Key Takeaways
- Expert insights on key considerations in building data pipelines from our guest speaker.
- A deep dive into Astera DW Builder’s automated ETL/ELT functionalities with a live product demonstration.
- The critical components to building completely self-regulating data pipelines for your data warehouse.
WEBINAR
Futureproof your Data Warehouse with Self-Regulating Data Pipelines
About the webinar
Behind every effective data warehouse lies a network of well-maintained data pipelines delivering high-quality data to fuel BI & analytics initiatives. A whole new world of advanced analytics opens up when your data pipelines are built correctly, from accurate predictive analytics to real-time data dashboards and more.
To build such an architecture, you need experienced technical resources to engineer the extraction, transformation, mapping, and loading of enterprise data into your data warehouse. Each individual pipeline will also require ongoing updates and maintenance as your BI requirements change.
Over the course of this recorded webinar, the panel discussed the most important elements for building a truly automated data pipeline. From connecting to source systems to ideal data latencies, process orchestration, and job monitoring functionalities. The webinar ended with a Q&A session to answer any questions attendees may have had on data pipeline automation.
Paul Kellett, BI Practitioner @ KIS Ltd
Paul is a BI Practitioner and Consultant at KIS ltd and has helped countless organizations design and implement their BI architectures. With 25 years of experience under his belt, few can match his credentials in the data warehousing area.
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Authors:
Muhammad Umer
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