Nick Untitled(@nicknznick) 's Twitter Profile Photo

เรียนคอร์ส Road to Data Engineer ของ Perth Woratana 🇦🇺🇹🇭 ในเว็บ DataTH เลยฝึกทำโปรเจคเองแรกเองด้วย
- Google Cloud เช่น Cloud Storage, Cloud Composer, Dataproc และ BigQuery
- Google Looker Studio ทำ Dashboard

ทำเสร็จเขียนลงบล็อกเลย ว่าแต่เขียนมันมือไปหน่อย ยาว 😅

nickuntitled.com/2024/01/26/13-…

เรียนคอร์ส Road to Data Engineer ของ @woraperth ในเว็บ DataTH เลยฝึกทำโปรเจคเองแรกเองด้วย 
- Google Cloud เช่น Cloud Storage, Cloud Composer, Dataproc และ BigQuery
- Google Looker Studio ทำ Dashboard

ทำเสร็จเขียนลงบล็อกเลย ว่าแต่เขียนมันมือไปหน่อย ยาว 😅

nickuntitled.com/2024/01/26/13-…
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Data Science Dojo(@DataScienceDojo) 's Twitter Profile Photo

Data pipelines make it easier to analyze and understand large amounts of data. Learn how data pipelines automate many of the steps involved in collecting, cleaning, and moving data, saving time and effort.

Read more here: hubs.la/Q02wT7Yk0

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Data Science Dojo(@DataScienceDojo) 's Twitter Profile Photo

Data pipelines make it easier to analyze and understand large amounts of data. They use the insights from the data to make better choices about products, services, and operations.

Read more here: hubs.la/Q02d-rVW0

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Khuyen Tran(@KhuyenTran16) 's Twitter Profile Photo

You should design classes that are open for extension but closed for modification (Open-Closed Principle).

The DataPipeline class is an example of this principle. You can add new strategies without changing the existing pipeline code.

You should design classes that are open for extension but closed for modification (Open-Closed Principle).

The DataPipeline class is an example of this principle. You can add new strategies without changing the existing pipeline code.
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Reza Rad #PowerBI #MicrosoftFabric(@Rad_Reza) 's Twitter Profile Photo

The 4th interview out of 16 Fabric interviews

is with Wee Hyong Tok from the team

We had a chat about the road from into and then into Fabric Data Factory, new features for , and the road ahead.

The 4th interview out of 16 #Microsoft #Fabric #MicrosoftFabric interviews

is with Wee Hyong Tok from the #DataFactory #DataIntegration team

We had a chat about the road from #SSIS into #ADF and then into Fabric Data Factory, new features for #DataPipeline, and the road ahead.
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Data Science Dojo(@DataScienceDojo) 's Twitter Profile Photo

Learn how data pipelines automate many of the steps involved in collecting, cleaning, and moving data, saving time and effort.

Read more here: hubs.la/Q02v3qnz0

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P99CONF(@P99CONF) 's Twitter Profile Photo

Data pipeline bottlenecks can reduce accuracy & quality. Hyperspace's Zamir Paltiel will share how unconventional techniques like clever logging & targeted instrumentation can accurately pinpoint bottlenecks at our free . bit.ly/43RHzlV

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RADACAD #PowerBI #MicrosoftFabric(@RADACAD_COM) 's Twitter Profile Photo

The 4th interview out of 16 Fabric interviews

is with Wee Hyong Tok from the team

We had a chat about the road from into and then into Fabric Data Factory, new features for , and the road ahead.

The 4th interview out of 16 #Microsoft #Fabric #MicrosoftFabric interviews

is with Wee Hyong Tok from the #DataFactory #DataIntegration team

We had a chat about the road from #SSIS into #ADF and then into Fabric Data Factory, new features for #DataPipeline, and the road ahead.
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Abiola David | MSc, Microsoft MVP(@AbiolaDavid01) 's Twitter Profile Photo

and undoubtedly provide a powerful ecosystem for managing, integrating, and analyzing data seamlessly🌟. The screenshot below shows how to ingest data from Lakehouse to my Snowflake data warehouse using scalable

#MicrosoftFabric and #SnowflakeWarehouse undoubtedly provide a powerful ecosystem for managing, integrating, and analyzing data seamlessly🌟. The screenshot below shows how to ingest data from Lakehouse to my Snowflake data warehouse using scalable #datapipeline
#DataEngineering
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Abiola David | MSc, Microsoft MVP(@AbiolaDavid01) 's Twitter Profile Photo

Getting data from on-premises SQL Server to Fabric Lakehouse using is perhaps, not that easy to implement due to data gateway connections issues. After multiple trials, finally enable to figure out how to establish the connection

Getting data from on-premises SQL Server to Fabric Lakehouse using #DataPipeline is perhaps, not that easy to implement due to data gateway connections issues. After multiple trials, finally enable to figure out how to establish the connection

#MicrosoftFabric #SQLServer
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TDWI(@TDWI) 's Twitter Profile Photo

Explore some of the most interesting use cases for generative AI in pipeline development. Read this Digital Dialogue from TDWI. | bit.ly/3TlKKhP

Explore some of the most interesting use cases for generative AI in pipeline development. Read this Digital Dialogue from TDWI. #AI #GenAI #DataPipeline #TDWIResearch | bit.ly/3TlKKhP
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Abiola David | MSc, Microsoft MVP(@AbiolaDavid01) 's Twitter Profile Photo

One of the several capabilities of is that you can ingest millions of records in a table from your on-prem to within few seconds!

In upcoming video and article, I will demonstrate this data engineering process

One of the several capabilities of #Fabric #DataPipeline is that you can ingest millions of records in a table from your on-prem #SQLServer to #AzureBlogStorage within few seconds!

In upcoming video and article, I will demonstrate this data engineering process

#DataEngineering
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