The competetive advantages of big data in real life
Have you ever think about why big data is trending every day?
Well, just make a look to understand how important big data in our daily life and technologies. The term "Big Data" itself has the meaning of 'BIG', It's not about the size, it deals with the value within the data that exceeds the processing capacity of traditional database systems. Big Data is characterized by four 'V' s, such as Volume, Velocity, Variety, and Variability. The various challenges that are handled by big data are:
- Capturing Data
- Data Storage
- Data Analysis
- Sharing, Transfering, Updating
- Visualization,Querying, and Data Sources
Why big data is Important
The importance of big data does not revolve around how much data a company has, but how a company utilizes the collected data. The well-known companies called Facebook, Twitter, Amazon, Flipkart, etc uses data in its own way, the more efficiently a sector uses its data, the more potential it has to grow. Big data increase storage capacities and processing power. so that, the so-called companies can handle tons of users data and maintain it well..The important facts of big data's are: Cost Savings, Time reductions, Control online reputation, new product development and understand the market situations.
Let us move on the emerging Big Data technologies!!
Cloud Dataflow : With the help of this tool, we can easily deal with the operational tasks such as resource management and performance optimization. With the minimal latency, it is possible to dynamically provision the resource to manage high utilization efficiency.
APACHE SPARK : It is the backbone of Big Data Processing. It supports all important programming languages.With its built-in modules for streaming, machine learning, graph processing and SQL support, Apache Spark certainly deserves a mention as the fastest and general engine for big data processing.
NiFi (Niagara Files) :-With minimal Java coding and comfortable User Interface, It can process data from the variety of sources.
KAFKA :-Kafka is open source and extremely fast and a safe option.
Here are some interesting applications of big data :
Big data used in wide variety of industries like Healthcare sectors, Education, Government Sectors, Transportation, Insurance, Banking Securities and so on. These industries are generating a large pool of data generated from record keeping, compliance and users details, banking securities and it goes on. In today’s digital world, it is mandatory that these data should be digitized. To improve the quality of these sectors by minimizing the costs, it’s necessary that large volume of data generated should be analyzed effectively to answer various challenges. It requires a technology that helps to perform a real-time analysis on the enormous data set. This will help the government, Banking, Healthcare and all the industries to provide value-added services to the citizens and students for a better living and cope up with the current emerging technologies. Fast forward to the present and technologies like Hadoop give you the scale and flexibility to store data before you know how you going to process it.
Big data has the ability to change the way large companies, governments, and academic institutions change how everyone lives their day-to-day lives. Big data at present, is handled by the software named Hadoop. However, the increasing amounts of data are making Hadoop insufficient. Handling with this big data, we have to concentrate more on security, transferability, and inconsistency in data collections, Because these all are the rising limitations of big data.