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View profile for Vishal Waghmode, graphic

Founder @ WTD Analytics | Databricks MVP & Partner | Data Engineering Consulting

What is Databricks Auto Loader and How can it help you improve your Data Ingestion process? Databricks Auto Loader is a tool that simplifies the process of bringing new data into your data lake. It automatically finds and loads files as they arrive, making it much easier to handle streaming data without a lot of manual work. Why Use Auto Loader? - It keeps an eye on your data storage and ingests new files as soon as they appear. It can figure out the structure of your data (like Parquet or JSON) and adjust as your data changes. It can manage large amounts of data without any hassle. Before Auto Loader: You had to write custom scripts to manually load files. There was a higher chance of missing data or making mistakes. After Auto Loader: Files are ingested automatically without you lifting a finger. The process is more reliable, and you spend less time on manual tasks. #Databricks #dataengineering #WhatsTheData

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Pradeep Shedbale

Associate Principal - Data Engineering @ LTIMindtree | Azure | Databricks | GCP

3w

Very nicely articulated... can you elaborate on file notification mode and directory listing mode which comes with auto loader?

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Andy Richardson

DAMA, CDMP | Data Architect at BJSS

3w

Vishal Waghmode, what about ingestion from on-premises/ cloud databases. Can auto-loader load data from these?

Felipe Silvestre

Data Manager | Governança | Advisor DadosTech | Snowflake | Databricks | BigQuery (GCP) | Synapse (Azure) | RedShift (AWS) | SageMaker (AWS)

3w

Muito informativo

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