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How LinkedIn uses Hadoop to leverage Big Data Analytics?

ProjectPro

All the batch processing and analytics workload at LinkedIn is primarily handled by Hadoop. LinkedIn uses Hadoop for development of predictive analytics applications like “Skill Endorsements” and “People You May Know”, ad-hoc analysis by data scientists and for descriptive statistics for operating internal dashboards.

Hadoop 40
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The Good and the Bad of Apache Spark Big Data Processing

AltexSoft

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 analytics applications.

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AWS vs GCP - Which One to Choose in 2023?

ProjectPro

Popular instances where GCP is used widely are machine learning analytics, application modernization, security, and business collaboration. Launched in 2006. Paypal, Twitter, Forbes, Voot, and Icici are some clients that rely on GCP’s services.

AWS 52