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Conference-style technical presentation describing the architecture and implementation of a large-scale data platform observability system at Nubank based on Apache Spark metrics aggregation and Apache Pinot analytical storage.
Organization: Nubank
Author: Felipe
Position of author: Senior Analytics Engineer
Topic: Data platform observability and analytics infrastructure
Technologies mentioned: Apache Spark, Apache Pinot, Kafka
Document type: Conference presentation transcript
Industry: Financial technology
Scale of data platform: Over 100,000,000 customers and more than 300,000 datasets
Processing model: Daily batch ETL and distributed data processing
Key concepts: Spark observability, distributed processing metrics, data democratization, ETL monitoring
Infrastructure components: Spark jobs, internal data platform services, Kafka messaging, analytical database for metrics
Data volume: Petabytes of data processed daily
Purpose: Monitoring and analysis of Spark job execution metrics and ETL platform performance
Price: 8 / 10 USD
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Advanced Administering Environments with IBM Instana Observability
Year: 2026
Region / city: Global
Topic: IBM Instana, Observability, Host Agent Installation, Web Monitoring
Document Type: Course Description
Organization: IBM
Author: IBM Training
Target Audience: IT professionals, System administrators
Period of validity: Ongoing
Approval Date: N/A
Modification Date: N/A
The Observability Bias: A Crisis in Instructional Leadership
Year: 2023
Author: Justin Baeder
Institution: The Principal Center
Target Audience: Educational administrators, instructional leaders
Document Type: Article
Topic: Observability bias in teaching practice
Region/City: United States
Period of Application: Ongoing
Date of Approval: N/A
Date of Changes: N/A
Pseudo-CR TR 28.882 Add use case on energy-aware FL training process observability
Year: 2026
Region / City: Goa, India
Subject: Energy-aware Federated Learning Training Process
Document Type: Technical Report
Organization: 3GPP
Author: Ericsson
Target Audience: Operators, AI/ML developers, Federated Learning participants
Approval Date: 09 February 2026
Agenda Item: 6.20.2
Spec: 3GPP TR 28.882
Version: 0.2.0
Work Item: FS_AIML_MGT_Ph3
Context Description: Technical report addressing a new use case for energy-aware Federated Learning (FL) in ML training, outlining changes in AI/ML sustainability and system requirements.
Topics: Nubank Pinot Observability