Web databases and data-oriented design
The database is an essential component in most Web applications. Web databases provide data storage and search ability. Without a database to write to and read from, there would be no way to maintain data persistence. Each time a user logged off their data would be lost. Good data architecture provides much more than mere data persistence, however. In today's application environment, users generate enormous amounts of data. Processing big data and turning it into useful information for the user requires application developers to take on a data-oriented design mentality.
Apache Drill case study: A tutorial on processing CSV files
09 Jun 2016
Tutorial - Rob Terpilowski decided to take Apache Drill for a test drive and use it for processing CSV files. Here's a quick tutorial to show how you can do it to.
Choosing the right big data analysis tools
23 Mar 2016
Feature - In order to choose the right big data analysis tools, it’s important to understand the transactional and analytical data processing requirements of your systems and choose accordingly.
How Notion Baked Intelligence Into the Server to Simplify the IoT
01 Dec 2015
Feature - Here we take a look at how Notion, an IoT startup, built a sophisticated tier of server applications to empower a new generation of customizable sensors.
How collapsing the database stack improves developer productivity
10 Nov 2015
Feature - Developers are reducing development time by collapsing the database stack and focusing on customer satisfaction and not on operations overhead. Here is how they are doing it.
Growing the demand for NoSQL technology, and non-relational solutions
30 Jan 2015
Feature - While relational databases have been the stalwart of enterprise computing, more and more organizations are looking at NoSQL solutions that will free them from many of the constraints of a relational database system.
Going beyond big data processing to achieve big data understanding
04 Dec 2014
Feature - Big data solutions have given enterprises the power to handle, manage and process massive amounts of information, but how do organizations extract meaning from that information? Big data architecture is evolving to do just that.
How a growing demand for data tier scalability spawned the NoSQL movement
25 Aug 2014
Feature - There was a time when even the suggestion of storing an organization's data in anything but a relational database would seem foolish. But NoSQL has flipped that equation on its head, as organizations who are looking for speed and scalability are looking...
Visualization techniques revolutionize modern business intelligence gathering
06 Jul 2014
Feature - With so much data to be analyzed, organizations want a new way to be able to conceptualize the business intelligence they have gathered. New visualization techniques are making this happen.
The challenge of tagging for analytics in a world of unstructured text
06 Jul 2014
Feature - Many organizations are managing massive amounts of information in their big data systems, but handling that inflow, and making it make sense is a massive challenge. Tagging is one solution, but how does one tag unstructured text? It's a problem that is...
Discovering data by structuring unstructured text
30 May 2014
Video - Bryan Bell, executive vice president with Expert System, discusses the art of discovering data by structuring unstructured text.