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;
I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. I would love to connect with you on Linkedin.
Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking.
Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking.
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I found it very helpful. However the differences are not too understandable for me