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.
Database Section Index
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.
Learn six of the most important features that a data validation service provider should offer.
Learn how to improve the performance of an application that uses the Java Persistence API, by modifying the second level cache mode settings.
Learn how to handle concurrent access to entity data, and the locking strategies available to JPA API.
Big data platforms and ecosystems emerged from the need to efficiently handle data volumes, velocities, and varieties that had not previously existed.
In today’s technology world, Big Data is a hot IT buzzword. To mitigate the complexity in processing large volumes of data, Apache developed Hadoop – a reliable, scalable and distributed computing framework. Read on to learn more.
Learn about new data persistence technologies including NOSQL and NewSQL databases as well as about CAP theorem, useful data access patterns, and good practices applicable to enterprise application programming with Big Data.
Learn about Big Data processing techniques addressing, but not limited to, various BI (business intelligence) requirements such as reporting, batch analytics, online analytical processing (OLAP), data mining, text mining, complex event processing (CEP), and predictive analytics.
Today, developers interested in Big Data can easily be lost in the jungle of numerous new technologies. Get a clear view on the Big Data technology landscape and learn to pick the most suited techniques for your Java software projects.
Learn how to improve your SQL query performance with these ten tips, including re-writing of queries and the creation and use of indexes.
Anoop Kumar shares his top 10 transformations to manage and change data in SSIS.