Big Data Analytics Flashcards, test questions and answers
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What is Big Data Analytics?
Big Data Analytics is the process of collecting and analyzing large amounts of data to identify patterns, trends, and correlations. This type of analysis is becoming increasingly important in many areas such as marketing, healthcare, finance, telecommunications and security. Big Data Analytics can help organizations improve their decision-making processes by uncovering insights that may not have been visible using traditional methods. Organizations are using Big Data Analytics to gain a competitive advantage by leveraging the information they collect from customers, employees or other sources.Big Data Analytics is made possible by new technologies such as Hadoop, Spark and NoSQL databases that allow organizations to store large amounts of data cost-effectively and process it quickly. By taking advantage of these technologies, businesses can analyze data in real time to gain valuable insights into customer behavior or business operations. Furthermore, machine learning algorithms can be used to automate the analysis process so that decisions can be made faster and more accurately than ever before. Organizations are also using Big Data Analytics to detect fraud or security threats more quickly than traditional methods allow for. By monitoring vast amounts of data in real time, companies can detect suspicious activity much sooner than if they relied on manual checks alone. This helps reduce losses from fraudulent activities while ensuring customers’ financial information remains secure. Overall, Big Data Analytics has revolutionized how organizations make decisions by allowing them to leverage huge amounts of data for better insight into customer behavior or operational performance.