrangling, Exploratory Data Analysis, Statistical Analysis

      3.8
      Rating, 3.8 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Google Cloud

      Serverless Data Processing with Dataflow: Foundations

      Skills you'll gain: Dataflow, Serverless Computing, Identity and Access Management, Data Pipelines, Google Cloud Platform, Cloud Security, Data Processing, Data Security, Data Storage Technologies, Containerization

      4.2
      Rating, 4.2 out of 5 stars
      ·
      88 reviews

      Intermediate · Course · 1 - 3 Months

    • Microsoft

      Build and Operate Machine Learning Solutions with Azure

      Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Databricks, Cloud Computing, Applied Machine Learning, Data Ethics, Data Pipelines, Machine Learning, Tensorflow, Continuous Monitoring, Scalability

      3.8
      Rating, 3.8 out of 5 stars
      ·
      65 reviews

      Intermediate · Course · 1 - 3 Months

    • University of California San Diego

      Hadoop Platform and Application Framework

      Skills you'll gain: Apache Hadoop, Big Data, Data Analysis, Apache Spark, Data Science, Data Processing, Distributed Computing, Performance Tuning, Scalability

      4
      Rating, 4 out of 5 stars
      ·
      3.3K reviews

      Mixed · Course · 1 - 3 Months

    1234…9

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

    • NoSQL, Big Data, and Spark Foundations: IBM
    • Introduction to Big Data with Spark and Hadoop: IBM
    • Serverless Data Processing with Dataflow: Google Cloud
    • Data Engineering, Big Data and ML on Google Cloud 日本語版: Google Cloud
    • ETL and Data Pipelines with Shell, Airflow and Kafka: IBM
    • Building Batch Data Pipelines on Google Cloud: Google Cloud
    • Building Resilient Streaming Analytics Systems on Google Cloud: Google Cloud
    • Machine Learning with Apache Spark: IBM
    • Scalable Machine Learning on Big Data using Apache Spark: IBM
    • Serverless Data Processing with Dataflow: Foundations: Google Cloud

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