The most ambitious project of India, Aadhaar project relies completely on Big Data. From collection of data to storage and utilization of biometric information of the entire population, big data till date has crossed over the billion mark. It is needless to say, a project of such a vast magnitude must be plagued with ample challenges but as its powered by big data, the chances of success is high.
Basically, Aadhaar is a unique 12 digit number assigned by the UIDA, Unique Identification Authority of India to an individual residing in India. The project was launched in the year 2009 under the supreme guidance of former Infosys CEO and co-founder Nandan Nilekani. He was the sole architect of this grand project, which required several added inputs from various other sources.
MapR, a business software company headquartered in California is providing technology support for the most-ambitious Aadhaar project. It is the developer-cum-distributer of “Apache APA +0.00% Hadoop” and for quite some time it is optimizing its well-integrated web-scale enterprise storage and real-time database tech for this project.
The encompassing technology architecture behind Aadhaar is structured on the principles of openness, strong security, linear scalability and vendor neutrality. The system is expected to expand with every new enrollment, which means it’s required to handle millions of transactions through billions of records, each day.
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The landscape of employment is changing. The job opportunities in the field of data science is surging onwards, that too at a robust rate. Continue reading →
The ‘trending’ topic this season is Data Processing. The statistics attached with this blog depicts that respondents have mainly voted for NoSQL and SQL databases. The opinions of the respondents have conferred the title of ‘most engaging’ to NoSQL database, confirming the second position with a 74.8%.
The survey declares the PostgreSQL as the confirmed winner, where 25.3 % have proclaimed it to be ‘very interesting’ and 37.7 % have confined within ‘interesting’.
Also read: Top Databases of 2017 to Watch Out For
- Elasticsearch declared runner-up with an overall 59%.
- The amalgamation of Lucene and Solr roaring with 43.8%
- More interest devoured in Apache Spark with 3%
- Hadoop scoring a meager of 8%
Next, it unveils that the US respondents have mainly opted for Elasticsearch to PostgreSQL, and Oracle have failed to evoke any interest in the mind of US respondents. However, the picture is completely opposite for the European respondents.
Also read: Data Analytics for the Big Screen
The ending note states that it is high time we realize that the dire need of the hour is data storage and processing. This conclusion is supported by the fact that so many respondents have invested their valuable time in the survey and clearly shows that database is here to stay.