I just want to say one word to you. Just one word: DomainExpert™.

Well, I kid because I'm obviously going to say more words. But the most important word for today is DomainExpert.

DomainExpert is the newest breakthrough in analytics, and one of the big advancements delivered in Infobright® Enterprise Edition 4.0, announced today. Developed exclusively by Infobright, this technology can slash query  response time by using specific intelligence about machine-generated data to automatically optimize how data is stored and how queries are processed. In addition, users can add their own domain knowledge to extend this capability to match their specific needs.

So, what does this mean to your business?

New! Infobright Enterprise Edition 4.0 Super-Charges Data Analytics

We're pleased to announce Infobright Enterprise Edition (IEE) 4.0. IEE 4.0 delivers huge gains in ad-hoc query performance and load speed for machine-generated data, today's fastest-growing category of Big Data. IEE 4.0 and the new Distributed Load Processor will be available within 30 days.

Infobright 4.0 – New Capabilities:

• DomainExpert technology: By adding intelligence about a particular data domain—such as web, financial services or telecom—the Infobright database is automatically optimized for analytic performance. In release 4.0, online data types such as email addresses, URLs and IP addresses are included, and users can also easily add their own domain intelligence to meet their unique needs.

• Rough Query: Rough Query provides near-instantaneous results for users who need to drill down into very large volumes of data. Rather than execute a long-running query to find a specific answer, Rough Query enables a user to narrow down the results in an iterative manner, with sub-second response time, before the full query is run. The total query time can be reduced by 20 times using this capability.  

• Distributed Load Processor (DLP): DLP, an add-on product for IEE, delivers load speeds that scale linearly as it processes and compresses data using multiple remote servers, then transfers the compressed data to the IEE database. Load performance gains result because CPU-intensive data compression is distributed across multiple machines, and query performance is enhanced by offloading this work from the database server.

• Hadoop Connector: Users looking to leverage Hadoop’s large-scale distributed batch processing benefits with Infobright’s fast ad-hoc analytic capabilities can do so easily using the Hadoop connector within the DLP. This tool provides a simple way to extract data from a Hadoop cluster and load it into IEE at very high speeds.

New! Infobright Enterprise Edition 4.0

Register for this webinar to learn in more detail the improvements and enhancements in IEE 4.0.

As you know, machine-generated data is the fastest growing category of Big Data. Sources range from web, telecom network and call detail records, computer logs, to data from online gaming, social networks, sensors, satellites, financial transaction feeds and more.   

Domain Expert adds intelligence about a particular data domain—such as web, financial services or telecom—to automatically optimize it for analytic performance. In release 4.0, online data types such as email addresses, URLs and IP addresses are included, and users can also easily add their own domain intelligence to meet their unique needs. Consequently, the data in the column can be compressed even more efficiently and the metadata automatically created by the Infobright Knowledge Grid is optimized for even faster performance.

Infobright’s goal is to give users immediate access to their data, the flexibility to do any kind of analysis without IT or DBA intervention, and the scalability to sustain high performance whether they are dealing with information within their own enterprise or Big Data in the Cloud. Our 4.0 release is another major step forward, as it extends the intelligence built into the system to specifically address the challenges companies of all sizes are facing in extracting useful and timely insight from the data now relentlessly churned out 24/7 by smart devices, sensors, real-time logs and a variety of other sources.