Apache Hadoop is an open-source, fast, and scalable framework that manages and processes exceptionally large volumes of data. We have already discussed Apache Hadoop and Hadoop ecosystem in detail in a previous blog. Hadoop is used by data scientists for offline or batch processing. The framework can be scaled up by adding nodes in the cluster.
Linux operating system unlike any other commercial operating
system that is managed, distributed, and supported by a single company, is free
to distribute and use. This has led to an environment where numerous companies,
organizations, and individuals have built their own specific version of the
Linux operating system. These distributions available in the public domain are
known as distributions.
It is common business knowledge that
acquiring a new customer is five times more expensive than retaining an
existing customer. With the coronavirus pandemic and the subsequent economic
lockdown, customers are tightening their purses and deliberating and debating
how and where they should spend their money. This would make it nearly
impossible for businesses to recruit first-time buyers and hence should give
even more serious attention to customer retention to keep the money
Choosing the most suitable one is a
challenge when several big data frameworks are available in the market. The
traditional approach of comparing the strength and weaknesses of each platform
is to be of less help, as businesses should consider each framework with their
needs in mind.