Running Spark 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.

Spark

Apache Spark is an open-source data processing engine that is designed to improve data-intensive applications' performance. It provides a more efficient way to process data, which can be used to speed up the execution of data-intensive tasks. It lets you process big data sets faster by splitting the work up into chunks and assigning those chunks across computational resources. Spark has been called a "general-purpose distributed data processing engine" and "a lightning-fast unified analytics engine for big data and machine learning". It provides development APIs in Java, Scala, Python, and R, and supports code reuse across multiple workloads, batch processing, interactive SQL queries, streaming analytics, machine learning, and graph processing. Spark is especially used to access and analyze social media profiles, call recordings, emails, etc. This helps companies make correct business decisions for target advertising, customer retention, fraud detection, etc.
GCP is a popular cloud option for companies looking to run Spark 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 Spark 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.

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