Apache Spark Reviews

JsonAPI Reviews

Apache Spark mentions (56)

• Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy

  Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉. - Source: dev.to / 3 months ago

• 🦿🛴Smarcity garbage reporting automation w/ ollama

  Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 4 months ago

• Go concurrency simplified. Part 4: Post office as a data pipeline

  Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 5 months ago

• Five Apache projects you probably didn't know about

  Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 6 months ago

• Spark – A micro framework for creating web applications in Kotlin and Java

  A JVM based framework named "Spark", when https://spark.apache.org exists? - Source: Hacker News / 12 months ago

JsonAPI mentions (46)

• REST API: Best practices and design

  There is a group of people who set out to standardize JSON responses into a single response style, either for returning single or multiple resources. You can take their style as a reference when designing their API to ensure uniformity of responses. - Source: dev.to / 18 days ago

• Path To A Clean(er) React Architecture - Domain Entities & DTOs

  The server seems to be using the popular JSON:API standard which is a great way to build APIs. But should we really use these data structures in the frontend? - Source: dev.to / 7 days ago

• Path To A Clean(er) React Architecture - API Layer & Data Transformations

  Note: You think the response data structure with the data field and the included field with mixed data types looks weird? You might not have encountered the popular JSON:API standard yet. - Source: dev.to / 23 days ago

• Hatchify: The Fastest Way to Build JSON: APIs

  In addition to saving you time on boilerplate, the API provided by Hatchify fully implements the JSON: API specification, which stipulates solid standards to define the peculiarities of CRUD REST APIs. Get back all the time spent bike-shedding how to implement standard API features like filtering, pagination, including related data, etc. JSON: API offers consistent practices for frontend and backend developers to... - Source: dev.to / 2 months ago

• Show HN: Sunnybox – An Email API for Effortless IMAP Integration

  -JSON:API format responses (https://jsonapi.org) for better standardization. Built using Ruby on Rails, Sunnybox is designed to offer a powerful yet easy-to-use solution for developers managing email systems. I'd really appreciate your feedback on: - The API's user-friendliness and efficiency. - Source: Hacker News / 5 months ago