Making sense of all your input data isn't fun, especially when you're consuming inputs from 10s to 1000s of data sources daily.
If your data teams are orchestrating massive amounts of data, across multiple data pipelines, it's nearly impossible to feel confident in the data quality within your data warehouse.
Instead of retroactive data monitoring, it's time for more of a proactive approach to ensure better data quality.
Join this session to learn:
• How data observability can provide data quality monitoring for your warehouse
• How to use SQL for data quality checks and alert on table freshness
• Live demo of IBM Databand providing end-to-end incident visibility for data in transit (data pipeline quality) and data at rest (data warehouse quality)
You won't want to miss this Webcast session on April, 19th, 2023 @ 11 AM (EDT).
Register Now ➡️ https://ibm.biz/19thApril2023
#dataengineer #DataManagement #DataOps #DataandAILearning #bigdata #bigdataanalytics #DataWarehouse #livedemonstration
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Eitan Chazbani
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