Remove Accessible Remove Events Remove Relational Database
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Internet of Things (IoT) and Event Streaming at Scale with Apache Kafka and MQTT

Confluent

Use cases for IoT technologies and an event streaming platform. For instance, one application might already send data to an MQTT broker so that you can consume from there while another project does not use an MQTT broker at all, and you just want to push the data into the event streaming platform directly for further processing.

Kafka 20
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Every Company is Becoming a Software Company

Confluent

What’s forgotten is that the rise of this paradigm was driven by a particular type of human-facing application in which a user looks at a UI and initiates actions that are translated into database queries. Because databases don’t model the flow of data, the interconnection between systems in a company is a giant mess. What is an event?

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Building Pinterest’s new wide column database using RocksDB

Pinterest Engineering

While a simple key value database can be viewed as a persistent hash map, a wide column database can be interpreted as a two dimensional key-value store with a flexible columnar structure. The key difference compared to a relational database is that the columns can vary from row to row, without a fixed schema.

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An Overview of Real Time Data Warehousing on Cloudera

Cloudera

Ingest 100s of TB of network event data per day . real-time customer event data alongside CRM data; network sensor data alongside marketing campaign management data). Several billion ad impression events per day are streamed in and stored. Optimized access to both full fidelity raw data and aggregations.

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Reflections On Designing A Data Platform From Scratch

Data Engineering Podcast

If you’re a data engineering podcast listener, you get credits worth $3000 on an annual subscription TimescaleDB, from your friends at Timescale, is the leading open-source relational database with support for time-series data. Time-series data is relentless and requires a database like TimescaleDB with speed and petabyte-scale.

Designing 100
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Index Your Big Data With Pilosa For Faster Analytics

Data Engineering Podcast

To make it easier for startups to focus on delivering useful features Segment offers a flexible and reliable data infrastructure for your customer analytics and custom events. What are some approaches to modeling data that might be coming from a relational database or some structured flat files?

Big Data 100
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Unpacking Fauna: A Global Scale Cloud Native Database

Data Engineering Podcast

To make it easier for startups to focus on delivering useful features Segment offers a flexible and reliable data infrastructure for your customer analytics and custom events. Understanding how your customers are using your product is critical for businesses of any size.

Database 100