A decade ago, Microsoft Access provided a convenient and easy-to-learn project platform. Now, however, another answer is Microsoft MVC 5.
Database Section Index
Lead: Learn how the new "Hadoop" framework is becoming the future BI platform to handle the huge size of data with faster processing time.
Here are ten great tips to make working with Hibernate more productive.
Wake up from your accustomed query types and learn to use Hibernate in your database manipulations.
Discover the concept of data presentation in the business intelligence world. Also, learn about various ways to present data.
Explore the importance of data analysis in an end-to-end BI system.
Learn about more advanced features Laravel has to offer, such as application testing and deployment.
Learn more about various Business Intelligence components, architecture, data modeling, and its importance.
Laravel is an increasingly popular PHP framework that can help you develop better, more sustainable code for a shorter amount of time. Read on to see what features it has to offer.
Anoop Agarwal discusses the fundamentals of Business Intelligence (BI) and various data Warehouse design approaches. In this first article of the series, he shares how Big Data is different from traditional BI.
Every environment has its share of tedious, time-consuming but brain-dead code that’s required to get this or that working as it should. Tedious and time-consuming tasks are what computers do best. Why should you have to? See how the Microsoft T4 Templates make this possible.
The crux of the relational database management system is in the idea of establishing relationship among entities. Discover how Hibernate allows you to model association between entities from Java code, without bothering with the SQL.
The effort put into data modeling is relative to the size of the project. Starting with a proper set of data models allows enhancements as the business needs grow and change.
Big Data represents all kinds of opportunities for all kinds of businesses, but collecting it, cleaning it up, and storing it can be a logistical nightmare.
Vipul Patel takes a look at Azure HDInsight, a service used to manage Hadoop clusters on Azure, Microsoft’s cloud computing platform.
Use data quality services (DQS) for cleansing and matching source data via business rules.
Learn how ORM (Object Relational Mapping) can help map objects into a database as if you were no longer working with records of the relational model but objects in an object oriented model.
The RowSet interface is an extension of JDBC ResultSet and is a part of the javax.sql package. Read on to learn what RowSet is all about and how to implement it in Java.
JSP, Servlet and JDBC are a popular combination for creating dynamic web pages and applications with extensive data processing. Read on to learn more.
Learn how to convert Java objects to JSON format, save it to a file, and then convert it back to an object.
Learn how to manipulate database records with the help of the Java Database Connectivity (JDBC) API.
How do you deploy big data applications organization-wide to leapfrog competition, win the hearts of customers, and drive revenue by drawing well-informed, real-time conclusions?
JDBC acts as a translator between Java applications and the native language of a database. Learn how the JDBC driver paves the way into the application design consideration of database programming in Java.
Developers, team leaders, or R&D managers have a lot to gain by making their DBAs more productive.
Manoj Debnath provides an overview of how to parse XML documents using JAXB, SAX, and DOM.