Based on our record, Google BigQuery should be more popular than Ceph. It has been mentiond 35 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.
Using the Galaxy UI, knowledge workers can systematically review the best results from all configured services including Apache Solr, ChatGPT, Elastic, OpenSearch, PostgreSQL, Google BigQuery, plus generic HTTP/GET/POST with configurations for premium services like Google's Programmable Search Engine, Miro and Northern Light Research. - Source: dev.to / 10 months ago
Data Transformations: This phase involves modifying and integrating tables to generate new tables optimized for analytical use. Consider this example: you want to understand the purchasing behavior of customers aged between 20-30 in your online shop. This means you'll need to join product, customer, and transaction data to create a unified table for analytics. These data preparation tasks (e.g., joining... - Source: dev.to / 10 months ago
Introduction In today's data-driven world, transforming raw data into valuable insights is crucial. This process, however, often involves complex tasks that demand efficiency, scalability, and reliability. Enter dbt Cloud—a powerful tool that simplifies data transformations on Google BigQuery. In this article, we'll take you through a step-by-step guide on how to run BigQuery transformations using dbt Cloud.... - Source: dev.to / 11 months ago
You'll want to evaluate what BigQuery has to offer and see if it makes sense for you to move over. Source: 12 months ago
Watch the introductory videos on BigQuery on the Google Cloud Platform website (https://cloud.google.com/bigquery). Source: 12 months ago
Ceph stands out in storage technology, offering a scalable and reliable solution where traditional systems fall short. It supports object, block, and file storage in one system, adaptable for various environments including on-premises, cloud, or container-native setups. Key benefits include scalability, enabled by the CRUSH algorithm, allowing for expansion without typical downtime. This makes Ceph suitable for... - Source: dev.to / 6 months ago
With that being said, you better take a look at something more WAN optimized and more secure, like S3 storage. You can build the S3 storage (and gain immutability) using something like MinIO (https://min.io/) or Ceph (https://ceph.io/en/) or check out Object First Ootbi offerings - https://objectfirst.com/object-storage/ (I work for them). Source: 11 months ago
I believe Ceph [1] could be a good alternative. It can be self hosted and I believe some cloud providers also offer it. Here are some differences between S3 and Ceph [2]. [1] - https://ceph.io/en/ [2] - https://www.lightbitslabs.com/blog/ceph-storage/. - Source: Hacker News / about 1 year ago
Another option is a distributed Ceph cluster https://ceph.io/en/. Source: almost 2 years ago
There's also cool systems like https://ceph.io/en/ that could be efficient if willing to set up and learn. Source: almost 2 years ago
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
Minio - Minio is an open-source minimal cloud storage server.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
GlusterFS - GlusterFS is a scale-out network-attached storage file system.
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
StorPool - StorPool is designed from the ground up to provide cloud builders, shared hosting providers and MSPs with the most resource efficient storage software on the market.