Forbes: Get To Know Relational And NoSQL Databases That Power Big Data Analytics
Get To Know Relational And NoSQL Databases That Power Big Data Analytics
Linux Journal: Christof Wittig and Ted Neward on Object-Oriented Language Mapping to Databases
Relational databases are really great for storing and retrieving data, but sometimes, they aren't quite up to the task. Joe Celko, whose SQL for Smarties books are among my favorites, dedicated an ...
Visual Studio Magazine: Converting JSON Objects to Relational Tables: Flattening the Object
db4o is an open-source, object-oriented database from db4objects. It is embeddable, in the sense that the entire db4o engine is supplied as a single library that links into your application. Versions ...
Get an overview of JDBC's architecture, then learn how to connect to a database and handle SQL queries and responses with PreparedStatements, transactions, connection pooling, and more. JDBC (Java ...
A database that maintains a set of separate, related files (tables), but combines data elements from the files for queries and reports when required. The concept was developed in 1970 by Edgar Codd, ...
If you want to know what’s what in Big Data analytics today, you’ve got to know the basics of NoSQL databases, and how appropriate NoSQL databases facilitate Big Data analytics. What are the most ...
The need to persist data created at runtime is as old as computing. And the need to store object-oriented data cropped up when object-oriented programming became pervasive. Currently, most modern, ...
Here's how you can use SQL Server's OpenJson function to dismantle JSON structures into relational tables targeting either transactional systems or data warehouses. JSON is great for moving data ...