Big data is a monumental aspect of everyday life, it drives big industries and small industries across the globe to improve their operations and customer services. From a simple like on an instagram post to satellite tracking, many companies leverage big data to search trends and patterns that make them the big bucks. With pros comes the cons, and big data has its few shares.
For students in the field related to big data, the sheer volume of the subject can get overwhelming. Add to the mix piles of big data assignments that require certain knowledge, skills and time.
Understanding Big Data And Its Importance
Big Data is a collection of data, collected on a large scale in order to make decisions and find trends. It gathers large data from a variety of sources including street cameras, social media analytics, and literally anything that has technology. It is used in machine learning projects and other advanced analytics.
Many large companies and business organizations use big data to improve their customer service, get insights into customer’s behaviors and take actions based on decisions to increase their profits and sales. Students too, collect and analyze data for their assignment on big data.
Impact of Big Data On Society
Big data has made progress in almost each and every industry, making its importance very urgent. Big Data has impacted society both positively and negatively, improving decision making but also cementing privacy risks along with it. Here are both the positive impact and negative impact of Big data:-
1. Positive Impact
- Heathcare- Big Data has brought the healthcare sector to number one in terms of advancement and improvement. With seamless collection of a patient’s health records, allowing understanding the patient’s medical history and diagnosing him for diseases is so much easier. It also plays a big role in detecting chronic diseases and cancer in their early stages. Big data’s role in healthcare is revolutionary, driving better treatment approaches, efficiency and advanced technology for a better public health.
- Education- Big data has positively impacted education by introducing personalized learning and adaptive learning. As for the management, it has made a seamless administrative process allowing teachers to easily grade students through data given. Additionally, through large data sets, educators can learn about each student’s learning needs, pace and create assessments that cater their learning abilities.
- Scientific Research- Big data is equally as important to the science and research field. Scientists gather data and analyze patterns and trends leading to new discoveries and inventions. Big data is used in weather forecasting, monitoring traffic congestions, reducing economic loss, population growth, migration disaster warnings and so much more. Big data in science and research helps scientists make discoveries and predictions faster and improve the challenges with efficiency.
- Business- Big data is a huge game-changer for business, literally driving forward their operations. Businesses like banking, retail, e-commerce, manufacturing all heavily rely on decisions from big data. Big data for business is like a magnifying glass that lets them peek into trends, opportunities and behaviors to make informed decisions that refine their strategies.
2. Negative Impact
Did you come across those persistent cookie permissions that pop up whenever you visit a website? That’s part of the big data collection method in action. By giving permissions to those cookies, you are allowing them to track your data. Here are some key drawback of big data:-
- Privacy- Cyber security concerns with examples Microsoft data breach
- One of the significant drawbacks of big data is its privacy violation. One such incident happened in September 2024, where National Public Data, a fraud prevention service experienced a data breach. Where about a hundred million people’s private data was exposed.
- Data Ownership Issues- Data is collected from various sources and it becomes unclear who truly owns the data or produces it. This is prone to some ethical and legal concerns, as people are unaware of how their data is being used. This may result in misuse and exploitation of the person’s data for purposes beyond what they originally intended for.
- Risks in Automated Decision Making- Automated decisions are based on algorithms and vast amounts of data. This may result in decisions that are not credible or complete. Since it usually functions without human intervention, errors or unforeseen circumstances may arise which may affect decisions.
- Surveillance- Since a large amount of data, usually sensitive data is collected and stored by organizations may have potential security risk. Cyberattacks are common that can result in data breaches affecting many users. The misuse of surveillance of people’s health records, personal information may violate their privacy.
- Bias-Big data is prone to undermining accuracy and fairness. Bias in big data occurs when the data is falsified towards a certain group of individuals or region, which produces inaccurate results. If the dataset is not representative due to various biases, the results will lead to discriminatory.
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Conclusion
Big data has undoubtedly shaped society, offering numerous benefits like improved decision making, and efficiency across various companies. The potential it brought in enhancing our lives in so many ways. However, every innovation comes with its own pitfalls and so does big data. Risks associated with privacy, security and biases make its usage sensibly. For students enrolled in computer science, big data is a unit that’s unforgettable with all its vast numbers and intricate tools. Not forgetting the increasing number of Big Data Assignments they are assigned on a weekly basis. With Assignment Global’s big data assignment help, students can access professional experts who deliver quality accurate assignments customized to your needs. Don’t let all the math equations stop you from achieving good grades because professional help is just a click away.