Big Data Challenges and How to Solve Them


https://www.scnsoft.com/blog/big-data-challenges-and-their-solutions
In this post, we will be exploring seven major problems that exist with big data, as well as some of the solutions posed for these problems, according to the article. The information provided in the article is taken from big data consultants.
  1. Insufficient Understanding And Acceptance of Big Data
Many companies, employees and even individuals find themselves with this problem. They do not know what big data is, how it is used, what software should be used or even the advantages of big data. Failure to know about these things or even inadequate knowledge in detail could result in losses and waste such as time, money, other resources and even complete project failure. Furthermore, this ignorance could lead to slowing down the companies progress, especially as technology continues to advance.
So, how should this problem be solved?
The key step is to have those at the top of the hierarchy such as management learn about big data and the benefits of implementing it in their company. Then, in order to have it work smoothly in the entire company, people on lower lines of the hierarchy should be made aware of these things as well. The Department of Information Technology should have a general understanding of big data and then host workshops and training for others down the hierarchy. 
  1. Confusing Variety of Big Data Technology
Since there are so many technologies available, it can be confusing to know which data tools that a company should use. It can be very confusing and easy to get lost if you don’t know what you need.
Solution: 
Seeking professional help might be a good strategy. Together, with a nig data consultat, you could choose the right tools needed.
  1. Paying Loads of Money
Big Data projects can be very costly. Doing it at your company would entail paying for hardware, new employees, development, software, configurations, etc. Cloud based also requires paying for cloud data services, maintenance, etc
Solution:
Choose the option that better suits your company’s needs and wallet. Look into data lakes and optimized algorithms.
  1. Complexity of managing data quality
The two main problems of this are: data from diverse sources and unreliable data. With data from diverse sources, at one point you will run into data integration problems because data comes from a variety of sources and in different formats. With unreliable data, data can sometimes be inaccurate, duplicated and even contradictory.
Solution: 
Create a proper big data model, compare the data to a single point of truth, then match and merge records. In addition, you could learn about big data quality.
  1. Dangerous big data security holes
As big data technology evolves, big data security gets neglected. Eventually, it gets cast aside.
Solution:
Big data security needs to be placed as a priority, do not hold it off for later.
  1. Tricky processes of converting big data into valuable insights
Failure to analyze data from relevant sources could lead to loss in revenue.
Solution: 
You need to create a proper system. The analysis of a system with factors and data sources should bring valuable insights and even include external data.
  1. Troubles of Upscaling
With big data growing so rapidly, it is easy to fall behind because of the systems' performance declining and being unable to stay within a budget.
Solution:
Plan systems maintenance and support and hosting performance audits can save you trouble.

Comments

Post a Comment

Popular posts from this blog

How Big Data Can Boost Weather Forecasting

張岳庭 D0741017 Source:  https://www.wired.com/insights/2013/02/how-big-data-can-boost-weather-forecasting/ Considering the number of variables involved and the complex interactions between these variables, weather forecasting has always been extremely challenging. The significant increase in data collection and processing capabilities has greatly improved the ability of weather forecasters to pinpoint the time and severity of hurricanes, floods, snowstorms and other weather events. Globally, more and more evidence of climate change is prompting governments and scientists to take action to protect people and property from its effects. But to take effective measures, they need to know more about the weather-from everything that will happen tomorrow to what will happen next year. According to the professor of economics and finance , Alan Anderson, PhD , “Example of an application of big data to weather forecasting is IBM’s Deep Thunder. Unlike many weather forecasting systems...
Read more

How Big Data is Changing the Production Industry

Blog#4 : How Big Data is Changing the Production Industry Name : Aileen 蔣慧玲 Student ID : D0726917 Source :   https://www.productionhub.com/blog/post/how-big-data-is-changing-the-production-industry Information technology plays a major role in Hollywood. Producers have to use big data analytics to get the right consumers and communicate with them well. Big data technologies will help filmmakers figure out the best ways to share their ideas and deliver messages, develop movies and content that involve ethical and societal issues. Therefore, information that we can get from the help of big data can help filmmakers make key decisions. Big Data is Changing the Production Game Big data technology can help filmmakers to connect and engage with consumers more directly using social media, mobile devices and traditional advertising outlets. Using this technology, producers can develop promotions that reaches the right consumer at the right time. It is not enough just to mainta...
Read more

Big Data case study: 5 relevant examples from the airline industry

D0740712 Connie  吳霈晴 Website: https://blog.datumize.com/5-relevant-examples-of-a-big-data-case-study-from-the-airline-industry With the summer vacation coming, travel is the one that people love to do during vacation, especially long vacation, going abroad may be the first choice for many travelers. So this makes me think of what is the relationship between big data and airplanes? How will it apply on the airline industry? This article tells about the benefits of big data on airlines, which covers three main advantages. 1.      Smarter maintenance 2.      Safer flights 3.      Improve service The first one includes the fuel of airplane, by analyzing and predicting, the article takes some specific airplane company as an example, giving the real number and how much they save the cost. Second, safety. Like this kind of transportation has a higher risk to take, if have the big data’s help, th...
Read more