The article exhibits interesting insights about Big Data with some foundational concepts. Enjoy!
Big Data: Definition | Difference between Big Data and Traditional Data
In the simplest words, the raw information can be termed as data and the voluminous amount of data is what we call as “Big Data”.
There are numerous differences between big data and traditional data. Apart from larger volume, higher velocity and a higher degree of uncertainty, big data uses distributed database as compared to the centralized database used by the traditional data. Furthermore, data has become more semi-structured and unstructured now leading to a greater variety.
Figure 1. Every 60 seconds
What makes big data ready for use now?
Big data is not a new phenomenon but a part of an extensive process of capturing, storing and using data. The fundamental challenges associated with big data were: How to store, How to work with voluminous data sizes and more important, how to perceive data and turn it into a competitive advantage. As the Data have outgrown the storage and processing capabilities of a single host, it required “massively parallel software running on thousands of servers”. Novel approaches led to the discovery of competent analytics techniques, tools, and architecture which make big data ready for use now.
One of the biggest data topics: Blockchain
All I comprehend about Blockchain is that it’s a decentralized technology having a distributed database in which the digital ledgers keep on updating of who owns what. As an illustration, someone has requested a transaction. This transaction is sent over a huge network of connected computers basically known as nodes, for validation. This validated transaction is then getting combined cryptographically with the existing chain so that it shows every transaction made in the history of that blockchain. And that’s how a transaction is processed.
Figure 2. Blockchain Technology
Significant Industries for big data applications
Healthcare Industries and Education sector can have a great impact by using big data applications. In particular, outbreak detections of severe diseases in specific locations undeniably succor in advance healthcare facilities. Electronic health records (EHRs) are a great idea which includes patient’s demographics, medical history, test results etc.; implementation of genomic analytics will be able to drive a healthcare revolution. In general, all these have the potential in improving the quality of life. Likewise, education sector can truly be reformed by enhancing the student’s progress, dispensing upgraded customized programs viz. MOOCs and refinement in the learning experiences in real time.
Figure 3. Big data applications
Role of large multinationals in the data ecosystem
Predominantly, the importance of data lies in how effectively and efficiently a company is utilizing it. Large corporations can really help in ameliorating customer experiences as they have huge clumps of data gathered from their customer care centers, product or services reviews etc. It all depends on how they leverage analytics to really make assets operate better.
Big Data: Issues and Challenges
- Data Security and privacy are major issues related to data escalation as the technologies like cloud-based storage etc. are inefficient in facilitating with proper security measures.
- Distributed framework calculations like MapReduce in Hadoop lack with computational security which is needed to be secured.
- Real-time data is also needed to be immune to security issues and vulnerabilities.
Indian Government and Big Data
India is one of the biggest data repositories in the world. We have the massive millennial population, having over 1 billion of cell phone users and over 460 million of internet users. All these stats manifest that they can help organizations in gathering and mining useful insights which can be used for better governance.
Initiatives taken by the government namely, Digital India Programme, Aadhar Card, PAN card make the things more promising for the future of Big Data in the country. Presently, the data is properly organized and stored which can provide gainful consumer insights. Continual attention is giving to cashless payments and digitization which in turn empowering the society digitally with the help of technologies like Cloud and Mobile Applications. Indian Government implements the use of Aadhar Card by each and every citizen. Aadhar card is one of the world’s most aspiring big data projects consist of world’s largest biometric database which aims to use the information of over a billion people effectively. Aadhar architecture can have real-time monitoring using events, can be scaled on JVM and across, nightly data sets can be used to build dashboards, data marts, and reports. It has the great ability to bring massive digitalization over the country.
Figure 4. Aadhaar Architecture
The Economic Survey by Union finance ministry shows the entrance of big data in Indian policies like the government has the forethought of using geospatial analytics on how Urbanization is happening across India. The Indian government is also planning to use the big data metrics as a means of getting an estimate of trade, labor flows, cross-checking the citizen’s lifestyle pattern with income proclamation, tax assessments within the country.
How will our lives be transformed?
Our lives have already been transformed to an extent and will be hugely affected in the upcoming future. There will be good as well as not so good aspects of this technology. On one hand, it can tremendously contribute in better governance, improve healthcare facilities, manage the agricultural issues and much more while on the other hand; it gives the power to the authorities to manipulate with anyone’s information. Data security and privacy will remain the major issues which are needed to be taking in concern.
It all depends in part on how we shape this new technology.
Most exciting about the future and big data
Big data has the potential to revolutionize the industries. I am more excited to the thing as how well can we contribute in different social problems, how can we reach to the people or to the remote areas where still there is no sign of technology, how can we gather the data from such areas and will utilize it to transform the lives of the people where there is actually needed.
Hopefully, the article withstands to provide you with the glance of Big Data, all its variants, implications, how data, access to it and new tools will influence our lives.
Reach out if want to talk and work in the field of Data Science and Machine Learning. In addition to this, I'm a Third Year Undergraduate pursuing Bachelor's degree in Computer Science and Engineering.
Linkedin : https://www.linkedin.com/in/trishasinghal
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