Google Glass to Revolutionize Big Data


Google glass project, once in full swing and with full acceptance by consumers, will turn out to be a biggest source of data which could be treated best by applying big data technologies.

Simply speaking, Big Data is data set having following characteristics:

  • Volume
  • Velocity
  • Variety
  • Veracity

That said, Google Glass will add variety of data in greater volume at much greater velocity. Some of the existing big data technologies that can be thought to help great deal to store and process data acquired by Google Glass are following:

  • Hadoop (HDFS & MapReduce)
  • HBase for non-relational database to work with data stored with Hadoop
  • Hive for business analytics
  • Solr (Lucene) for search; Project Lily can be a life saver;
Ajitesh Kumar

Ajitesh Kumar

Ajitesh has been recently working in the area of AI and machine learning. Currently, his research area includes Safe & Quality AI. In addition, he is also passionate about various different technologies including programming languages such as Java/JEE, Javascript and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data etc.

He has also authored the book, Building Web Apps with Spring 5 and Angular.
Ajitesh Kumar

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