What’s good and what’s not about Big Data?

Now we are surrounded by big data, so let me talk about big data, what it can do for us, and its drawbacks.

According to Wikipedia, Big data is an area of research on analyzing, systematically extracting information from data sets, or processing large or complex data sets that traditional data processing applications cannot handle. Data with more use cases provide greater statistical power, while data with more complexity (more attributes or columns) can lead to higher error discovery rates. Big data challenges include data capture, data storage, data analysis, search, sharing, transport, visualization, query, update, information privacy, and data sources. When dealing with big data, we may not sample but observe and track what is happening. As a result, big data often includes data that exceeds traditional software’s processing power within acceptable time and value.
What Big data can do for us, and what benefits of using it?

Big data is useful in fields as diverse as healthcare, finance, environmental protection, and economics. It allows Banks to use investments, credit CARDS, savings, and mortgages to perform credit scores for customers, rather than relying on third parties. Hadoop, a commodity, has helped companies such as Facebook, LinkedIn, Twitter, and e-Bay move to lower-cost servers. Big data allows for the fusion of information, which is ecological. Healthcare providers use big data to gain new knowledge clues that help them understand complex healthcare issues.

Also, big data has many benefits for small businesses. 1. Using big data increases your efficiency. It boosts your business’s efficiency by using Google Maps, Google Earth, and social media tools, and you can do many tasks right at your desk without having travel expenses. These tools save a significant amount of time, too. 2. Big data helps you increase sales and loyalty; the digital footprint we leave behind reveals a wealth of insights into our shopping preferences, beliefs, and so on. This data enables companies to tailor products and services to their customers’ needs. When your customers browse and post online to social media channels, they leave a digital footprint. 3. Big data can help you hire the right employee. Recruiters can scan a candidate’s resume and LinkedIn profile for keywords that match the job description. The hiring process is no longer based on the applicant’s written image and impressions.
The disadvantages of using Big Data!
Big data also has some drawbacks that make it difficult to use. First, it fails to provide appropriate data processing solutions for functional process management data integration and the right analysis tools. Second, all companies that use big data have to adapt to new changes, which can be expensive. Therefore, there are some problems with big data, which make its implementation challenging.

Finally, make good use of big data and let it improve my life!!!