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Understanding gRPC Concepts, Use Cases, and Best Practices

DZone

This leads to an increase in the size of data as well. Big data is generated and transported using various mediums in single requests. With the increase in the size of data, we have activities like serializing, deserializing, and transportation costs added to it. We need to cut down on transportation.

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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.

Big Data 110
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Uber’s Big Data Platform: 100+ Petabytes with Minute Latency

Uber Engineering

Uber is committed to delivering safer and more reliable transportation across our global markets.

Big Data 109
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How Netflix uses eBPF flow logs at scale for network insight

The Netflix TechBlog

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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Kubernetes in the wild report 2023

Dynatrace

Big data : To store, search, and analyze large datasets, 32% of organizations use Elasticsearch. The data covers the period of January 2021 through September 2022. The report only includes production data from Dynatrace customers and excludes all Kubernetes clusters Dynatrace uses internally or for hosting SaaS offerings.

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Delta: A Data Synchronization and Enrichment Platform

The Netflix TechBlog

Data Pipeline using Delta In the following sections, we are going to describe the Delta-Connector that connects to a datastore and publishes CDC events to the Transport Layer, which is a real-time data transportation infrastructure routing CDC events to Kafka topics. In addition, we support Cassandra (multi-master).

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Data Pipelines: The Hammer for Every Nail

Abhishek Tiwari

In the era of big data and complex data processing, data pipelines have emerged as a popular solution for managing and manipulating data. They provide a systematic approach to extract, transform, and load (ETL) data from various sources, enabling organizations to derive valuable insights.