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Data Ingestion

Data Ingestion Monitoring and Alerts

Data Ingestion is a complex process that requires monitoring multiple data pipelines and instant access to information about their processing status. This is why each data lake ingestion platform should provide a consistent view of the ingestion activities and underlying infrastructure health.
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How to monitor and manage data ingestion effectively?

To maintain a consistent state of data lake, it is crucial to understand data pipeline lineage and identify potential data problems from source to target. Since data comes from multiple data sources at different times and speeds, it is also essential to establish a solid monitoring system that gives a high-level overview of ingestion status and can drill down into possible data problems. Monitoring should focus on data ingestion pipelines, underlying infrastructure, and resource consumption. Moreover, in case of issues encountered, there should be an alert system that will send information about data issues to the support team and notify end users of possible disruptions.

Full overview on ingestion status

Platform support team should have a high level overview about status of ingestion and infrastructure health. Efficient monitoring dashboard should allow option to drill down into component breaking ingestion pipeline.

Automatic notifications

Sending fast and accurate notification about data problem is crucial. Platform support teams should receive alerts about failing pipelines or existing and upcoming infrastructure problems. Data stakeholders should be informed as soon as possible about possible data delays.

Streamline Data Lake ingestion monitoring

Ensure a consistent view of ingestion activities and infrastructure health with robust monitoring systems, enabling quick identification and resolution of data issues.

Enhance data pipeline transparency

Implement comprehensive monitoring and alert systems to track data pipeline lineage and resource consumption, ensuring data integrity and timely problem resolution.

Complex data ingestion pipelines put a lot of pressure on platform support teams to monitor the status of data processing and underlying infrastructure. Support and DevOps engineers need accurate information about the status of each data pipeline and, in case of failures, quick and efficient tools to troubleshoot the problem. At C&F, we take a holistic approach to deliver efficient data ingestion processing and a single point of monitoring for data and infrastructure problems. Our ingestion platforms provide UI views where it is possible to check each data flow status and drill down to specific service logs in case of failures. Since we support our clients, we ensure that our platform teams have access to dashboards that provide transparent information about data pipeline execution status and infrastructure health. This enables them to quickly react to data problems and inform end-users about potential data issues. DevOps engineers also have access to this monitoring, which allows them to proactively check the state of services running in the cloud and resource consumption. Thanks to the effort we put into setting up these monitoring and alert systems, we can minimize the problems related to infrastructure availability and ensure that end users get fast and accurate information through notifications about possible data ingestion problems. All these activities have contributed so far to high level of confidence among data lake stakeholders and new data being onboarded.

Data pipelines, often complex with multiple data sources and layers, can be susceptible to even minor issues impacting downstream systems and users. Our solutions prioritize efficient monitoring for rapid issue detection and impact assessment to address this. Integrated alerting informs all stakeholders, facilitates inter-team communication, and accelerates resolution.

Overview

Ingesting data is a complex process with data coming from multiple data sources at different times and speeds. To maintain high-quality data, monitoring the data ingestion process is essential.  Our Data Ingestion Monitoring and Alerts solutions focus on the data ingestion pipeline, underlying infrastructure, and resource consumption, providing a full overview of ingestion status and automatic notifications when problems are identified. By tracking incoming data, performing data quality checks, and promoting smooth data flows from raw data to data lakes, our monitoring systems can alert support teams and end users of any issues, ensuring timely resolution and minimal disruption.

Experts in the field

Daniel Rogala
Senior Solutions Architect
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Michał Majkowski
Principal Software Architect
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