Oracle NoSQL Database: Real-Time Big Data Management for the Enterprise
256
Oracle NoSQL Database: Real-Time Big Data Management for the Enterprise
256eBook
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Overview
Enable highly reliable, scalable, and available data. Oracle NoSQL Database: Real-Time Big Data Management for the Enterprise shows you how to take full advantage of this cost-effective solution for storing, retrieving, and updating high-volume, unstructured data. The book covers installation, configuration, application development, capacity planning and sizing, and integration with other enterprise data center products. Real-world examples illustrate the concepts presented in this Oracle Press guide.
- Understand Oracle NoSQL Database architecture and the underlying data storage engine, Oracle Berkeley DB
- Install and configure Oracle NoSQL Database for optimal performance
- Develop complex, distributed applications using a rich set of APIs
- Read and write data into the Oracle NoSQL Database key-value store
- Apply an Avro schema to the value portion of the key-value pair using Avro bindings
- Learn best practices for capacity planning and sizing an enterpriselevel Oracle NoSQL Database deployment
- Integrate Oracle NoSQL Database with Oracle Database, Oracle Event Processing, and Hadoop
Code examples from the book are available for download at www.OraclePressBooks.com.
Product Details
| ISBN-13: | 9780071816540 |
|---|---|
| Publisher: | McGraw Hill LLC |
| Publication date: | 12/06/2013 |
| Sold by: | Barnes & Noble |
| Format: | eBook |
| Pages: | 256 |
| File size: | 12 MB |
| Note: | This product may take a few minutes to download. |
About the Author
Maqsood Alam is a Director of Product Management at Oracle and has over 17 years of experience in architecting, building and evangelizing enterprise and system software. Maqsood is a pure technologist at heart and has a wide range of expertise, ranging from parallel and distributed systems to high performance database applications and Big Data. His current initiatives at Oracle are focused on Oracle NoSQL Database, Oracle Exadata, Oracle Database 12c and the Oracle Big Data Appliance. He is the coauthor on the book Achieving Extreme Performance with Oracle Exadata published by McGraw-Hill, and also of several whitepapers and best practices dealing with various Oracle technologies. He is an Oracle Certified Professional and holds a Masters and a Bachelors degree in Computer Science.
Aalok Muley is a Senior Director for Database Server Technologies at Oracle. He is responsible for driving adoption of Oracle's family of database products- Oracle NoSQL Database, Oracle Big Data Connectors, Oracle Database 12c and engineered systems such as Oracle Big Data Appliance and Oracle Exadata. Aalok has over 19 years of experience; he has lead teams on database industry standard benchmarks, database development and Fusion Middleware technologies. Aalok Muley has participated on the technology integration of many Oracle acquisitions. As part of the product development organization, he is currently focused on working closely with partners and customers to design high-throughput, highly-available enterprise-grade solutions. Aalok holds a Master’s degree in Computer Engineering from Worcester Polytechnical Institute, MA.
Chaitanya Kadaru is accomplished software professional with over 12 years of industry experience. He spent the majority of his time with Oracle working in databases, middleware and oracle applications in various roles of developer, evangelist, pre-sales, consulting and training. He recently co-founded Extuit LLC, a premier oracle consulting company and has architected solutions involving engineered systems like Exadata, Exalogic and Bigdata for a wide range of customers. He is currently responsible for a large scale oracle DB consolidation to Exadata for a large financial services company. Chaitanya Kadaru holds a Bachelor’s degree in Engineering from BITS, Pilani and a Master’s degree in Information Systems from Carnegie Mellon University.
Ashok Joshi is the senior director of development for the Oracle NoSQL Database, Berkeley DB and Database Mobile Server. Ashok has been involved in database systems technology for over two decades in an individual contributor role as well as a management role. Ashok has made extensive contributions to indexing, concurrency control, buffer management, logging and recovery and performance optimizations in a variety of products including Oracle Rdb, Oracle Database and Sybase SQL Server. He is the author or co-author of several papers as well as 12 patents on database technology. Ashok graduated from the Indian Institutes of Technology, Bombay with a bachelor’s degree in Electrical Engineering and a Master’s degree in Computer Sciences from the University of Wisconsin, Madison.
