Monitoring
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Databricks logs collection with Azure Monitor at a Workspace Scale
Categories: Cloud Computing, Data Engineering, Adaltas Summit 2021 | Tags: Metrics, Monitoring, Spark, Azure, Databricks, Log4j
Databricks is an optimized data analytics platform based on Apache Spark. Monitoring Databricks plateform is crucial to ensure data quality, job performance, and security issues by limiting access to…
By Claire PLAYE
May 10, 2022
Internship in Data Engineering
Categories: Front End, Learning | Tags: Metrics, Monitoring, Hive, Kafka, Delta Lake, Elasticsearch, IaC, Internship, Kubernetes, Streaming
Job Description Data is a valuable business asset. Some call it the new oil. The data engineer collects, transform and refine raw data into information that can be used by business analysts and data…
By David WORMS
Oct 25, 2021
Machine Learning model deployment
Categories: Big Data, Data Engineering, Data Science, DevOps & SRE | Tags: DevOps, Operation, AI, Cloud, Machine Learning, MLOps, On-premises, Schema
“Enterprise Machine Learning requires looking at the big picture […] from a data engineering and a data platform perspective,” lectured Justin Norman during the talk on the deployment of Machine…
Sep 30, 2019
HDP cluster monitoring
Categories: Big Data, DevOps & SRE, Infrastructure | Tags: Alert, Ambari, Metrics, Monitoring, HDP, REST
With the current growth of BigData technologies, more and more companies are building their own clusters in hope to get some value of their data. One main concern while building these infrastructures…
Jul 5, 2017
OS module on steroids with the SIGAR Node binding
Categories: Node.js | Tags: C++, CPU, File system, Metrics, Monitoring, Network
Today we are announcing the first release of the Node binding to the SIGAR library. Visit the project website or the source code repository on GitHub. SIGAR is a cross platform interface for gathering…
By David WORMS
Jan 11, 2012
