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;
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I found it very helpful. However the differences are not too understandable for me