Big Data refersto extremely large and complex
data sets that are too vast or varied to be
handled by traditional data processing tools. It is
often described using the 3 Vs:
• Volume – Massive amounts of data
• Velocity – Data generated at high speed
• Variety – Different formats like text, images,
videos, etc.
What is Big Data?
3.
Importance of BigData Analytics
Sources of Big Data
• Data-driven decision-making
• Competitive advantage
• Insights into customer behavior, market trends,
and operations
• Social media platforms (e.g., Twitter, Facebook)
• IoT devices and sensors
• Transactional data (e.g., e-commerce, banking)
• Web logs and clickstream data
• Public datasets (e.g., weather, traffic)
4.
• Storage: HadoopDistributed File
System (HDFS)
• Processing: Apache Spark,
MapReduce
• Databases: NoSQL (e.g.,
MongoDB, Cassandra)
• Streaming: Apache Kafka, Flink
Big Data Technologies
5.
Benefits Of UsingA
Business Analytics Process
Big Data Analytics Process Types of Big Data Analytics Benefits of Big Data Analytics
1.Data Collection
2.Data Storage
3.Data Cleaning & Preprocessing
4.Data Analysis (Descriptive,
Predictive, Prescriptive)
5.Data Visualization
• Descriptive: What happened?
• Diagnostic: Why did it happen?
• Predictive: What will happen?
• Prescriptive: What should be
done?
• Improved customer experience
• Enhanced decision-making
• Operational efficiency
• Real-time analytics
6.
• Healthcare: Patientmonitoring and
predictive diagnostics
• Finance: Fraud detection and risk
management
• Retail: Personalized marketing and
inventory management
• Smart Cities: Traffic, energy usage,
public safety
Use Cases
7.
• Data privacyand security
• Talent gap in data engineering and
analytics
• Integrating with legacy systems
• High costs of infrastructure
Challenges
8.
• Integration withAI and ML
• Edge computing and real-time
analytics
• More emphasis on data ethics and
governance
Future of Big Data
9.
• Big DataAnalytics is transforming
industries
• Requires the right tools, skills, and
strategies
• Key to unlocking actionable business
insights
Conclusion
10.
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