1. Home
  2. Disclaimer
  3. Required Tools
  4. 1. Big Data Overview
    1. 1.1. Introduction
    2. 1.2. Job Opportunities
    3. 1.3. What is Data?
    4. 1.4. How does it help?
    5. 1.5. Types of Data
    6. 1.6. The Big V's
      1. 1.6.1. Variety
      2. 1.6.2. Volume
      3. 1.6.3. Velocity
      4. 1.6.4. Veracity
      5. 1.6.5. Other V's
    7. 1.7. Trending Technologies
    8. 1.8. Big Data Concerns
    9. 1.9. Big Data Challenges
    10. 1.10. Data Integration
    11. 1.11. Scaling
    12. 1.12. Cap Theorem
    13. 1.13. Optimistic Concurrency
    14. 1.14. Eventual Consistency
    15. 1.15. Concurrent vs Parallel
    16. 1.16. GPL
    17. 1.17. DSL
    18. 1.18. Big Data Tools
    19. 1.19. NO Sql Databases
    20. 1.20. Learning Big Data means?
  5. 2. Developer Tools
    1. 2.1. Introduction
    2. 2.2. UV
    3. 2.3. Other Python Tools
    4. 2.4. Duck DB
    5. 2.5. JQ
  6. 3. Data Format
    1. 3.1. Introduction
    2. 3.2. Common Data Formats
    3. 3.3. JSON
    4. 3.4. Parquet
    5. 3.5. Arrow
    6. 3.6. Delta
    7. 3.7. SerDe
  7. 4. Protocol
    1. 4.1. Introduction
    2. 4.2. HTTP
    3. 4.3. Monolithic Architecture
    4. 4.4. Statefulness
    5. 4.5. Microservices
    6. 4.6. Statelessness
    7. 4.7. Idempotency
    8. 4.8. REST API
    9. 4.9. API Performance
    10. 4.10. API in Big Data world
  8. 5. Advanced Python
    1. 5.1. Functional Programming Concepts
    2. 5.2. Decorator
    3. 5.3. Python Classes
    4. 5.4. Unit Testing
    5. 5.5. Data Frames
    6. 5.6. Error Handling
    7. 5.7. Logging
  9. Tags

Big Data Tools & Techniques

[Avg. reading time: 3 minutes]

Big Data Overview

  1. Introduction
  2. Job Opportunities
  3. What is Data?
  4. How does it help?
  5. Types of Data
  6. The Big V’s
    1. Variety
    2. Volume
    3. Velocity
    4. Veracity
    5. Other V’s
  7. Trending Technologies
  8. Big Data Concerns
  9. Big Data Challenges
  10. Data Integration
  11. Scaling
  12. Cap Theorem
  13. Optimistic Concurrency
  14. Eventual Consistency
  15. Concurrent vs Parallel
  16. GPL
  17. DSL
  18. Big Data Tools
  19. NO Sql Databases
  20. Learning Big Data means?

#introduction #bigdata #chapter1Ver 6.0.1