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Databook: Turning Big Data into Knowledge with Metadata at Uber

Uber Engineering

From driver and rider locations and destinations, to restaurant orders and payment transactions, every interaction on Uber’s transportation platform is driven by data.

Metadata 110
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How Netflix uses eBPF flow logs at scale for network insight

Netflix Tech

The sidecar has been implemented by leveraging the highly performant eBPF along with carefully chosen transport protocols to consume less than 1% of CPU and memory on any instance in our fleet. The choice of transport protocols like GRPC, HTTPS & UDP is runtime dependent on characteristics of the instance placement.

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The Importance of Distributed Tracing for Apache-Kafka-Based Applications

Confluent

how long it takes to execute an operation) and additional metadata like annotations and tags. For the translation service to correlate its spans with the caller service traces, it receives tracing metadata via context propagation (i.e., reading metadata injected into HTTP headers). Let’s imagine a “Hello, World!”

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Building a Data Platform in 2024

Towards Data Science

The Platform Integration Data Store Transformation Orchestration Presentation Transportation Observability Closing What’s changed? The future of the transportation layer seems destined to intersect with APIs, creating a scenario where API endpoints generated via SQL queries become as common as exporting .csv

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Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and…

Netflix Tech

In this model, we scan system logs and metadata generated by various compute engines to collect corresponding lineage data. In addition, we derive lineage information from scheduled ETL jobs by extracting workflow definitions and runtime metadata using Meson scheduler APIs. push or pull.

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Zero Downtime Upgrades – Redefining Your Platform Upgrade Experience

Cloudera

People need to get to work, go to the doctor, and get groceries, and it’s up to their local transportation department to ensure they make it to their destinations reliably. Similarly, transportation agencies reduce downtime through innovations like automatic inflating tire systems; so it’s about time we innovate too.

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ThoughtSpot Sage: data security with large language models

ThoughtSpot

This multi-tenant service isolates the tenant metadata index, authorizing and filtering the search answer requests from every tenant. All communication across tenant-specific compute instances, the common services, and external interaction with your cloud data warehouse are secured over the transport layer security (TLS) channel.