Top Magic Commands And Utilities In Databricks Courses - Learn Magic Commands And Utilities In Databricks Online

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Results for "magic commands and utilities in databricks"

Google Cloud
Creating a Data Transformation Pipeline with Cloud Dataprep
Skills you'll gain: Data Manipulation, Data Processing, Data Pipelines, Data Transformation, Data Quality, Data Cleansing, Data Import/Export, Extract, Transform, Load, Exploratory Data Analysis, Big Data, Google Cloud Platform, Google Analytics
Intermediate · Project · Less Than 2 Hours
Google Cloud
Configuring MongoDB Atlas with BigQuery Dataflow Templates
Skills you'll gain: MongoDB, Dataflow, Applied Machine Learning, Google Cloud Platform, Data Pipelines, Big Data, Data Integration
Intermediate · Project · Less Than 2 Hours
Google Cloud
Using gsutil to Perform Operations on Buckets and Objects
Skills you'll gain: Cloud Management, Cloud Storage, File Management, Cloud Computing, Data Storage, Google Cloud Platform, Python Programming
Beginner · Project · Less Than 2 Hours
Coursera Project Network
Mejores prácticas para el procesamiento de datos en Big Data
Skills you'll gain: Databricks, Real Time Data, PySpark, Apache Hive, Apache Spark, Big Data, Data Processing, SQL, Data Manipulation, Pandas (Python Package)
4.8
Rating, 4.8 out of 5 stars
43 reviews
Intermediate · Guided Project · Less Than 2 Hours
Google Cloud
Dataplex: Qwik Start - Command Line
Skills you'll gain: Command-Line Interface, Data Lakes, Google Cloud Platform, Cloud Management, File Management, Cloud API, Data Access, Data Analysis
Beginner · Project · Less Than 2 Hours
Google Cloud
Machine Learning with Spark on Google Cloud Dataproc
Skills you'll gain: Apache Spark, Google Cloud Platform, Predictive Modeling, Big Data, Applied Machine Learning, Cloud Computing, Statistical Modeling
Intermediate · Project · Less Than 2 Hours
Google Cloud
Introduction to Cloud Dataproc: Hadoop and Spark on Google Cloud
Skills you'll gain: Apache Spark, Managed Services, Google Cloud Platform, Big Data, Apache Hadoop, Data Management, Servers
4
Rating, 4 out of 5 stars
11 reviews
Beginner · Project · Less Than 2 Hours
Google Cloud
BigQuery: Qwik Start - Command Line
Skills you'll gain: Data Access, Command-Line Interface, Big Data, Google Cloud Platform, Query Languages, Data Import/Export
Beginner · Project · Less Than 2 Hours
Status: Free
Google Cloud
Accelerate Migration from Control-M to Apache Airflow with DAGify
Skills you'll gain: Apache Airflow, Data Migration, Data Pipelines, Cloud Development, Development Environment
Intermediate · Project · Less Than 2 Hours
Google Cloud
Distributed Image Processing in Cloud Dataproc
Skills you'll gain: Apache Spark, PySpark, Google Cloud Platform, Cloud Management, Cloud Computing, Distributed Computing, Package and Software Management
Intermediate · Project · Less Than 2 Hours
Status: Free Trial
Edureka
Data Streaming and NLP with PySpark
Skills you'll gain: PySpark, Data Pipelines, Apache Spark, Data Processing, Real Time Data, Data Visualization, Natural Language Processing, Distributed Computing, Text Mining, Data Transformation, Deep Learning, Performance Tuning
Intermediate · Course · 1 - 3 Months
Google Cloud
Cloud Composer: Copying BigQuery Tables Across Different Locations
Skills you'll gain: Data Import/Export, Apache Airflow, Cloud Storage, Data Migration, Google Cloud Platform, Data Pipelines, Configuration Management
Intermediate · Project · Less Than 2 Hours

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

Creating a Data Transformation Pipeline with Cloud Dataprep: Google Cloud
Configuring MongoDB Atlas with BigQuery Dataflow Templates: Google Cloud
Using gsutil to Perform Operations on Buckets and Objects: Google Cloud
Mejores prácticas para el procesamiento de datos en Big Data: Coursera Project Network
Dataplex: Qwik Start - Command Line: Google Cloud
Machine Learning with Spark on Google Cloud Dataproc: Google Cloud
Introduction to Cloud Dataproc: Hadoop and Spark on Google Cloud: Google Cloud
BigQuery: Qwik Start - Command Line: Google Cloud
Accelerate Migration from Control-M to Apache Airflow with DAGify: Google Cloud
Distributed Image Processing in Cloud Dataproc: Google Cloud