You are previewing Professional NoSQL.

Professional NoSQL

Cover of Professional NoSQL by Shashank Tiwari Published by Wrox
  1. Cover
  2. Contents
  3. Introduction
  4. Part I: Getting Started
    1. Chapter 1: NoSQL: What It Is and Why You Need it
      1. Definition and Introduction
      2. Sorted Ordered Column-Oriented Stores
      3. Key/Value Stores
      4. Document Databases
      5. Graph Databases
      6. Summary
    2. Chapter 2: Hello NoSQL: Getting Initial Hands-on Experience
      1. First Impressions — Examining Two Simple Examples
      2. Working with Language Bindings
      3. Summary
    3. Chapter 3: Interfacing and Interacting with NoSQL
      1. If No SQL, Then What?
      2. Language Bindings for NoSQL Data Stores
      3. Summary
  5. Part II: Learning the NoSQL Basics
    1. Chapter 4: Understanding the Storage Architecture
      1. Working with Column-Oriented Databases
      2. HBase Distributed Storage Architecture
      3. Document Store Internals
      4. Understanding Key/Value Stores in Memcached and Redis
      5. Eventually Consistent Non-relational Databases
      6. Summary
    2. Chapter 5: Performing CRUD Operations
      1. Creating Records
      2. Accessing Data
      3. Updating and Deleting Data
      4. Summary
    3. Chapter 6: Querying NoSQL Stores
      1. Similarities Between SQL and MongoDB Query Features
      2. Accessing Data from Column-Oriented Databases Like HBase
      3. Querying Redis Data Stores
      4. Summary
    4. Chapter 7: Modifying Data Stores and Managing Evolution
      1. Changing Document Databases
      2. Schema Evolution in Column-Oriented Databases
      3. HBase Data Import and Export
      4. Data Evolution in Key/Value Stores
      5. Summary
    5. Chapter 8: Indexing and Ordering Data Sets
      1. Essential Concepts Behind a Database Index
      2. Indexing and Ordering in MongoDB
      3. Creating and Using Indexes in MongoDB
      4. Indexing and Ordering in CouchDB
      5. Indexing in Apache Cassandra
      6. Summary
    6. Chapter 9: Managing Transactions and Data Integrity
      2. Distributed ACID Systems
      3. Upholding CAP
      4. Consistency Implementations in a Few NoSQL Products
      5. Summary
  6. Part III: Gaining Proficiency with NoSQL
    1. Chapter 10: Using NoSQL in the Cloud
      1. Google App Engine Data Store
      2. Amazon SimpleDB
      3. Summary
    2. Chapter 11: Scalable Parallel Processing with MapReduce
      1. Understanding MapReduce
      2. MapReduce with HBase
      3. MapReduce Possibilities and Apache Mahout
      4. Summary
    3. Chapter 12: Analyzing Big Data with Hive
      1. Hive Basics
      2. Back to Movie Ratings
      3. Good Old SQL
      4. JOIN(s) in Hive QL
      5. Summary
    4. Chapter 13: Surveying Database Internals
      1. MongoDB Internals
      2. Membase Architecture
      3. Hypertable Under the Hood
      4. Apache Cassandra
      5. Berkeley DB
      6. Summary
  7. Part IV: Mastering NoSQL
    1. Chapter 14: Choosing Among NoSQL Flavors
      1. Comparing NoSQL Products
      2. Benchmarking Performance
      3. Contextual Comparison
      4. Summary
    2. Chapter 15: Coexistence
      1. Using MySQL as a NoSQL Solution
      2. Mostly Immutable Data Stores
      3. Web Frameworks and NoSQL
      4. Migrating from RDBMS to NoSQL
      5. Summary
    3. Chapter 16: Performance Tuning
      1. Goals of Parallel Algorithms
      2. Influencing Equations
      3. Partitioning
      4. Scheduling in Heterogeneous Environments
      5. Additional MapReduce Tuning
      6. HBase Coprocessors
      7. Leveraging Bloom Filters
      8. Summary
    4. Chapter 17: Tools and Utilities
      1. RRDTool
      2. Nagios
      3. Scribe
      4. Flume
      5. Chukwa
      6. Pig
      7. Nodetool
      8. OpenTSDB
      9. Solandra
      10. Hummingbird and C5t
      11. GeoCouch
      12. Alchemy Database
      13. Webdis
      14. Summary
  8. Appendix: Installation and Setup Instructions

Chapter 17

Tools and Utilities


  • Examining popular tools and utilities for monitoring and managing NoSQL products
  • Surveying log processing, MapReduce management, and search related tools
  • Demonstrating a few scalable and robust manageability related utilities

This book is about NoSQL and the objective from the very beginning was to get you familiar with the topic. The intent was not to make you an expert in a specific NoSQL product. The book exposed you to as many underlying concepts as possible and to the rich diversity offered by the different NoSQL products. I have achieved that initial goal and given you enough material on NoSQL so that you feel confident and comfortable about the basic building blocks of this ever-growing domain. This final chapter continues that effort to enhance your learning of NoSQL. Instead of focusing on more concepts though, this chapter presents a few interesting and important tools and utilities that you are likely to leverage as you adopt NoSQL in your technology stack. The list is by no means exhaustive or a collection of the best available products. It’s just a representative sample.

The chapter is structured around 14 different open-source and freely available use cases, tools, and utilities. Although each of these is related to NoSQL, they are independent of each other. This means you can read linearly through this chapter or choose to go to a specific page that covers a specific product as required.

The first couple of ...

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