ElasticSearch – TNR Global

Enterprise Search Summit Fall 2012

schedule some time to talk with us one on one with a search problem you might be having, at #ESS12

We are pleased to announce that we will be attending the Enterprise Search Summit in Washington, DC on October 17-19, 2012. The conference will be held at the Renaissance Washington, DC Hotel. The theme for the conference is “Strategies to Hit Your Moving Targets” and discusses ‘ issues of findability, open source, cloud search, best practices, and other topics of concern to search practitioners.’ From TNR, Michael McIntosh, VP of Search Technology will be attending, along with Director of Business Development Karen Lynn.

Additionally, we will be attending the inaugural DC Search Meetup Group on Wednesday, Oct 17 from 6:30-8. The topic for the Meetup is “What’s Your Search Story.” We’re looking forward to meeting new friends and colleagues during both events.

If you’d like to schedule some time to talk with us one on one with a search problem you might be having, simple email us at Karen@tnrglobal.com or DM us via Twitter @TNRGlobal . We’ll also be tweeting live from the conference using hashtag #ESS12.

Introduce yourself if you happen to make the conference, we’re happy to meet you!

White Papers

Research is essential to choosing the right search technology for your organization. With new and complex technologies emerging every day, it can be difficult to navigate the path that will lead you to the right solution. Staying abreast of new tools and technology is a top priority for our team of software developers. We have reported on many tools and search technologies, their components and applications in a series of White Papers. Our papers are geared for the technology professional but often have enough business cases that illustrate how improving search can be of value to the needs of the business like analyzing large sets of data, better site performance, higher customer satisfaction and an overall healthy bottom line.

To indicate your interest in receiving our White Papers on the following subjects, click the headings below to enter your email. From time to time we may update the paper or send relevant information on the subject, but by no means will we inundate you with email. Our White Papers are free when you sign up.

Thank you for your interest in our work. Please feel free to contact us to discuss your specific needs. We’re happy to discuss your options.

White Papers Published 2012:

Elasticsearch Evaluation

Reporting on Large Data Sets with Elasticsearch

Bridging the Gap: A Migration Path from Fast ESP to Lucene Solr

Museum Collection Search

And if you are just getting started or learning about Enterprise Search on a smaller scale, you can view these White Papers as well, no email necessary.

White Papers Published 2010-2011:

Elasticsearch Evaluation White Paper Released: Promising for Big Data

We believe that Elasticsearch is a product that everyone working in the field of big data will want to take a look at.

There are many new technologies emerging around search, and we’ve been investigating several of them for our clients. Search has never been “easy” but Elasticsearch attempts to make it at least easier. Elasticsearch is billed to be “built for the cloud,” and with so many companies moving into the cloud, it seems like a natural that search would move there too. This paper is designed to show you just how Elasticsearch works by setting up a cluster and feeding it data. We also let you know what tools we use so you can test out the technology and we include a rough sketch of code as well. Finally, we make conclusions about how Elasticsearch can help with problems like Big Data and other search related uses.

Elasticsearch is an open source technology developed by one developer, Shay Bannon. This paper is simply a first look at elasticsearch and is not associated with an additonal product or variation of elaticsearch. The appeal for big data is due to elasticsearch’s wonderful ability to scale with growing content, which has largely been associated with the “big data problem” we all keep hearing about. It’s very easy to add new nodes and it handles the balancing of your data across the available nodes. It handles the failure of nodes in a graceful way that is important in a cloud environment. And lastly, we simply evaluate and test the technology. We really don’t believe there is a one size fits all technology in the realm of enterprise search, it is really highly dependent upon your systems, how many documents you have, how much unstructured data you have, and how you want your site to function. But that said– in terms of storing big data, it is as capable as any Lucene based product; it can handle a much larger load that the current Solr release as the notion of breaking the index up into smaller chunks is “baked in” to the product.

Here is an except from the paper:

“Products like Elasticsearch that lack a document processing component entirely become more attractive. In fact, most projects that involve a data set large enough to qualify as “big data”³² are building their own document processing stages anyway as part of their ETL cycle.”

If you are interested in downloading this free White Paper, sign up with us here.

If you would like help using Elasticsearch with your search project, contact us.

Big Data

Big Data is data that has outgrown the processing capacity of traditional database systems. It is data that is too big, moves too fast, or cannot be contained within your database architectures. But Big Data has immense value, because of the information trapped inside. To leverage this value and unlock the data’s potential, it must be processed differently to extract meaningful information.

Our software engineers have experience working with datasets containing several terrabytes of data. We use technologies like Hadoop and HBase to process this data and indexers like Solr and ElasticSearch with JSON to index and extract meaningfull information from enormous data sets. Combining these technologies creates a search engine that powers discovery, business intelligence, and analytics.