Running Pandas 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.

Pandas

Pandas is an open-source Python package that is most widely used for data science/data analysis and machine learning tasks. It provides support for multi-dimensional arrays and data manipulation. Pandas strengthens Python by giving the popular programming language the capability to work with spreadsheet-like data enabling fast loading, aligning, manipulating, and merging, in addition to other key functions. It is prized for providing highly optimized performance when backend source code is written in C or Python. Pandas has become popular because it provides a powerful set of commands and features that are used to easily analyze data. It can be used to perform various tasks like filtering data according to certain conditions, or segmenting and segregating data according to preference. It can efficiently handle large datasets and provides spreadsheet functionality.

GCP is a popular cloud option for companies looking to run Pandas 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 Pandas 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.