{"id":17853,"date":"2022-02-08T00:52:24","date_gmt":"2022-02-07T19:22:24","guid":{"rendered":"http:\/\/onlineappsdba.com\/?p=17853"},"modified":"2022-02-08T00:52:24","modified_gmt":"2022-02-07T19:22:24","slug":"reading-and-writing-data-in-databricks","status":"publish","type":"post","link":"https:\/\/onlineappsdba.com\/index.php\/2022\/02\/08\/reading-and-writing-data-in-databricks\/","title":{"rendered":"Reading and Writing Data In DataBricks"},"content":{"rendered":"

In this blog, we are going to cover Reading and Writing Data in Azure Databricks. Azure Databricks supports day-to-day data-handling functions, such as reading, writing, and querying.<\/p>\n

Azure Databricks is a data analytics platform optimized for the Microsoft Azure cloud services platform. Azure Databricks offers three environments for developing data-intensive applications: Databricks SQL, Databricks Data Science & Engineering, and Databricks Machine Learning.<\/p>\n

Azure Databricks, is a fully managed service that provides powerful ETL, analytics, and machine learning capabilities. Unlike other vendors, it is a first-party service on Azure that integrates seamlessly with other Azure services such as event hubs and Cosmos DB.<\/p>\n

Types to Read and Write the Data in Azure Databricks
\nCSV Files
\nJSON Files
\nParquet Files<\/p>\n

CSV Files
\nWhen reading CSV files with a specified schema, it is possible that the data in the files does not match the schema. For example, a field containing the name of the city will not parse as an integer.<\/p>\n

JSON Files
\nYou can read JSON files in single-line or multi-line mode. In single-line mode, a file can be split into many parts and read in parallel.<\/p>\n

Parquet Files
\nApache Parquet is a columnar file format that provides optimizations to speed up queries and is a far more efficient file format than CSV or JSON.<\/p>\n

Want to know more about Reading and Writing Data In DataBricks
\nRead the blog post at https:\/\/k21academy.com\/azurede39<\/a> to learn more.<\/p>\n

Topics we\u2019ll Cover:<\/p>\n

Azure Databricks
\nTypes to read and write data in data bricks
\nTable batch read and write
\nPerform read and write operations in Azure Databricks<\/p>\n

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\n<\/span><\/p>\n

\"https:\/\/k21academy.com\/wp-content\/uploads\/2021\/06\/CU_DP203_GIF1.gif\"<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

In this blog, we are going to cover Reading and Writing Data in Azure Databricks. Azure Databricks supports day-to-day data-handling […]<\/p>\n","protected":false},"author":115,"featured_media":17854,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[570,540],"tags":[],"class_list":["post-17853","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-engineer","category-microsoft-azure"],"yoast_head":"\nReading and Writing Data in Azure Databricks | Parquet Files<\/title>\n<meta name=\"description\" content=\"In this blog, we are going to cover Reading and Writing Data in Azure Databricks. 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