www.izeonittraining.com
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BIG DATA
ANALYTICS
UNLOCKING INSIGHTS FROM
MASSIVE DATA SETS
IZEON IT
TRAINING
Big Data refers to 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?
Importance of Big Data 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)
• Storage: Hadoop Distributed File
System (HDFS)
• Processing: Apache Spark,
MapReduce
• Databases: NoSQL (e.g.,
MongoDB, Cassandra)
• Streaming: Apache Kafka, Flink
Big Data Technologies
Benefits Of Using A
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
• Healthcare: Patient monitoring and
predictive diagnostics
• Finance: Fraud detection and risk
management
• Retail: Personalized marketing and
inventory management
• Smart Cities: Traffic, energy usage,
public safety
Use Cases
• Data privacy and security
• Talent gap in data engineering and
analytics
• Integrating with legacy systems
• High costs of infrastructure
Challenges
• Integration with AI and ML
• Edge computing and real-time
analytics
• More emphasis on data ethics and
governance
Future of Big Data
• Big Data Analytics is transforming
industries
• Requires the right tools, skills, and
strategies
• Key to unlocking actionable business
insights
Conclusion
Contact Us
Izeon IT Training is the best software training Institute in
Chennai. With over 17 years of experience in IT training and
placements, we help students master the latest technical skills
through hands-on, real-world projects.
Join us to kick start your career in the tech industry with the
guidance and expertise you need to succeed!.
bavya@izeoninnovative.com
+91 8637675438
www.izeonittraining.com
IZEON IT TRAINING
www.izeonittraining.com
Visit Our Website
THANK YOU
F O R Y O U R A T T E N T I O N

Big Data Analytics AT IZEON INFORMATION TECHNOLOGY.pptx

  • 1.
    www.izeonittraining.com Visit Our Website BIGDATA ANALYTICS UNLOCKING INSIGHTS FROM MASSIVE DATA SETS IZEON IT TRAINING
  • 2.
    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.
    Contact Us Izeon ITTraining is the best software training Institute in Chennai. With over 17 years of experience in IT training and placements, we help students master the latest technical skills through hands-on, real-world projects. Join us to kick start your career in the tech industry with the guidance and expertise you need to succeed!. bavya@izeoninnovative.com +91 8637675438 www.izeonittraining.com
  • 11.
    IZEON IT TRAINING www.izeonittraining.com VisitOur Website THANK YOU F O R Y O U R A T T E N T I O N