Data Analytics And Security In Cloud

@article{1700449,
      author = {Rohit Raj},
      title = {Data Analytics And Security In Cloud},
      journal = {Iconic Research And Engineering Journals},
      year = {2018},
      volume = {1},
      number = {9},
      pages = {329-332},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1700449.pdf},
      abstract = {The advent of the digital age has led to a rise in different types of data with every passing day. This data is complex and needs to be stored, processed and analyzed for information that can be used by organizations. Cloud computing provides an apt platform for big data analytics in view of the storage and computing requirements of the latter. We discuss various possible solutions for the issues in cloud computing security and Hadoop. Big data analytics use complex data mining algorithm that require efficient high performance processors. Cloud computing infrastructure is able to provide both computational and data processing applications and also offers elasticity, pay-per- user, low affordable investment. Challenges in data migration on cloud are scalable data management, application security, Map reduce & Hadoop environment.},
      keywords = {Big Data, Cloud Computing, Kerberos, Altryx},
      month = {March},
  }