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Apache ParquetNo Apache Parquet videos yet. You could help us improve this page by suggesting one.
Based on our record, Ghost should be more popular than Apache Parquet. It has been mentiond 196 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Digital production has lowered the cost, and the Ghost platform in particular is a great value for small publishers, bundling together the blog, newsletter and subscriptions in one package, even now including ActivityPub federation. And Ghost themselves a non-profit org that doesn't mark up the Stripe transaction fees! One local news outlet recently switched to that, saving about %5 on Patreon fees and a second is... - Source: Hacker News / 6 months ago
Https://ghost.org โ Open-source run by a non-profit headquartered in Singapore. - Source: Hacker News / 7 months ago
If you're hell-bent on headless, I can personally recommend 11ty (https://www.11ty.dev/) and hugo (https://gohugo.io/). That said, for non-technical admins, you probably want a user interface. For that, Ghost (https://ghost.org/) and Grav (https://getgrav.org/). Or Wordpress! - Source: Hacker News / 11 months ago
They should provide an option to move to https://ghost.org/. - Source: Hacker News / 11 months ago
In this post, I'll show you how to build an agent with sufficient contextual understanding of underlying analytics data - and the tools to query it - so that you can have a chat with your data (any data!). Specifically, I'll build a simple analytics agent for a blog - hosted on the open-source publishing platform Ghost. The agent will tell us which content is performing the best, and why. - Source: dev.to / 12 months ago
Apache Iceberg fits these requirements well. Iceberg stores data as immutable Apache Parquet files and adds them through atomic commits, so readers always see a consistent snapshot. A separate metadata layer prunes files by their statistics before the data itself is ever read, and those statistics can be extended to match an observability filtering profile. - Source: dev.to / 26 days ago
Depends on the domain. There's a bunch of sciences using large datasets served up efficiently using static file formats, e.g., https://zarr.dev/ and https://parquet.apache.org/. - Source: Hacker News / about 2 months ago
The data files themselves are still standard Parquet or ORC. The table format adds a metadata layer on top that gives those files the properties of a database table. - Source: dev.to / 3 months ago
The dataset is huge - in parquet conversion - it is total 9gb. And in raw PNG image nested folders - it is 67 gigabytes. Huge... - Source: dev.to / 4 months ago
The solution is to standardize on columnar formats like Apache Parquet. Parquet stores data in columns, not rows, which immediately enables column pruning. If a query is SELECT avg(price) FROM sales, the engine reads only the price column and ignores all others. This can reduce storage footprints by up to 75% compared to raw formats and is a cornerstone of modern analytics performance. - Source: dev.to / 9 months ago
WordPress - WordPress is web software you can use to create a beautiful website or blog. We like to say that WordPress is both free and priceless at the same time.
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Medium - Welcome to Medium, a place to read, write, and interact with the stories that matter most to you.
Apache Arrow - Apache Arrow is a cross-language development platform for in-memory data.
Drupal - Drupal - the leading open-source CMS for ambitious digital experiences that reach your audience across multiple channels. Because we all have different needs, Drupal allows you to create a unique space in a world of cookie-cutter solutions.
Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.