One not-so-convoluted way and a favorite among the developer community is through data serialization. While there are enough data serialization formats out there to bury the Burj Khalifa, they all mostly fall into two categories:. Each has benefits, cons, and appropriate use cases. Back in the early days of the interwebs, some really smart fellows decided to put together a standard language which every system could read and creatively named it Standard Generalized Markup Language, or SGML for short.
SGML was incredibly flexible and well defined by its publishers. All three fall under the SGML specification, but are subsets with stricter rules and shorter flexibility. Eventually, people started seeing a great deal of benefit in having very small, concise, easy to read, and easy to generate data that could be shared programmatically between systems with very little overhead.
A Super Serious Segment About Sets, Subsets, and Supersets of Sample Serialization
Around that time, JSON was born and was able to fulfil all requirements. Some outdated systems still use it today, but using it to pass data around tends to be overkill for the web. However, it is really, and I mean ridiculously, hard to create a system that can read it to specification. Easy to read, reason about, write, and code a system that can read and write.
But consider this example:. Impossible to read, understand, or reason about. Writing code that can consume and understand this would cost at least 36 heads of hair and pounds of coffee grounds. The format is easy to write by both human and machine, fairly easy to parse with strict rules in the specification, and flexible—allowing deep nesting of data, all of the primitive data types, and interpretation of collections as either arrays or objects.
JSON became the de facto standard for transferring data from one system to another. Nearly every language out there has built-in functionality for reading and writing it. JSON syntax is straightforward. All keys must be wrapped in double quotes:. This should make complete sense to you. JSON is king right now, and the rest of this article will go into other language formats that are nothing more than JSON boiled down in an attempt to be either more concise or more readable by humans, but follow very similar structure.
For each area of specialization there are equally specialized how-to books and manuals. O'Reilly's Oracle Essentials claims a unique place among these books. Rather than focusing on one area, the book explains the foundational concepts of the Oracle technology and the core technical and business aspects of using it. The new edition of this classic book, Oracle Essentials, 3rd Edition: Oracle Database 10 g, distills a vast amount of knowledge into an easy-to-read volume covering every aspect of the Oracle database.
Readers of all levels will learn about Oracle's features and technologies, including the product line, architecture, data structures, networking, concurrency, tuning, and much more.
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Featuring focused text, abundant illustrations, and helpful hints, the new edition offers a valuable overview of Oracle's Database 10 g --the industry's first database to support grid computing. Recent releases such as Oracle 9 i and 8 i are also covered. The book contains chapters on:.
Army Corps of Engineers. Joseph Rayman leads the Oracle Consulting Business Intelligence Practice in North America with over 20 years of business experience in a vast array of industries, including financial services, manufacturing, retail, telecommunications, healthcare, and federal government. His technical and business leadership spans enterprise architecture design, enterprise data modeling, VLDB system tuning, data warehouse design, data mining, and quality assurance activities for data warehouse practices.
Prior to joining Oracle, Joe designed and deployed business intelligence and statistical analysis solutions for a large food manufacturer and provided real-time trading and analysis solutions for a major international financial organization. Greenwald currently works for Ingres Corporation. Stackowiak is a data warehousing specialist at Oracle Corporation in Chicago. He works with Oracle's largest customer in the central area of the U. Stern has more than 11 years of IT experience including senior positions in consulting, systems architecture, and technical sales.
Show More Table of Contents Preface xi 1. See All Customer Reviews. Shop Books. Read an excerpt of this book! Add to Wishlist.
JSON vs XML vs TOML vs CSON vs YAML
USD Sign in to Purchase Instantly. Explore Now. Buy As Gift. Overview An enormous system comprising myriad technologies, options, and releases, Oracle's complexities have spawned numerous areas of specialization. The book contains chapters on: Oracle products, options, and overall architecture for Oracle 10 g and prior recent releases Installing and running Oracle: how to configure, start up, and shut down the database, and various networking issues Oracle data structures, datatypes, and ways of extending datatypes, with an introduction to Oracle objects e.
This book is the perfect all-in-one source for understanding the complexities and capabilities of Oracle. Show More. Table of Contents Preface xi 1. Additional Resources Index
- Estimating Software Costs.
- The Correspondence and Public Papers of John Jay - Volume I.
- Shambling With the Stars.
- Tashkent Maneuvers between Moscow, Washington, and Beyond (On Wider Europe).
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