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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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The Dawn of the AI-Native Data Stack - Part 1

Data Engineering Weekly

This centralized model mirrors early monolithic data warehouse systems like Teradata, Oracle Exadata, and IBM Netezza. These systems provided centralized data storage and processing at the cost of agility. This approach offered economies of scale but was inherently rigid, inflexible, and vulnerable to disruptions.

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Top 7 Mobile Security Threats and Prevention

Edureka

Device Theft and Data Breach Risks Mobile devices are small and portable, making them an attractive target for thieves. While stealing a desktop computer in an office might be difficult, a smartphone can be easily snatched from a crowded restaurant or public transport.

Banking 52
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Graph Databases In Production At Scale Using DGraph with Manish Jain - Episode 44

Data Engineering Podcast

There are a few ways that graph structures and properties can be implemented, including the ability to store data in the vertices connecting nodes and the structures that can be contained within the nodes themselves. How does the query interface and data storage in DGraph differ from other options?

Database 100
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How to learn data engineering

Christophe Blefari

formats — This is a huge part of data engineering. Picking the right format for your data storage. The cherry on the cake here is the Slowly Changing Dimensions — SCDs — concept. Wrong format often means bad querying performance and user-experience.

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Building Netflix’s Distributed Tracing Infrastructure

Netflix Tech

Stream Processing: to sample or not to sample trace data? This was the most important question we considered when building our infrastructure because data sampling policy dictates the amount of traces that are recorded, transported, and stored. Mantis is our go-to platform for processing operational data at Netflix.

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Data Impact Award Spotlight and Update on 2020’s Industry Transformation Winner: Telkomsel

Cloudera

With more than 25TB of data ingested from over 200 different sources, Telkomsel recognized that to best serve its customers it had to get to grips with its data. . Its initial step in the pursuit of a digital-first strategy saw it turn to Cloudera for a more agile and cost-effective data storage infrastructure.