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  • Data Processing With Pyspark

Results for "data processing with pyspark"


  • D

    Duke University

    Pandas for Data Science

    Skills you'll gain: Pandas (Python Package), Data Cleansing, Data Manipulation, Data Preprocessing, Data Wrangling, NumPy, File I/O, Query Languages, Data Integration, Python Programming, Debugging

    ★ 4.3 (16) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Optimize Spark Performance: Analyze & Accelerate

    Skills you'll gain: Apache Spark, Performance Tuning, Data Persistence, Data Pipelines, Systems Analysis

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Fix Data Bottlenecks: Optimize Spark Performance

    Skills you'll gain: Apache Spark, Distributed Computing, Data Pipelines, Performance Tuning, Scalability, Debugging, Performance Analysis, Data Processing

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Serverless Data Processing with Dataflow: Develop Pipelines

    Skills you'll gain: Dataflow, Data Pipelines, Data Processing, Real Time Data, File I/O, Data Transformation, Jupyter, Performance Tuning, SQL

    ★ 4 (44) · Advanced · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Optimize Spark Performance & Throughput

    Skills you'll gain: Apache Spark, Performance Tuning, PySpark, Service Level, Resource Allocation, Process Optimization, Performance Analysis, Memory Management, Job Analysis, System Configuration

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • M

    Microsoft

    Perform data science with Azure Databricks

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

    ★ 3.1 (79) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • G

    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, Cloud Storage, Containerization, Interoperability

    ★ 4.1 (94) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of California San Diego

    Big Data Integration and Processing

    Skills you'll gain: Apache Spark, Apache Hadoop, Data Integration, Big Data, Data Pipelines, Data Processing, Data Management, NoSQL, Database Management Systems, Analytics, Splunk, Database Systems, MongoDB, Pandas (Python Package), Query Languages, PostgreSQL

    ★ 4.4 (2.4K) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Process Real-Time Data with Spark Streams

    Skills you'll gain: Apache Kafka, Real Time Data, Apache Spark, Data Pipelines, PySpark, Scalability, Live Streaming, Data-Driven Decision-Making, Data Lakes, Data Integration, Fraud detection, Data Processing, Event Monitoring, Data Transformation, JSON, Event Management

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Databricks Machine Learning Fundamentals

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Model Training, Application Deployment, AI Workflows, Model Evaluation, Real Time Data, Engineering

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Serverless Data Processing with Dataflow en Español

    Skills you'll gain: Dataflow, Data Pipelines, Serverless Computing, Data Processing, Apache Kafka, Cloud Security, Identity and Access Management, Performance Tuning, Google Cloud Platform, Data Integrity, Data Security, Site Reliability Engineering, Code Reusability, Maintainability, Real Time Data, Data Transformation, Debugging, System Monitoring, CI/CD, SQL

    Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Serverless Data Processing with Dataflow: Develop Pipelines en Español

    Skills you'll gain: Dataflow, Data Pipelines, Apache Kafka, Real Time Data, Data Processing, SQL, File I/O, Pandas (Python Package), Google Cloud Platform, Data Transformation, Analytics, Jupyter

    Advanced · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…456…834

In summary, here are 10 of our most popular data processing with pyspark courses

  • Pandas for Data Science: Duke University
  • Optimize Spark Performance: Analyze & Accelerate: Coursera
  • Fix Data Bottlenecks: Optimize Spark Performance: Coursera
  • Serverless Data Processing with Dataflow: Develop Pipelines: Google Cloud
  • Optimize Spark Performance & Throughput: Coursera
  • Perform data science with Azure Databricks: Microsoft
  • Serverless Data Processing with Dataflow: Foundations: Google Cloud
  • Big Data Integration and Processing: University of California San Diego
  • Process Real-Time Data with Spark Streams: Coursera
  • Databricks Machine Learning Fundamentals: Coursera

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