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  • Magic Commands And Utilities In Databricks

Results for "magic commands and utilities in databricks"


  • Status: Free Trial
    Free Trial
    D

    Duke University

    Python, Bash and SQL Essentials for Data Engineering

    Skills you'll gain: Pandas (Python Package), Bash (Scripting Language), Version Control, Jupyter, Linux Commands, Git (Version Control System), Shell Script, Linux, Web Scraping, Linux Administration, Data Manipulation, MySQL, Microservices, AWS SageMaker, SQL, JSON, Cloud Engineering, Python Programming, Big Data, Data Science

    4.5
    Rating, 4.5 out of 5 stars
    ·
    463 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    W

    Whizlabs

    Microsoft Fabric: Ingest and Transform Data

    Skills you'll gain: Real Time Data, Data Pipelines, Data Transformation, Data Integration, Data Processing, Extract, Transform, Load, Power BI, Data Lakes, PySpark, Apache Spark, Data Quality, Data Governance, Analytics

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Building Modern Data Applications Using Databricks Lakehouse

    Skills you'll gain: Databricks, Data Lakes, Data Transformation, Data Quality, Data Governance, Data Pipelines, Real Time Data, Data Warehousing, Data Management, Terraform, Data Validation, Apache Spark, Data Integrity, Data Storage, CI/CD, Cloud Computing, Scalability, Data Security

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    Edureka

    PySpark for Data Science

    Skills you'll gain: PySpark, Data Pipelines, Dashboard, Data Processing, Data Storage Technologies, Data Visualization, Natural Language Processing, Data Analysis Expressions (DAX), Machine Learning Methods, Data Storage, Data Transformation, Machine Learning, Deep Learning, Logistic Regression

    2.7
    Rating, 2.7 out of 5 stars
    ·
    11 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Automate, Validate, and Promote ML Models Safely

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, CI/CD, Model Deployment, Continuous Integration, Continuous Delivery, Continuous Deployment, Cloud Platforms, Model Evaluation, Automation, Data Governance, Performance Tuning, Continuous Monitoring, Performance Analysis, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    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
    ·
    14 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Hands-on Introduction to Linux Commands and Shell Scripting

    Skills you'll gain: Linux Commands, Bash (Scripting Language), Shell Script, File Management, Linux, File Systems, Unix Commands, Scripting, Command-Line Interface, Ubuntu, Linux Administration, Unix, Operating Systems, Network Protocols, OS Process Management, Automation, Software Installation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    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

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Applied Python Data Engineering

    Skills you'll gain: Data Visualization Software, PySpark, Data Visualization, Data Storytelling, Statistical Visualization, Site Reliability Engineering, Docker (Software), Databricks, Containerization, Interactive Data Visualization, Plot (Graphics), Plotly, Data Pipelines, Matplotlib, Kubernetes, Apache Spark, Apache Hadoop, Big Data, Data Science, Python Programming

    3.8
    Rating, 3.8 out of 5 stars
    ·
    111 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Microsoft Azure - Data Factory

    Skills you'll gain: Data Integration, Data Pipelines, Data Lakes, Microsoft Azure, Azure Synapse Analytics, Performance Tuning, Data Processing, Data Migration, Data Transformation, Data Validation, Microsoft SQL Servers, Data Storage

    4.4
    Rating, 4.4 out of 5 stars
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    17 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    E

    Edureka

    Business Intelligence with Databricks

    Skills you'll gain: Data-Driven Decision-Making, Data Management, Database Development

    4.2
    Rating, 4.2 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    E

    Edureka

    Introduction to PySpark

    Skills you'll gain: PySpark, Apache Spark, Data Management, Distributed Computing, Apache Hadoop, Data Processing, Data Analysis, Exploratory Data Analysis, Python Programming, Scalability

    3.7
    Rating, 3.7 out of 5 stars
    ·
    48 reviews

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular magic commands and utilities in databricks courses

  • Python, Bash and SQL Essentials for Data Engineering: Duke University
  • Microsoft Fabric: Ingest and Transform Data: Whizlabs
  • Building Modern Data Applications Using Databricks Lakehouse: Packt
  • PySpark for Data Science: Edureka
  • Automate, Validate, and Promote ML Models Safely: Coursera
  • Big Data Foundations with Hadoop and Spark: Packt
  • Hands-on Introduction to Linux Commands and Shell Scripting: IBM
  • Parse & Normalize Data for ML Pipelines: Coursera
  • Applied Python Data Engineering: Duke University
  • Microsoft Azure - Data Factory: EDUCBA

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