Solving the Hadoop Challenge
Hadoop data lakes were initially considered the “holy grail” of big data analytics. However, in short order these data lakes became a dumping ground for data that both lacked governance and the ability to perform complex data science or analytics, while generating exorbitant costs for storage and compute.
“From siloed data to redundant datasets to ungoverned data, Hadoop has never lived up to its promise of an efficient and cost-effective data management and analytics solution,” said Mathur. “The cloud is the answer. The cloud is able to store, manage and activate massive volumes of data to optimize business. It delivers real operational benefits. A migration off of Hadoop and to the cloud is a commitment by organizations to modernize their data analytics capabilities.”
But the migration to the cloud from Hadoop data lakes can be a difficult undertaking, causing companies to remain bogged down in their “data swamp.” Until recently, the primary method available to companies looking to migrate to the cloud from Hadoop was the use of offshore labor, typically offered by large global system integrators. Teams of developers were then required to manually rewrite this code to more modern architectures that run in the cloud. This approach is costly, slow and risky, and can leave the customer without the output necessary for business intelligence.
Next Pathway’s automated solution provides customers with a streamlined, cost-effective, and low-risk method to migrate from Hadoop and onto the cloud, without interrupting or distributing critical business functions.
About Next Pathway
Next Pathway is the Automated Cloud Migration company. Powered by Crawler360™, the Migration Planner and the SHIFT™ Migration Suite, Next Pathway automates the end-to-end challenges companies experience when migrating applications to the cloud. For more information, please visit nextpathway.com.
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