Migrating Hadoop Data to Google Cloud

Author(s)	Sainath Muvva
Country	United States
Abstract	As companies are generating data at an unprecedented rate, the growing demand for increased computing power, storage capacity, and data governance is compelling them to transition from on-premises infrastructure to cloud-based solutions. This migration to the cloud has gained significant momentum in recent years, and the trend is likely to continue. The three major cloud service providers are AWS, Microsoft Azure, and Google Cloud Platform (GCP). This paper serves as a guide for migrating data stored on the Hadoop File System to Google Cloud Storage buckets and Google BigQuery. It also discusses Google's Dataproc, which is the equivalent of Hadoop in the GCP ecosystem. The paper addresses the challenges, cost-efficiency considerations, and data governance aspects involved in this migration process to the Google Cloud Platform
Keywords	Hadoop, GCP, Dataproc, BigQuery, Parquet
Field	Engineering
Published In	Volume 1, Issue 3, November-December 2019
Published On	2019-11-19
Cite This	Migrating Hadoop Data to Google Cloud - Sainath Muvva - IJFMR Volume 1, Issue 3, November-December 2019. DOI 10.36948/ijfmr.2019.v01i03.22623
DOI	https://doi.org/10.36948/ijfmr.2019.v01i03.22623
Short DOI	https://doi.org/g82jbx

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International Journal For Multidisciplinary Research