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Hands-On Big Data Modeling

You're reading from   Hands-On Big Data Modeling Effective database design techniques for data architects and business intelligence professionals

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781788620901
Length 306 pages
Edition 1st Edition
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Concepts
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Authors (3):
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James Lee James Lee
Author Profile Icon James Lee
James Lee
Tao Wei Tao Wei
Author Profile Icon Tao Wei
Tao Wei
Suresh Kumar Mukhiya Suresh Kumar Mukhiya
Author Profile Icon Suresh Kumar Mukhiya
Suresh Kumar Mukhiya
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Table of Contents (17) Chapters Close

Preface 1. Introduction to Big Data and Data Management 2. Data Modeling and Management Platforms FREE CHAPTER 3. Defining Data Models 4. Categorizing Data Models 5. Structures of Data Models 6. Modeling Structured Data 7. Modeling with Unstructured Data 8. Modeling with Streaming Data 9. Streaming Sensor Data 10. Concept and Approaches of Big-Data Management 11. DBMS to BDMS 12. Modeling Bitcoin Data Points with Python 13. Modeling Twitter Feeds Using Python 14. Modeling Weather Data Points with Python 15. Modeling IMDb Data Points with Python 16. Other Books You May Enjoy

Aerospike

Aerospike is one of several NoSQL databases architectures that has been developed for high-speed performance, scalability, and reliability. Like Redis, this is also a key-value pair architecture, and is optimized for flash storage. The Aerospike database is written in C and has three layers: the data layer, a self-managed distribution layer, and a cluster-aware client layer. The distribution layer is replicated across the datacenters to enforce consistency.

Some of the important features of Aerospike are summarized as follows:

  • Use of hybrid memory: Aerospike utilizes flash storage in parallel on one machine to perform reads at sub-millisecond latencies at a very high throughput in the presence of a heavy write load. The use of an SSD drive or flash drive enforces high vertical scale-up.
  • Aerospike has a great ability for planning and scaling up for cluster management...
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