121. Databricks | Pyspark| AutoLoader: Incremental Data Load

Azure Databricks Learning: Databricks and Pyspark: AutoLoader: Incremental Data Load
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AutoLoader in Databricks is a crucial feature that streamlines the process of ingesting and processing large volumes of data efficiently. This automated data loading mechanism is instrumental for real-time or near-real-time data pipelines, allowing organizations to keep their data lakes up-to-date with minimal manual intervention. By automatically detecting and loading new or modified files from cloud storage, AutoLoader enhances data engineers' productivity, reduces latency in data availability, and ensures data accuracy. It plays a pivotal role in enabling timely insights and analytics, making it an indispensable component in modern data architectures.

To get more understanding, watch this video

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[sravankumar]

SUPERB EXPLANATION Raja 👌 👏 👍 came with New Topic

[anjumanrahman]

Thanks Raja for the entire Databricks Playlist.
Could you please make tutorial videos on Unity catalog

[HarshitSingh-lqyp]

Where can we get the demo notebook that you have shown in the lecture, would appreciate the response, thanks!

[ranjansrivastava]

Dear Raja, if possible can you please create a live demo on this Auto Loader topics. It's very informative and important for the project point of view.

[andrejbelak]

Great video, can you share the example notebook please

[jhonsen]

Exellent. I have one question. Most of the time Interviewer ask on SchemaEvolution what is the ideal option to tell among those four you mentioned or its depend on type of data and type of processing you do.

[oiwelder]

Sir, could you create content explaining Airflow with pyspark?

[BRO_B]

Can you please make a video on Job creation how to configure variables\parameters using notebook to deploy one environment to another environment (i.e. Dev to UAT or UAT to Prod) ? Also, make a video on custom logging mechanism to capture the success\failure for each notebook? if you share these it will be helpful.

[thepakcolapcar]

sorry, one more question related to autoloader. In case if a databricks notebook is moved converted to be run on EMR cluster, does the autoloader equivalent compatible feature exists on EMR side? Asking because I believe autoloader is databricks specific feature

[lucaslira]

Is it possible to use 1 auto loader notebook for several tables changing the path dynamically coming from the data factory?

[pavankumarveesam]

So raj over here maxfileage is used to get the latest files or two perform incremental load is it?, as i cannot see any code in the video wth incremental load operation like water mark metho in adf

[trilokinathji]

34:44 why trigger while writing? Please make video what are available option in trigger.

[prabhatgupta]

Hello Sir.
i am very much confused. I want to know how people used to apply incremental load in azure DE when autoloader was not there.
Please create a video on that. Untill and unless we know about the old method we cant understand the solved Problem.
How company used to follow upsert in azure de when data used to keep on changing.?

[hritiksharma]

Hi Raja,
I am getting an error in azure databricks interactive cluster as driver is up but unresponsive likely due to GC.

Any idea how to solve this issue ?
Can we increase heap memory for this issue ?

[sreevidyaVeduguri]

Can we use auto loader for delta tables in Databricks

[harshitagrwal]

It can only be used for streaming data ?

[lucaslira]

can you make a video using auto loader + forechBatch please? using merge

[ankitsaxena]

Sir, please share the spark full play list

[riyazbasha]

Will you take online class on data engineer

[bhargaviakkineni]

Sir could you please make a video on zip and zipwithindex requesting