Linode Reviews

Apache Spark Reviews

Linode mentions (24)

• What is the cheapest VPS Hosting?

  I have an 11 GB VPS with Windows on it, and it’s running perfectly. I 100% recommend this hosting, because of it’s pricing and support. I give $8.25 a month for an 11 GB VPS. Which would cost up to $55 a month on popular hosting providers like, Linode, Vultr, and Digital Ocean. Source: about 3 years ago

• question for any linode users

  Anyone that hosts a server using the cloud provider linode.com Do you encounter any limits regarding the CPU speed? Source: about 3 years ago

• Linux OS

  One of my best recommendations is to spin up a linux server in the cloud, you can do it for free for a few months from linode.com for example. Setting up an online server for a game you like playing can also be a rewarding learning experience for networking and Linux in general. Source: about 3 years ago

• A2, Krystal, 20i, Brixly or Mechanicsweb. Best one for resellers?

  Then you can buy a VPS from linode.com, katapult.io, contabo.com or hetzner.cloud, I'd recommend a 4gb VPS, and in order to run, it has to be over 2gb. For the OS, choose AlmaLinux or a supported version of CentOS. Source: about 3 years ago

• An 'unlimited' web host has been deleting my files without any notice or warning..

  Use VPS, don't use shared web hosting when you generate content as it tends to use lots of resources like RAM, CPU %, and storage. I'd recommend hetzner.com, contabo.com, or linode.com. Source: about 3 years ago

Apache Spark mentions (70)

• Every Database Will Support Iceberg — Here's Why

  Apache Iceberg defines a table format that separates how data is stored from how data is queried. Any engine that implements the Iceberg integration — Spark, Flink, Trino, DuckDB, Snowflake, RisingWave — can read and/or write Iceberg data directly. - Source: dev.to / 27 days ago

• How to Reduce Big Data Analytics Costs by 90% with Karpenter and Spark

  Apache Spark powers large-scale data analytics and machine learning, but as workloads grow exponentially, traditional static resource allocation leads to 30–50% resource waste due to idle Executors and suboptimal instance selection. - Source: dev.to / 29 days ago

• Unveiling the Apache License 2.0: A Deep Dive into Open Source Freedom

  One of the key attributes of Apache License 2.0 is its flexible nature. Permitting use in both proprietary and open source environments, it has become the go-to choice for innovative projects ranging from the Apache HTTP Server to large-scale initiatives like Apache Spark and Hadoop. This flexibility is not solely legal; it is also philosophical. The license is designed to encourage transparency and maintain a... - Source: dev.to / 2 months ago

• The Application of Java Programming In Data Analysis and Artificial Intelligence

  [1] S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach. Pearson, 2020. [2] F. Chollet, Deep Learning with Python. Manning Publications, 2018. [3] C. C. Aggarwal, Data Mining: The Textbook. Springer, 2015. [4] J. Dean and S. Ghemawat, "MapReduce: Simplified Data Processing on Large Clusters," Communications of the ACM, vol. 51, no. 1, pp. 107-113, 2008. [5] Apache Software Foundation, "Apache... - Source: dev.to / 2 months ago

• Automating Enhanced Due Diligence in Regulated Applications

  If you're designing an event-based pipeline, you can use a data streaming tool like Kafka to process data as it's collected by the pipeline. For a setup that already has data stored, you can use tools like Apache Spark to batch process and clean it before moving ahead with the pipeline. - Source: dev.to / 3 months ago