Big Data: From A to Z
Big Data: From A to Z
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Big Data: From A to Z

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Completed on 2019-10-02

About the Book

For complete beginners, Big Data: From A to Z hopes to demystify the tools Data Scientists and Data Engineers use to build platforms and models.

About the Author

Helen Anderson
Helen Anderson

A Data Analyst and Product Manager from Wellington, New Zealand, Helen leads projects that empower users and make businesses more efficient.

In 2019 she was named as one of AWS’s very first Data Heroes, created to represent a “community of developers, IT leaders, and educators with a shared passion for analytics and database technologies.” 

Table of Contents

  • Big Data: From A to Z
  • Athena
  • Batch Data Processing
  • Compute
  • Docker
  • Ethical Guidelines
  • Fuzzy Logic
  • GPU
  • Hadoop
  • Image Recognition
  • Jupyter Notebook
  • Kaggle
  • Linear Regression
  • MapReduce
  • Natural Language Processing
  • Overfitting
  • Pattern Recognition
  • Quantitative v Qualitative
  • Real Time
  • Spark
  • Testing
  • Unstructured Data
  • Volume and Velocity
  • Web Scraping
  • XML
  • NumPy
  • ZooKeeper

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