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    Results for "magic commands and utilities in databricks"

    • Status: Free Trial
      Free Trial
      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, Data Storage Technologies, Containerization

      4.2
      Rating, 4.2 out of 5 stars
      ·
      92 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Web Applications and Command-Line Tools for Data Engineering

      Skills you'll gain: Jupyter, Microservices, AWS SageMaker, Cloud Engineering, Command-Line Interface, Data Pipelines, Package and Software Management, Containerization, Applied Machine Learning, Python Programming, Application Deployment, Development Environment, Test Automation, Algorithms, Virtual Environment

      4.4
      Rating, 4.4 out of 5 stars
      ·
      39 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      É

      École Polytechnique Fédérale de Lausanne

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

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

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Building Batch Data Pipelines on GCP 日本語版

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

      4.4
      Rating, 4.4 out of 5 stars
      ·
      29 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      B

      Board Infinity

      Learn Data Governance Workflows with Databricks Tools

      Skills you'll gain: Data Governance, Databricks, Data Management, Metadata Management, Data Infrastructure, Data Strategy, Information Management, Data Quality, Data Security, Real Time Data

      2.8
      Rating, 2.8 out of 5 stars
      ·
      31 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Scripting with Python and SQL for Data Engineering

      Skills you'll gain: Web Scraping, MySQL, SQL, JSON, Scripting, Data Manipulation, Data Structures, Query Languages, Database Management, Databases, Data Import/Export, Data Storage Technologies, Spatial Analysis, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      104 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      Edureka

      PySpark for Data Science

      Skills you'll gain: PySpark, Data Pipelines, Data Processing, Data Visualization, Natural Language Processing, Data Analysis Expressions (DAX), Data Integration, Data Transformation, Machine Learning, Data Cleansing, Text Mining, Deep Learning

      2.9
      Rating, 2.9 out of 5 stars
      ·
      10 reviews

      Intermediate · Specialization · 3 - 6 Months

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

      Whizlabs

      Azure AI & ML: Optimize Language Models for AI Applications

      Skills you'll gain: MLOps (Machine Learning Operations), Microsoft Azure, Prompt Engineering, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Large Language Modeling, Continuous Monitoring, Generative AI, Performance Tuning, Machine Learning

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Automation and Project Implementation in Azure Databricks

      Skills you'll gain: Databricks, CI/CD, Microsoft Azure, Data Architecture, Data Pipelines, Data Integration, Data Security, Automation, Data Storage, System Testing, Command-Line Interface

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Building Batch Data Pipelines on Google Cloud - 한국어

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

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Coursera Instructor Network

      Data Engineering: Pipelines, ETL, Hadoop

      Skills you'll gain: Data Pipelines, Apache Hadoop, Extract, Transform, Load, Data Transformation, Apache Hive, Data Strategy, Big Data, Data Warehousing, Strategic Decision-Making, Apache Spark, Data Integration, Data Processing, Data Migration, Business Analytics, Data Management, Data Quality, Data Analysis, Scalability

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Coursera Instructor Network

      Engineering Data Ecosystems: Pipelines, ETL, Spark

      Skills you'll gain: Extract, Transform, Load, Apache Spark, Data Pipelines, Data Integration, Big Data, Data Infrastructure, Data Processing, Dataflow, Data Management, Data Architecture, Scalability

      Beginner · Course · 1 - 4 Weeks

    1…567…834

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

    • Serverless Data Processing with Dataflow: Foundations: Google Cloud
    • Web Applications and Command-Line Tools for Data Engineering: Duke University
    • Big Data Analysis with Scala and Spark (Scala 2 version): École Polytechnique Fédérale de Lausanne
    • Building Batch Data Pipelines on GCP 日本語版: Google Cloud
    • Learn Data Governance Workflows with Databricks Tools: Board Infinity
    • Scripting with Python and SQL for Data Engineering: Duke University
    • PySpark for Data Science: Edureka
    • Azure AI & ML: Optimize Language Models for AI Applications: Whizlabs
    • Automation and Project Implementation in Azure Databricks: Packt
    • Building Batch Data Pipelines on Google Cloud - 한국어: Google Cloud

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