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Cloud Based Data Warehousing for Big Data Analytics

  • Unique Paper ID: 179677
  • Volume: 11
  • Issue: 12
  • PageNo: 7387-7388
  • Abstract:
  • With the recent advancements in computer technologies, the amount of data available is increasing day by day. However, excessive amounts of data create great challenges for users. Meanwhile, cloud computing services provide a powerful environment to store large volumes of data. To the best of our knowledge, this is a first systematic review of its kind, that reviews academic documents published in peer reviewed venues from 2011 to 2019, based on a four step selection process of identification, screening, eligibility, and inclusion for the selection process. They eliminate various requirements, such as dedicated space and maintenance of expensive computer hardware and software. Handling big data is a time consuming task that requires large computational clusters to ensure successful data storage and processing. In this work, the definition, classification, and characteristics of big data are discussed, along with various cloud services, such as Microsoft Azure, Google Cloud, Amazon Web Services, International Business Machine cloud, Hortonworks, and Map R. A comparative analysis of various cloud-based big data frameworks is also performed. Various research challenges are defined in terms of distributed database storage, data security, heterogeneity, and data visualization.
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  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 12
  • PageNo: 7387-7388

Cloud Based Data Warehousing for Big Data Analytics

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