A Literature Survey on Big Data
This article explores the various tools and technologies currently being leveraged (like Hadoop, which is useful for developing applications that can perform absolute statistical analysis on vast quantities of data) and the issues faced when using them (heterogeneity and timeliness, security, incompleteness and scalability of the data are the biggest obstacles when analyzing big data). What are some additional areas where big data utilization can grow? What needs to improve? What other technologies do you envision being used in collaboration with big data in the future, and in what ways?
5. Future Work
Big data has taken the business world by storm, we can concur that, but what comes after that?
Large data will it continue to grow?
What kinds of technologies will expand around it?
Will the big data turn into an artifact as rapidly as the next trend, cognitive technology? Fast data? appears on the horizon.
These are various number of the predictions from the foremost experts in this field and also how much likely they are to approach to exceed.
- It is estimated that sixty percent and above of companies are currently investing in big data and analytics tools to help make their HR departments more data driven.
- The market of big data is estimated to develop further by 25% a year. This numeral comes from market research specialists International Data Corporation. IDC predicts that by the year 2018, there will be a compound annual growth rate of 26.4 % to $41.5 billion of the big data technology and services market. Which is about 6 times the growth rate of the whole information technology market.
- More than 30 billion devices will be wirelessly connected by 2020.
- There will be continuity in growth of data volumes. Absolutely, there are no questions that we will continue creating superior and superior volumes of data. Particularly taking into account, the exponential growth of total number of handheld devices and internet connected devices.
- Data analyzing ways will improve. Spark is rising as a balancing tool for analysis while SQL is still the standard and according to ovum, it will prolong to grow.
- In the business analytics software the prescriptive analytics will be built in. According to IDC by the year 2020, ½ of all business analytics software will include the intelligence where it is desired.
- Together with autonomous vehicles, robots, smart advisers and virtual personal assistants the Autonomous agents and things will continue to be a vast trend.
- According to IDC(International Data Corporation), to incorporate architects and experts in data management big data recruitment shortages will enlarge from analysts and scientists.