How can big data be analyzed and processed for social media?5 answersBig data can be analyzed and processed for social media by using data analysis techniques and tools such as Apache Hadoop and Apache Flume. These frameworks provide a structure for accumulating and analyzing large volumes of social media data. Additionally, artificial intelligence can be used to further analyze social media participation and improve understanding of social media interactions. The diversity of social media data can be taken into account by developing a "Big Social Data as a Service" composition framework that dynamically assesses the quality features of the data and composes appropriate services for analysis. This framework can extract data from various social media platforms and transform it into useful information. The analysis of big data from social media can provide insights such as sentiment analysis, innovative trends, patterns, and outliers, which can be utilized for competitive advantage.
What is definition of big data ?4 answersBig data refers to the process of extracting, manipulating, and analyzing large datasets that are too complex for traditional data management tools to handle. It involves different types of data, such as structured or unstructured data, and is characterized by its volume, velocity, and variety. Big data is an interdisciplinary field that combines social sciences, psychology, engineering, and computer science, and it aims to optimize the extraction of information from various sources for different purposes. The emergence of big data methodologies has led to the resurgence of applications and software based on artificial intelligence, which revolutionize policy instruments and enable the digital transformation of public policies. In summary, big data is a massive collection of data that is diverse, huge, and incredibly fast, and it requires specialized techniques and tools for effective management and analysis.
What is the big data?5 answersBig data refers to large and complex datasets that cannot be effectively managed using traditional data management tools. It is characterized by its volume, velocity, and variety. Big data is valuable and has numerous applications across various sectors. It is used for predictive analytics to discover new correlations and trends, and it can be used in sectors such as internet searches, healthcare analytics, and business informatics. Big data involves the extraction, manipulation, and analysis of large-sized datasets, which can contain different types of structured and unstructured data. Big data analytics is the process of deriving meaningful insights and correlations from big data, which can help organizations cut costs, increase efficiency, and improve sales. Cloud computing is often used as a complementary technology for big data, providing remote access, faster processing, and reliable storage. The complexity and volume of big data are increasing due to digital technologies, the internet, social media, and the Internet of Things.
Can human process big amount of data?5 answersHumans cannot process huge amounts of data due to limitations in their ability to handle large volumes of information, potential errors, and relatively slow processing speed. However, humans can excel at certain tasks that involve image analysis or natural language processing, where their expertise surpasses that of machines. In the context of big data, there is a growing erosion of the human role in decision-making and knowledge discovery processes, with decreasing involvement and control over data processing and summarization. Despite this, it is important to incorporate human expertise and prior knowledge in decision-making and knowledge production, while also implementing robust monitoring and appraisal mechanisms to ensure that relevant data is answering the right questions. The use of big data in various sectors, including healthcare, education, and scientific research, necessitates the development of advanced tools and techniques to store, process, and analyze the vast volume of unstructured data.
What are different areas of appication for big data?5 answersBig data has various areas of application. These include manufacturing and agriculture or forestry, which have shown the fastest growth in recent years. E-governance and society also deal with big data, where it plays a vital role in modernizing the public sector and improving the economy of a country. Additionally, big data is crucial for the development of smart cities, with applications in smart government, smart transportation, smart logistics, and smart architecture. Furthermore, big data is being applied in diverse fields such as autonomous driving, crime forecasting, medical diagnosis, and bioengineering, among others.
What is the importance of "big data major"?5 answersBig data is of major importance because it has the potential to revolutionize various industries, including healthcare, by improving services and financial advantages. It enables businesses to make faster and better decisions based on real-time analysis, leading to improved efficiency and profitability. The adoption of big data tools and frameworks, such as Apache Hadoop, allows for the processing, managing, and storing of large-scale data in distributed environments. Integrating big data in maritime transport can help improve the industry by analyzing past data to avoid power failures and obtain real-time environmental data. Big data applications are crucial for extracting valuable trends and relationships from vast and heterogeneous data sets, paving the way for productivity and innovation in various domains, including healthcare, public sector, retail, manufacturing, and personal location data.