Structured, semi-structured, and unstructured data

Contents

• Introduction Introduction

  • How big data shapes AI

    1m 46s
• 1. Defining Big Data 1. Defining Big Data

  • The volume, velocity, and variety of big data

    5m 51s
  • Artificial intelligence and machine learning

    4m 35s
  • Social media and the Internet of Things

    5m 52s
  • Data warehouses, data lakes, and the cloud

    8m 25s
  • Edge computing and fog computing

    4m 33s
• 2. How Is Big Data Used? 2. How Is Big Data Used?

  • Big data for business strategy

    6m 49s
  • Big data for customer interactions

    4m 28s
  • Big data for applications

    4m 41s
• 3. Big Data and Data Science 3. Big Data and Data Science

  • Ten ways big data is different from small data

    5m 59s
  • The three facets of data science

    2m 22s
  • Data science without big data

    2m 41s
  • Big data without data science

    3m 20s
• 4. Ethics in Big Data 4. Ethics in Big Data

  • Big data and privacy

    5m 52s
  • Data governance

    6m 2s
• 5. Data Logistics 5. Data Logistics

  • Structured, semi-structured, and unstructured data

    6m 6s
  • Batch processing vs. stream processing

    4m 22s
  • Distributed storage and processing

    3m 8s
  • An evolving data landscape

    5m 48s
• 6. Analyzing Big Data 6. Analyzing Big Data

  • Challenges with data preparation

    4m 57s
  • Visualizing big data

    5m 13s
  • Data mining

    4m 39s
  • Text analytics

    4m 18s
  • Sentiment analysis

    4m 48s
  • Predictive analytics

    4m 7s
  • Anomaly detection

    3m 59s
• Conclusion Conclusion

  • Next steps

    2m 56s