big data analytics about the from big data 1.0 to 2.0

big data analytics

1. From Big Data 1.0 to Big Data 2.0 Understanding the evolution and impact of Big Data

2. Analogy with Web Technologies • Web 1.0: Businesses built web presence, e-commerce, efficiency • Web 2.0: Interactive web, social networking, user voice • Big Data 1.0: Focus on processing large data to support operations • Big Data 2.0: Innovate and create new value using massive data

3. Big Data 1.0 vs Big Data 2.0 Big Data 1.0: • Build infrastructure and processing capabilities • Improve efficiency of existing operations Big Data 2.0: • Ask: What can we do better now? • Golden era of data science: innovation, deep analytics • Examples: Real-time analytics, recommendations, predictive insights

4. Pioneers Applying Big Data 2.0 • Amazon: Product ratings, reviews, personalized recommendations • Online advertisers: Real-time bidding, billions of ad impressions/day • Insight: These industries indicate future trends in data science

5. Evolution from Big Data 1.0 to 2.0 Big Data 1.0 [Build infrastructure & improve efficiency] │ ▼ Big Data 2.0 [Innovation, predictive analytics, recommendations, real-time insights]

6. Summary • Big Data 1.0: Infrastructure, efficiency, support for existing operations • Big Data 2.0: Innovation, predictive analytics, real-time decisions • Early pioneers: Amazon, online advertising, interactive systems • Future: Broader and deeper application of data science across industries