Best of Big Data — 2023

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   Article

   habr·3y

   ChatGPT to Help You Become a 10x Programmer

   ChatGPT to Help You Become a 10x Programmer. I believe that every programmer has at least once heard about ChatGPT and its marvelous abilities to process, calculate and create huge amounts of data. If you don't know how to write an IP changer using Python, you simply query the AI and it generetes pretty good code.

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   Article

   JavaScript in Plain English·3y

   GraphQL is Finally Boring

   GraphQL has become a mature and reliable tool that is solving real-world problems and becoming mainstream. It is being used in organizations like Shopify and allows for API composition and federating data dependencies. GraphQL's future lies in its ability to stitch together various APIs and data sources, providing a shared data pool without compromising team autonomy and data governance.

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3. 3
   Article

   Hacker News·3y

   Big Data is Dead

   The era of Big Data is over, as data size is not the main problem in gaining actionable insights. Traditional data management systems are growing strongly and the separation of storage and compute in cloud data platforms is a significant change.

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   Article

   Quastor Daily·3y

   How Airbnb Built a Low Latency, Highly Scalable Key Value Store

   Airbnb built a highly scalable key value store that they could use to serve data for their ML applications. The Architecture of Airbnb’s Distributed Key Value Store was sponsored by Spotify. We talk about building a culture around automated testing and strategies Spotify uses for large scale migrations.

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   Article

   DEV·3y

   NoSQL Databases vs Graph Databases: Which one should you use?

   A comparison between NoSQL databases and graph databases, discussing their differences, use cases, and how they work.

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   Article

   Better Programming·3y

   Building a Distributed MapReduce System in Go

   Building a Distributed MapReduce System in Go would allow application developers to use it for building Map Reduce applications. The paper was authored by two engineers from Google, Jeff Dean and Sanjaya Ghemawat. The main purpose here is to learn about distributed systems by actually building one.

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