[Overview] Episode 4: Building a Scalable ETL/Data pipeline on Google Cloud
In this session you will learn how to build several #DataPipelines that ingest data from a publicly available dataset into #BigQuery, ... source
https://quadexcel.com/wp/overview-episode-4-building-a-scalable-etl-data-pipeline-on-google-cloud/
Troubleshooting Airflow SQL Server Errors: A Case Study of System Task Initialization Failure
Troubleshoot frustrating Airflow SQL Server errors! This post helps diagnose & fix system task initialization failures and other connection issues. Learn to build robust data pipelines. #AirflowSQLServerErrors #DataEngineering #SQLServer #ApacheAirflow #DatabaseConnection #DataPipelines
https://tech-champion.com/database/sql-server/troubleshooting-airflow-sql-server-errors-a-case-study-of-system-tas...
Shifting Left isn’t just a buzzword - it’s the foundation for efficiency in your organization!
By making clean, reliable, and accessible data available across your organization, you reduce complexity and unlock time to focus on higher-value work.
💡 Data products are the foundation of this #ShiftLeft, enabling healthy, scalable data communication.
📖 Dive into the details in the #InfoQ article: https://bit.ly/3WHjxsf
#SoftwareArchitecture #DataMesh #DataLake #DataPipelines #ETL
Troubleshooting Airflow SQL Server Errors: A Case Study of System Task Initialization Failure
Troubleshoot frustrating Airflow SQL Server errors! This post helps diagnose & fix system task initialization failures and other connection issues. Learn to build robust data pipelines. #AirflowSQLServerErrors #DataEngineering #SQLServer #ApacheAirflow #DatabaseConnection #DataPipelines
https://tech-champion.com/database/sql-server/troubleshooting-airflow-sql-server-errors-a-case-study-of-system-tas...
✅ Just finished Module 2 of the #DataEngineering Zoomcamp!
I’ve built workflow automation with Kestra and learned how to schedule and monitor jobs.
Loving the simplicity of its declarative approach!
#Kestra #Orchestration #DataPipelines #DataTalksClub #Zoomcamp
💡 Exploring Kestra in the Zoomcamp!
Its YAML-based workflows make automation intuitive and scalable.
I just scheduled my first data pipeline—this tool is promising!
#Kestra #WorkflowOrchestration #DataPipelines #DataTalksClub #zoomcamp
🚀 I’ve just started Module 2 - Workflow Orchestration in the #DataEngineering Zoomcamp!
This week is all about Kestra, a modern workflow orchestrator.
Looking forward to automating data pipelines with it! 🔥
#Kestra #DataPipelines #DataEngineering #DataTalksClub #zoomcamp
Atlassian introduced Lithium - an in-house #ETL platform designed to meet the requirements of dynamic data movement.
Lithium simplifies cloud migrations, scheduled backups, and in-flight data validations with ephemeral pipelines and tenant-level isolation - ensuring efficiency, scalability & cost savings.
📢 InfoQ spoke with Niraj Mishra, Principal Engineer at Atlassian, about Lithium’s implementation and future.
🔗 Read more here: https://bit.ly/415RPYZ
#DataPipelines #KafkaStreams #ApacheKafka #ApacheFlink #SoftwareArchitecture
A #ShiftLeft approach to #DataProcessing relies on data products, which form the basis of data communication across the business.
This addresses many flaws in traditional data processing and makes data more relevant, complete, and trustworthy.
#InfoQ article: https://bit.ly/3WHjxsf
#SoftwareArchitecture #DataMesh #DataLake #DataPipelines #ETL
HIRING: Senior Data Scientist / Remote (anywhere in the U.S.)
💰 USD 120K+
#ComputerScience #Dagster #Datapipelines #Datavisualization #dbt #Economics #Engineering #Git #MachineLearning #Mathematics
HIRING: Data Engineer / Remote (anywhere in the U.S.)
💰 USD 100K+
#Airflow #AWS #CICD #ComputerScience #Dagster #Datapipelines #dbt #Docker #ELT #Engineering
HIRING: Senior Data Scientist / Remote (anywhere in the U.S.)
💰 USD 120K+
#ComputerScience #Dagster #Datapipelines #Datavisualization #dbt #Economics #Engineering #Git #MachineLearning #Mathematics
HIRING: Data Engineer / Remote (anywhere in the U.S.)
💰 USD 100K+
#Airflow #AWS #CICD #ComputerScience #Dagster #Datapipelines #dbt #Docker #ELT #Engineering
Common Pitfalls in Building Data Pipelines: Avoid These Mistakes! #DataPipelines #DataEngineering
In this video, we'll discuss some common pitfalls that many people encounter when building data pipelines. Avoiding these ... source
In the pipeline: July 2024 edition! 🔶
This month we review the latest releases across the Kedro ecosystem, celebrate the PyData London workshop delivered by two TSC members, and much more.
Will you be at EuroPython in Prague next week? Don't miss Juan Luis' workshop about MLOps! (And follow @europython)
Full blog post:
https://kedro.org/blog/in-the-pipeline-kedro-news-07-24
#kedro #python #pydata #datascience #mlops #kedroviz #datapipelines #europython #EuroPython2024
In the pipeline: May 2024 edition! 🔶
This month we published several releases across the Kedro ecosystem, got featured in O'Reilly's new book "Software Engineering for Data Scientists", published more videos in our YouTube channel, and got accepted at several Python conferences.
Are you at @pycon? Don't miss Juliana Ferreira's talk about Kedro!
Full blog post:
https://kedro.org/blog/in-the-pipeline-kedro-news-05-24
#kedro #python #pydata #datascience #mlops #kedroviz #datapipelines
#CaseStudy - Discover how #Yelp reworked its data streaming architecture with #ApacheBeam & #ApacheFlink!
The company replaced a fragmented set of data pipelines for streaming transactional data into its analytical systems, like Amazon Redshift and in-house data lake, using Apache data streaming projects to create a unified and flexible solution.
Dive into the details: https://bit.ly/3WgkTL7
#InfoQ #SoftwareArchitecture #EventDrivenArchitecture #DataPipelines #Streaming
New Ventana Research Analyst Perspective: Data Pipelines Integrate Data Processing and Enable AI
https://mattaslett.ventanaresearch.com/data-pipelines-integrate-data-processing-and-enable-ai
The development, testing and deployment of #datapipelines is a fundamental accelerator of data-driven strategies
We have added another entry to the #dataengineering glossary:
Distributed systems let data engineers process data at scale but also introduce a raft of new complexities and considerations.
Linearizability ensures that operations maintain a logical order of execution.
Learn more with a Python example here:
https://dagster.io/glossary/linearizability
It's been interesting watching many larger enterprises build DSLs—Domain Specific Languages—on top of their orchestration solution. By implementing DSLs, data teams can open their data platform to many more users without compromizing on standards.
We wrote this up in a blog post to share the insights and approaches.
https://dagster.io/blog/scale-and-standardize-data-pipelines-with-dsl
