Seamless Data Integration: ETL from Google Cloud Storage Bucket to BigQuery with Cloud Functions

Подписаться 14 тыс.

Просмотров 14 тыс.

50% 1

===================================================================
1. SUBSCRIBE FOR MORE LEARNING :
/ @cloudquicklabs
===================================================================
2. CLOUD QUICK LABS - CHANNEL MEMBERSHIP FOR MORE BENEFITS :
/ @cloudquicklabs
===================================================================
3. BUY ME A COFFEE AS A TOKEN OF APPRECIATION :
www.buymeacoffee.com/cloudqui...
===================================================================
In this video, we delve into the process of extracting, transforming, and loading (ETL) data from a Google Cloud Storage (GCS) bucket into BigQuery using Cloud Functions. We explore how to seamlessly integrate these powerful Google Cloud services to enable efficient data management and analysis.
Throughout the video, we demonstrate step-by-step instructions on setting up the ETL pipeline. We cover topics such as configuring access permissions, creating triggers for automated data ingestion, and implementing transformation logic using Cloud Functions.
By the end of this tutorial, viewers will have a clear understanding of how to leverage the capabilities of Google Cloud Storage, BigQuery, and Cloud Functions to orchestrate a reliable and scalable ETL process. Whether you're a data engineer, analyst, or developer, this video will equip you with the knowledge to streamline data workflows and maximize the potential of your Google Cloud infrastructure.
Repo link : github.com/RekhuGopal/PythonH...
#ETL #GoogleCloudStorage #BigQuery #CloudFunction #DataIntegration #DataManagement #DataAnalysis #DataEngineering #GoogleCloudPlatform #CloudComputing #DataProcessing #AutomatedETL #CloudInfrastructure #DataWorkflows #DataPipeline #GoogleCloudServices #DataTransformation #DataIngestion #DataAnalytics #ETLTutorial #CloudTutorial #GoogleCloudTutorial #ETLBestPractices #DataIntegrationPipeline #DataIntegrationBestPractices #CloudDevelopment #DataProcessingPipeline

Наука

Опубликовано:

10 июн 2023

Ссылка:

Скачать:

Готовим ссылку...

Добавить в:

Мой плейлист

Посмотреть позже

Комментарии : 22

@andrewbateman2282 7 месяцев назад

Useful informative video. Thanks.

@cloudquicklabs 7 месяцев назад

Thank you for watching my videos. Glad that it helped you.

@vashishtarora6163 6 месяцев назад

@@cloudquicklabs Informative video... its previous video(where code is explained) is not having Audio. ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-bHD8aRaWZOY.html. from 14 minutes

@tejaspise4638 3 месяца назад

Great video, where can i learn to write the script like the one used in the video(i want to learn how to use the google cloud library)

@cloudquicklabs 3 месяца назад

Thank you for watching my videos. Glad that it helped you. To get started you can check GCP documents for developers using APIs, I shall create new videos in future as well.

@prashantshankavaram 6 месяцев назад

Hi Anjan, thank you for the nice video. But the code given does not work. is it because the entry point has to be modified

@cloudquicklabs 6 месяцев назад

Thank you for watching my videos. And thak you for sharing your inputs here.

@sprinter5901 6 месяцев назад

8:27 I don't have the entry point function like you have. Its just an empty function with some comments inside.

@sprinter5901 6 месяцев назад

for those who want the code- import functions_framework # Triggered by a change in a storage bucket @functions_framework.cloud_event def hello_gcs(cloud_event): data = cloud_event.data event_id = cloud_event["id"] event_type = cloud_event["type"] bucket = data["bucket"] name = data["name"] metageneration = data["metageneration"] timeCreated = data["timeCreated"] updated = data["updated"] print(f"Event ID: {event_id}") print(f"Event type: {event_type}") print(f"Bucket: {bucket}") print(f"File: {name}") print(f"Metageneration: {metageneration}") print(f"Created: {timeCreated}") print(f"Updated: {updated}")

@cloudquicklabs 6 месяцев назад

Thank you for watching my videos. Cloud is always evolutionary, it might have changed. Please find the necessary files from GitHub link shared in videos description. Note that GCP auto populating the code syntax as soon as you choose the run time at code option while creating Cloud Function.

@zzzmd11 3 месяца назад

Hi, Thanks for the great informative video. can you explain the flow if the data srouce is from a Rest API. Can we have a dataflow configured to extract from a Rest API to big query with dataflow without having cloud functions or Apache beam scripts involved? Thanks a lot in advance..

@cloudquicklabs 3 месяца назад

Thank you for watching my videos. Your requirement is custom ,where data source is API and you should query API to get data. And I believe in this case Cloud Function best suitable as API need invocation here.

@theamithsingh 5 месяцев назад

do an entire series that, shows how to engineer data on gcp :)

@cloudquicklabs 5 месяцев назад

Thank you for watching my videos. Appreciate your valuable inputs here. I shall make this in my plan.

@CarlosMarin-lp9xe 11 месяцев назад

Hi! I got this error "NameError: name 'data' is not defined". Does anyone know how to fix it? Thanks in advance.

@cloudquicklabs 11 месяцев назад

Thank you for watching my videos. It looks to be code syntax issues. Please check you code again, May be you can re-use the file I shared in description

@hilo-coding-tutorials 8 месяцев назад

i had the exact same issue and copy/pasted your code directly into the cloud function. What line in your code do you define this variable?@@cloudquicklabs

@iFunktion 6 месяцев назад

Not sure how you managed this at all, I just get an error saying Container Failed to Start. Any tips on what might have failed because google cloud does not appear to give any help

@cloudquicklabs 6 месяцев назад

Thank you for watching my videos. While I understand the difficulty to use GCP service (as community is very small), to me it looks that you have issue at setting Cloud Function, May be try creating new Cloud function once again , do follow the video carefully. All the best.

@vashishtarora6163 6 месяцев назад

its previous video(where code is explained) is not having Audio. ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-bHD8aRaWZOY.html.

@cloudquicklabs 6 месяцев назад

Thank you for watching my videos. Yes there was miss in recording , Apologies. But the required code of the video can be found in video description which is missing piece in this video.