Databand.ai

?? Databand Feature Spotlight: Custom API ?? Databand already provides out-of-the-box integrations with popular tools like Apache Airflow, Apache Spark, Azure Data Factory, dbt, IBM DataStage, and many more. However, Databand also provides custom API integration to connect with your chosen orchestration or data integration tool. This feature offers greater freedom in choosing how to track your data to achieve more complete observability of your data platform. Are you thinking about up-leveling your data quality with data observability? Sign up for a free trial today. ?

?? Customer Story: IBM Chief Data Office ?? With IBM Databand, the IBM CDO team has significantly reduced time spent on routine tasks: ? 90% less time on daily health reports ? 93% less time creating reports for all data objects ? 80% less time viewing failure trends ? 85% less time on manual monitoring and troubleshooting This time savings allows data engineers to focus more on integrating new data sources and driving strategic advantage for IBM. Want to learn how we freed up our team's potential? Read the complete case study today. https://lnkd.in/egEV5MnE

?? Databand Feature Spotlight: Run overview?? Run overview?lets you see all metadata collected for a single pipeline run. Tracking metadata and logs from task executors in one place allows you to access error information quickly, compare data and code change trends, and identify the underlying problem. Are you thinking about up-leveling your data quality with data observability? Sign up for a free trial today. ?

How does data observability ensure your data lakehouse is reliable and consistent? 1?? Data quality alerts: Automate alerts to detect null values, duplicates, unexpected spikes, data drift, and other anomalies. 2??Holistic data monitoring: Centralize and manage data monitoring, alerting, and quality assurance while providing insights into system operations. You can watch the video and learn about our latest connector, IBM watsonx.data — the industry’s most powerful hybrid, open data lakehouse. https://lnkd.in/edDVuBhq

Are you struggling with constant breaks in your data pipelines? Is your team spending more time fixing issues than driving impactful work? Join us?TOMORROW, March 6th, @ 11 am EST?for a webinar focused on data observability! Tune in to understand how data observability can help improve your productivity with real-world use cases. The IBM Databand product team will showcase live demos and product updates and hold a Q&A session to answer all your questions. ??? See you there:?https://ibm.biz/BdGVez

Last change to sign up for our webinar series on?March 4th, 5th & 6th @ 11am EST?to learn about leading data integration styles and their use cases. Tune in as our team shares live demos, new product features, and an exclusive sneak peak into our roadmap.! Don’t miss out – register now:?https://ibm.biz/BdGVej

??? Interested in building BETTER data pipelines EASIER and FASTER? Join us for a webinar series on?March 4th, 5th & 6th @ 11am EST?to learn about leading data integration styles and their use cases. Tune in as our team shares live demos, new product features, and an exclusive sneak peak into our roadmap. Expect to learn about: ?? Streaming data integration for better decision making ?? The value of modernized ETL/ELT pipelines ?? How to build resilient data pipelines with observability Don’t miss out – register now:?https://ibm.biz/BdGVej

Watch Marcela Vairo and Ravit Jain discuss data quality and observability with Databand.ai. Marcela covered some exciting topics related to data quality, data observability, and IBM’s latest innovations in Data and AI. Marcela shared insights from her recent roundtable discussion at the event and highlighted how IBM’s partnership with AWS is creating new opportunities for businesses leveraging cloud-based data solutions. https://lnkd.in/eqBXTZiD

???Blackboard session: What are the benefits and ROI of data observability? Let me ask you this: Have you considered how much your organization spends on the hours lost due to unreliable data and the difficulty in accurately identifying data quality issues? How does this problematic data impact your machine learning and AI projects? In this video, Megan Grant discusses data observability's specific benefits and ROI and how it can impact data producers and consumers. https://lnkd.in/esJzCuuA

??Analyst: 2024 Gartner? Magic Quadrant? for Data Integration Tools?? Are data silos slowing you down? We’ve got you covered. IBM has been named a Leader in the 2024 Gartner? Magic Quadrant? for Data Integration Tools for the 19th consecutive year. IBM Data Integration provides an integrated set of capabilities (including data observability by Databand.ai) that are built on a hybrid cloud framework to break down data silos and manage data pipelines across all sources, formats, and integration patterns. Don't miss the latest industry insights for data integration. Download the report today. https://lnkd.in/eEu_G8sW