# Databricks Essentials for Spark Developers (Azure & AWS) - [Practice](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/practice.md) - [Databricks Notebook using Spark SQL](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/databricks-notebook-using-spark-sql.md) - [Databricks Development and Deployment Life Cycle using Scala](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/databricks-development-and-deployment-life-cycle-using-scala.md) - [6. Submit Job using Jar](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/databricks-development-and-deployment-life-cycle-using-scala/6.-submit-job-using-jar.md) - [5. Externalize Properties](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/databricks-development-and-deployment-life-cycle-using-scala/5.-externalize-properties.md) - [4. Develop application using IDE](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/databricks-development-and-deployment-life-cycle-using-scala/4.-develop-application-using-ide.md) - [3. Add Dependencies to the Project](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/databricks-development-and-deployment-life-cycle-using-scala/3.-add-dependencies-to-the-project.md) - [2. Setup Project using IntelliJ](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/databricks-development-and-deployment-life-cycle-using-scala/2.-setup-project-using-intellij.md) - [1. Introduction](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/databricks-development-and-deployment-life-cycle-using-scala/1.-introduction.md) - [Databricks Jobs & Clusters](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/databricks-jobs-and-clusters.md) - [9. Exercise - Submit the application as job using interactive cluster](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/databricks-jobs-and-clusters/9.-exercise-submit-the-application-as-job-using-interactive-cluster.md) - [8. Running Job using Job Cluster attached to Pool](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/databricks-jobs-and-clusters/8.-running-job-using-job-cluster-attached-to-pool.md) - [7. Running Job using Interactive Cluster attached to Pool](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/databricks-jobs-and-clusters/7.-running-job-using-interactive-cluster-attached-to-pool.md) - [6. Create Pool in Databricks](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/databricks-jobs-and-clusters/6.-create-pool-in-databricks.md) - [5. Submitting Jobs using Job Cluster](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/databricks-jobs-and-clusters/5.-submitting-jobs-using-job-cluster.md) - [4. Creating Jobs on Databricks using Notebook](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/databricks-jobs-and-clusters/4.-creating-jobs-on-databricks-using-notebook.md) - [3. Request to increase CPU Quota on Azure](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/databricks-jobs-and-clusters/3.-request-to-increase-cpu-quota-on-azure.md) - [2. Create Cluster on Azure Databricks](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/databricks-jobs-and-clusters/2.-create-cluster-on-azure-databricks.md) - [1. Introduction to Jobs & Cluster](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/databricks-jobs-and-clusters/1.-introduction-to-jobs-and-cluster.md) - [Databricks Notebook using Python (pyspark)](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/databricks-notebook-using-python-pyspark.md) - [Databricks Notebooks using Scala with Spark](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/databricks-notebooks-using-scala-with-spark.md) - [10. Exercise - Get the monthly revenue for each Customer using Scala](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/databricks-notebooks-using-scala-with-spark/10.-exercise-get-the-monthly-revenue-for-each-customer-using-scala.md) - [9. Save Output to CSV Files using Scala](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/databricks-notebooks-using-scala-with-spark/9.-save-output-to-csv-files-using-scala.md) - [8. Get Daily Product Revenue Sorted using Scala](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/databricks-notebooks-using-scala-with-spark/8.-get-daily-product-revenue-sorted-using-scala.md) - [7. Get Daily Product Revenue using Scala](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/databricks-notebooks-using-scala-with-spark/7.-get-daily-product-revenue-using-scala.md) - [6. Join & select data using Scala](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/databricks-notebooks-using-scala-with-spark/6.-join-and-select-data-using-scala.md) - [5. Get complete or closed orders using Scala](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/databricks-notebooks-using-scala-with-spark/5.-get-complete-or-closed-orders-using-scala.md) - [4. Visualize Data using Display in Scala](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/databricks-notebooks-using-scala-with-spark/4.-visualize-data-using-display-in-scala.md) - [3. Read order-items & products into DataFrames using Scala](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/databricks-notebooks-using-scala-with-spark/3.-read-order-items-and-products-into-dataframes-using-scala.md) - [2. Create Notebook & read orders using Scala](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/databricks-notebooks-using-scala-with-spark/2.-create-notebook-and-read-orders-using-scala.md) - [1. Define Problem Statement](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/databricks-notebooks-using-scala-with-spark/1.-define-problem-statement.md) - [Geeting Started with Databricks](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/geeting-started-with-databricks.md) - [8. Practice Test 1 : Using Databricks UI](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/geeting-started-with-databricks/8.-practice-test-1-using-databricks-ui.md) - [7. Managing File System using Notebooks](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/geeting-started-with-databricks/7.-managing-file-system-using-notebooks.md) - [6. Create Cluster in Databricks Platform](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/geeting-started-with-databricks/6.-create-cluster-in-databricks-platform.md) - [5. Overview of Databricks UI](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/geeting-started-with-databricks/5.-overview-of-databricks-ui.md) - [4. SignUp for Databricks full trial on AWS](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/geeting-started-with-databricks/4.-signup-for-databricks-full-trial-on-aws.md) - [3. Create Azure Databricks Service](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/geeting-started-with-databricks/3.-create-azure-databricks-service.md) - [2. Sign for Databriks Community Edition](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/geeting-started-with-databricks/2.-sign-for-databriks-community-edition.md) - [1. Introduction](https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws/geeting-started-with-databricks/1.-introduction.md) --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://architectures.gitbook.io/project/databricks-essentials-for-spark-developers-azure-and-aws.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. 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