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This document provides an introduction to big data, including its defining characteristics of volume, velocity, variety, and veracity. It notes that over 2.5 quintillion bytes of data are created daily from various sources, posing challenges for storage, processing, and analysis due to the massive volume. The document also lists 10 common uses of big data in business analytics, machine learning, the Internet of Things, personalized marketing, healthcare, cybersecurity, smart cities, financial analysis, environmental monitoring, and data-driven decision making. Finally, it names several major companies that utilize big data technology and hire graduates with big data skills.

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Best 10 Big Data Hadoop Certification Courses in Bangalore Know more about the course….
Introduction of big data science Big data refers to the massive volume of structured and unstructured data that is generated at an unprecedented rate in today’s digital age. This data encompasses a wide range of sources, including social media interactions, online transactions, sensor data, mobile devices, and more. Big data is characterized by its high volume, velocity, variety, and veracity, posing both challenges and opportunities for businesses and organizations across various industries. One of the defining characteristics of big data is its volume. The amount of data being generated is staggering, with estimates suggesting that over 2.5 quintillion bytes of data are created every day. This data is generated from various sources such as social media platforms, e-commerce websites, and IoT devices. The sheer volume of data presents challenges in terms of storage, processing, and analysis.
Scope of Big Data 1. Business Analytics 2. Machine Learning 3. Internet of things 4. Personalised Marketing and Customer Experience 5. Healthcare and precision medicine 6. Cyber security and fraud detection. 7. Smart Cities and Urban Planning 8. Financial Analysis and Risk Management 9. Environmental Monitoring and Sustainability 10 Data Driven Decision Making
CompaniesthatuseBigDATATechnology Amazon,Google,Netflix,Uber,Facebook,Airbnb, Walmart,Procter&Gamble,AmericanExpress, Boeing
Untitled presentation (1).pptx
Companies that Hire Big Data Graduates Google, Microsoft,Amazon Facebook, Netflix, IBM,Walmart Linkedin

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Untitled presentation (1).pptx

  • 1. Best 10 Big Data Hadoop Certification Courses in Bangalore Know more about the course….
  • 2. Introduction of big data science Big data refers to the massive volume of structured and unstructured data that is generated at an unprecedented rate in today’s digital age. This data encompasses a wide range of sources, including social media interactions, online transactions, sensor data, mobile devices, and more. Big data is characterized by its high volume, velocity, variety, and veracity, posing both challenges and opportunities for businesses and organizations across various industries. One of the defining characteristics of big data is its volume. The amount of data being generated is staggering, with estimates suggesting that over 2.5 quintillion bytes of data are created every day. This data is generated from various sources such as social media platforms, e-commerce websites, and IoT devices. The sheer volume of data presents challenges in terms of storage, processing, and analysis.
  • 3. Scope of Big Data 1. Business Analytics 2. Machine Learning 3. Internet of things 4. Personalised Marketing and Customer Experience 5. Healthcare and precision medicine 6. Cyber security and fraud detection. 7. Smart Cities and Urban Planning 8. Financial Analysis and Risk Management 9. Environmental Monitoring and Sustainability 10 Data Driven Decision Making
  • 6. Companies that Hire Big Data Graduates Google, Microsoft,Amazon Facebook, Netflix, IBM,Walmart Linkedin