Running Distributed Computing Jobs on GCP

GCP

Google Cloud Platform (GCP) is a cloud computing platform that provides a wide range of services such as computing power, storage, and databases to businesses and individuals. GCP is known for its scalability, reliability, and security. It offers a pay-as-you-go pricing model which allows users to only pay for the services they use. GCP is used by many companies such as Spotify, Coca-Cola, and HSBC.

Distributed Computing

Distributed computing technology refers to a system where multiple computers work together to solve a problem. It allows for parallel processing of data across multiple machines, which can lead to faster processing times. Distributed computing technology has become increasingly popular due to the rise of big data. It allows for the processing of large amounts of data that would be too large for a single machine to handle. Some examples of distributed computing technologies include Apache Hadoop, Apache Spark, and Apache Flink.

GCP is a popular cloud option for companies looking to run distributed computing workflows at scale. Kaspian securely deploys into your GCP environment, ensuring that all storage and compute assets remain within your cloud. Kaspian's flexible compute layer empowers data teams to run distributed computing jobs on GCP in a highly performant, scalable, and configurable manner; no overpriced vendor markups or cloud-locking solutions required.

Learn more about Kaspian and see how our flexible compute layer for the modern data cloud is already reshaping the way companies in industries like retail, manufacturing and logistics are thinking about data engineering and analytics.