big data technologies

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Updated Dec 2025

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pptxgenjs presentation introduction to big data technology big data technology enables organizations to process, analyze, and interpret large and complex data sets to gain valuable insights. this innovative technology empowers decision-making, enhances operational efficiency, and drives competitive advantages. big data technologies are the software tools used to manage all types of datasets and transform them into business insights. 2 characteristics of big data volume: big data involves large volumes of data that can be structured, semi-structured, or unstructured. velocity: data is generated at an unprecedented speed, demanding real-time processing and analysis. variety: it encompasses diverse data types including text, images, videos, and more, posing challenges for storage and analysis. 3 types of big data data storage big data technology that deals with data storage has the capability to fetch, store, and manage big data. it is made up of infrastructure that allows users to store the data so that it …

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use it is fast and efficient at running applications. it also provides a generalized execution model to support more applications. splunk: splunk can also produce graphs, alerts, summarized reports, data visualizations, and dashboards, etc., using related data. blockchain is a technology that can be used in several applications related to different industries, such as finance, supply chain, manufacturing, etc. it is primarily used in processing operations like payments and escrow. kafka is a popular streaming platform. this streaming platform is primarily known for its three core capabilities: publisher, subscriber and consumer. knime is used to draw visual data flows, execute specific steps and analyze the obtained models, results, and interactive views r is defined as the programming language, mainly used in statistical computing and graphics 6 data mining data mining extracts the useful patterns and trends from the raw data. big data technologies such as rapidminer, elasticsearch and presto can …

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it helps in analyzing the data at a very faster speed. plotly is best suited for plotting or creating graphs and relevant components at a faster speed in an efficient way. 8 real-world applications of big data technology smart city development big data technology is essential for optimizing urban infrastructure and services in smart cities, enabling real-time data analysis for efficient resource management. healthcare analytics big data facilitates advanced analytics to improve patient care, drug discovery, and public health management in the healthcare industry. 9 future of big data technology 1 enhanced data security new encryption methods and decentralized storage for improved privacy and security. 2 ai integration growing integration of artificial intelligence to analyze and derive insights from massive datasets. 3 edge computing rise of edge computing for real-time data processing and reduced latency in iot environments. 10 image1.png image2.png image3.png image4.png image5.png image6.png image7.png image8.png image9.png image10.png image11.png

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pptxgenjs presentation introduction to big data technology big data technology enables organizations to process, analyze, and interpret large and complex data sets to gain valuable insights. this innovative technology empowers decision-making, enhances operational efficiency, and drives competitive advantages. big data technologies are the software tools used to manage all types of datasets and transform them into business insights. 2 characteristics of big data volume: big data involves large volumes of data that can be structured, semi-structured, or unstructured. velocity: data is generated at an unprecedented speed, demanding real-time processing and analysis. variety: it encompasses diverse data types including text, images, videos, and more, posing challenges for storage and analysis...

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