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Popular instances where GCP is used widely are machine learning analytics, application modernization, security, and business collaboration. It provides cloud storage and computing services across 93 availability zones and 29 geographic regions. Launched in 2006.
Hadoop is scalable as it works in a distributed environment, unlike traditional systems that put a limit on the amount of datastorage. The system is readily extensible to add more servers that can hold up to several petabytes of data as necessary.
Popular instances where GCP is used widely are machine learning analytics, application modernization, security, and business collaboration. It provides cloud storage and computing services across 93 availability zones and 29 geographic regions. Launched in 2006.
It has in-memory computing capabilities to deliver speed, a generalized execution model to support various applications, and Java, Scala, Python, and R APIs. Spark Streaming enhances the core engine of Apache Spark by providing near-real-time processing capabilities, which are essential for developing streaming analyticsapplications.
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