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You're reading from  Data Engineering with Apache Spark, Delta Lake, and Lakehouse

Product typeBook
Published inOct 2021
PublisherPackt
ISBN-139781801077743
Edition1st Edition
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Author (1)
Manoj Kukreja
Manoj Kukreja
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Manoj Kukreja

Manoj Kukreja is a Principal Architect at Northbay Solutions who specializes in creating complex Data Lakes and Data Analytics Pipelines for large-scale organizations such as banks, insurance companies, universities, and US/Canadian government agencies. Previously, he worked for Pythian, a large managed service provider where he was leading the MySQL and MongoDB DBA group and supporting large-scale data infrastructure for enterprises across the globe. With over 25 years of IT experience, he has delivered Data Lake solutions using all major cloud providers including AWS, Azure, GCP, and Alibaba Cloud. On weekends, he trains groups of aspiring Data Engineers and Data Scientists on Hadoop, Spark, Kafka and Data Analytics on AWS and Azure Cloud.
Read more about Manoj Kukreja

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Cleaning up Azure resources

For this training exercise, we created a scratch namespace in Azure Data Lake storage. This namespace is not required for the rest of the book, so you may delete i:

  1. Invoke the following commands in the Cloud Shell to delete the scratch namespace:
    SCRATCH_NAMESPACE="scratch"
    STORAGEACCOUNTNAME="traininglakehouse"
    az storage fs delete -n $SCRATCH_NAMESPACE --account-name $STORAGEACCOUNTNAME --yes
  2. Invoke the following commands in the Cloud Shell to delete the Azure Databricks workspace:
    RESOURCEGROUPNAME="training_rg"
    WORKSPACE="trainingdatabricks"
    az config set extension.use_dynamic_install=yes_without_prompt
    az databricks workspace delete --resource-group $RESOURCEGROUPNAME --name $WORKSPACE

The resources have now been deleted and we should be good to go!

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Data Engineering with Apache Spark, Delta Lake, and Lakehouse
Published in: Oct 2021Publisher: PacktISBN-13: 9781801077743

Author (1)

author image
Manoj Kukreja

Manoj Kukreja is a Principal Architect at Northbay Solutions who specializes in creating complex Data Lakes and Data Analytics Pipelines for large-scale organizations such as banks, insurance companies, universities, and US/Canadian government agencies. Previously, he worked for Pythian, a large managed service provider where he was leading the MySQL and MongoDB DBA group and supporting large-scale data infrastructure for enterprises across the globe. With over 25 years of IT experience, he has delivered Data Lake solutions using all major cloud providers including AWS, Azure, GCP, and Alibaba Cloud. On weekends, he trains groups of aspiring Data Engineers and Data Scientists on Hadoop, Spark, Kafka and Data Analytics on AWS and Azure Cloud.
Read more about Manoj Kukreja