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Catching up with OpenTelemetry in 2025

Dynatrace

To understand whats happening in todays complex software ecosystems, you need comprehensive telemetry data to make it all observable. With so many types of technologies in software stacks around the globe, OpenTelemetry has emerged as the de facto standard for gathering telemetry data. But, generating telemetry data is the easy part.

Tuning 310
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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

The Netflix TechBlog

by David Berg , Ravi Kiran Chirravuri , Romain Cledat , Savin Goyal , Ferras Hamad , Ville Tuulos tl;dr Metaflow is now open-source! Netflix applies data science to hundreds of use cases across the company, including optimizing content delivery and video encoding. How could we improve the quality of life for data scientists?

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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

It can scale towards a multi-petabyte level data workload without a single issue, and it allows access to a cluster of powerful servers that will work together within a single SQL interface where you can view all of the data. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes.

Big Data 321
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What is? OpenTelemetry??An open-source standard for logs, metrics, and traces

Dynatrace

These are just a few of the open-source technologies you may encounter as you research observability solutions for managing complex multicloud IT environments and the services that run on them. Of these open-source observability tools, one stands out. Source: OpenTelemetry Documentation. What is telemetry data?

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Bring syslog into Dynatrace using OpenTelemetry to get open source value with enterprise support

Dynatrace

For example, a supported syslog component must support the masking of sensitive data at capture to avoid transmitting personally identifiable information or other confidential data over the network. Log batching, enrichment, transformation, log source distinction, and application offloading are also regular requirements.

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Cutting Big Data Costs: Effective Data Processing With Apache Spark

DZone

In today's data-driven world, efficient data processing plays a pivotal role in the success of any project. Apache Spark , a robust open-source data processing framework, has emerged as a game-changer in this domain.

Big Data 279
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Part 1: A Survey of Analytics Engineering Work at Netflix

The Netflix TechBlog

Metric definitions are often scattered across various databases, documentation sites, and code repositories, making it difficult for analysts and data scientists to find reliable information quickly. DJ stands out as an open source solution that is actively developed and stress-tested at Netflix.

Analytics 212