Lotus Approach Tutorial

From Big Data to NoSQL: The ReadWriteWeb Guide to Data Terminology (Part 3)

It is difficult to keep track of all the terms of related databases to hear these days. What is a "big data"? What is NoSQL and why your developers are so interested in her? And now "NewSQL"? Where memory database integrated into all this? In this series, we'll unravel the tangle of words and tell you what you need to know.

In the first part, we covered the data, large, databases, relational databases and other issues. In the second part, we talked about data warehousing, compliance ACID, distributed databases and more. Now we will cover the database non-relational NoSQL and related concepts.

The theorem of the CAP has been proposed by computer scientist Eric Brewer of the University of California, Berkeley and later proved by Seth Gilbert and Nancy Lynch of MIT.

Most databases are relational not become popular in recent years are capable of being built as distributed databases as well, and often the reason they are used. The CAP theorem tells us, however, that we can not always have the two levels of consistency and high availability ACID.Many non-relational databases, then use a different standard for consistency: BASE, which means basically Available Soft-state Eventually.

In a system of distributed database, different copies of the same data set can exist on multiple servers. We obviously want these data sets to be consistent. But one of the main points of having multiple servers to improve performance. We do not necessarily want to tie up each server each time a database table is updated. So we settle for "eventual consistency". "Possible" reality usually means less than one second. The concept is further discussed in my here.

Map and reduce methods for handling computer data. MapReduce is a distributed computing system created by Google specifically for working with large data sets and stores the data distributed. It is named after these two methods of computing.

Apache Hadoop is an open source implementation of ideas from an article published on the Google MapReduce. MapReduce is used in conjunction with a data store called BigTable, we'll explain below. Hadoop has its own data store called HBAs, which is based on the ideas explained in a paper on BigTable.

The collection of computers that include a distributed computing system is called a "cluster". Each computer in the cluster is considered a node. "

Java Tutorial - Java Script : The JDBC-ODBC Bridge

ODBC, Microsoft’s common interface for accessing SQL databases, is managed on a Windows system by the ODBC Data Source Administrator. This is run from Control Panel on a Windows system; to get there on most versions of Windows, click Start, Settings, Control Panel, ODBC Data Sources. On Windows XP, choose Start, Control Panel, Performance and Maintenance in Category View or Start, Control Panel in Classic View and then choose Administrative Tools, Data Sources (ODBC). In Figure 18.1, the Drivers tab of the ODBC Data Source Administrator dialog box lists all the ODBC drivers present on the system. Many of the drivers are specific to a database company’s format, such as the Microsoft Access Driver. The JDBC-ODBC bridge allows JDBC drivers to be used as ODBC drivers by converting JDBC method calls into ODBC function calls. Using the JDBC-ODBC bridge requires three things: ODBC data sources can be set up from within some database programs. For example, when a new database file is created in Lotus Approach, users have the option of associating it with an ODBC driver All ODBC data sources must be given short, descriptive names. The name is used inside Java programs when a connection is made to the database that the source refers to. On a Windows system, after an ODBC driver is selected and the database is created, they show up in the ODBC Data Source Administrator. Figure 18.2 shows an example of this for a data source named WorldEnergy. Other setup work might be needed depending on the ODBC drivers present on your system, if any. Consult the documentation included with the ODBC driver. After you have downloaded world20.mdb to your computer or found another database that’s compatible with the ODBC drivers on your system, the final step in getting the fileready for JDBC-ODBC is to create a data source associated with it.

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