Table of Contents
Foreword xv
Acknowledgments xvii
Introduction xix
1 Overview of Oracle NoSQL Database and Big Data 1
Introduction to NoSQL Systems 2
Brief Historical Perspective 3
Big Data and NoSQL: Characteristics and Architectural Trade-Offs 5
Types of Big Data Processing 6
NoSQL Database vs. Relational Database 7
Types of NoSQL Databases 8
Key-Value Stores 8
Document Stores 9
Graph Stores 9
Column Stores 9
Big Data Use Cases 10
Oracle's Approach to Big Data 12
Acquire 13
Organize 14
Analyze 15
Oracle Engineered Systems for Big Data 17
Summary 21
2 Introducing Oracle NoSQL Database 23
Oracle Berkeley DB 24
Oracle NoSQL Database 27
Database System Architectures 29
Partitioning and Sharding 31
Availability 33
Eventual Consistency 35
Durability-Making Changes Permanent 36
Transactions 38
Data Modeling 39
Performance 41
Administration 41
Integration with Other Products 42
Licensing 43
Summary 43
3 Oracle NoSQL Database Architecture 45
High-Level Architecture and Terminology 46
Intelligent Client Driver 47
Shards, Storage, and Network Topology 50
Hashing, Partitions, Data Distribution 53
Changing the Number of Shards 55
Changing the Replication Factor 59
Considerations for Multiple Datacenters 60
Storing Records and the Flexible Data Model 63
Log-Structured Storage 67
Durability 69
ACID Transactions and Distributed Transactions 72
Summary 74
4 Oracle NoSQL Database Installation and Configuration 75
Oracle NoSQL Database Installation 76
Download Oracle NoSQL Database Software 78
Software Installation 78
Oracle NoSQL Database Administration Service 80
Create the Boot Configuration 82
Perform Sanity Checks 87
Oracle NoSQL Database Configuration 87
Plans 88
Configuration Steps 89
Automating the Configuration Steps 95
Verifying the Deployment 96
Summary 99
5 Getting Started with Oracle NoSQL Database Development 101
Developing on KVLite 102
A Basic Hello World Program 105
How to Model Your Key Space 108
The Basics of Reading and Writing a Single Key-Value Pair 111
Consistency and Durability from the Programmer's Perspective 112
Durability 113
Consistency 115
Summary 118
6 Reading and Writing Data 119
Development Environment Setup 120
Writing Records 121
Basic API Functionality 122
How to Specify Durability in Write API Calls 125
Reading Records 131
Read One Record or Multiple Records in Many Ways 132
Introduction to API for Enforcing Read Consistency 139
Exception Handling for Read Operations 147
Deleting Records 147
Updating Records Based on a Version 150
Summary 152
7 Advanced Programming Concepts: Avro Schemas and Bindings 153
Avro Schema 154
Schema Evolution 158
Managing Avro Schemas 162
Avro Bindings 165
Specific Bindings 167
Generic Bindings 174
JSON Bindings 181
Summary 184
8 Capacity Planning and Sizing 185
Gather Sizing Requirements 186
Application Characteristics 187
Hardware Specifications 192
Capacity Planning and Sizing 193
Size a Representative Shard 194
Determine the Total Number of Shards and Partitions 203
Summary 205
9 Advanced Topics 207
Hadoop Integration 208
RDF Graph 211
Integration with Complex Event Processing 213
Database External Tables 215
Define an External Table 217
Edit the Configuration File 218
Publish the Configuration 218
Test the nosql_stream Script 218
Use the External Table to Read Data from Oracle NoSQL Database 219
Summary 219
Index 221