Hadoop Is Falling – Why?

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Hadoop had an open-source software framework that gained popularity a decade ago. Apache Hadoop was an unprecedented discovery, with businesses struggling to process heavy data and faced storage problems. It has redefined how data is processed, analyzed and stored by providing a HadoopDistributed File System (HDKs) for data analysis and processing. More than half of Fortune 50 companies adopted Hadap until 2012, reported PR Newswire.

Cloudera emerged as Hadoop’s first dedicated company in 2008, and later after Mapper and Horton Works. Hadoop technology has become a favourite company for Fortune 500 companies and yet they are announcing to dump this technology. After passing through a journey like this and getting so much like, why is Hadoop going through a lot of declines today?

Changes that cause a crash


The rise of the cloud plays a major role in the decline of Hadoopad adaptation. In 2018, Twitter announced its stay in google cloud to increase productivity and meet growing needs. In addition, he said his Hadoop file system collects more than 300 petabytes of data and is taking the Hadoop computing system to Google Cloud.

Cloud promises large data processing scalable and efficient big data processing compared to on-base Hadoop technology, which is often blamed for its operational costs. It does not work well even with replicator data and for large loaves of small data sets, it is often recognized as an inefficient solution. The growing demand for real-time data analytics also played a major role in reducing Hadoop s interest.

Sometimes operators dump a heap of unstructured data to the distributed file system and offer solutions to increase complexity. There is less confusion about the cloud and it provides a scalable cost-efficient platform.

Is Hadoop dead?


Oh, no one should be pessimistic. Technology like Hadoop can develop but not completely disappear. The global Hadoop market is expected to reach $340.35 billion in 2019 compared to $26.74 billion, according to the Allied Market Research Report, which is expected to grow by 37.5% in CAGR by 2020-2027. Isn’t that anomalous? Hadoop can end up in technology and become more mature.

Adoption may decrease, but Hadoop will not disappear because it can be used for abundant data collection even if it is not used for analysts. The coming years will also be able to testify to both cloud-based and base infrastructure using hybrid methods for data collection and analysis. Here, it has a lot of scopes because it is a highly acceptable technology with a cost-efficient and scalable data storage system.

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