Big Data IAS (Index and Search) - For Cloud Environments
Otopy Big Data IAS (Index and Search) is a cloud based solution. With Otopy IAS™, customers can easily manage their large, unstructured data sets in a way they never imagined. With IAS you can experience a reduction in your index from typically 2-12 orders of magnitude. In addition your users can now search by semantics instead of just keywords; the Otopy IAS can understand not only the context of your data but the meaning of the terms used to find the data. IAS is language agnostic and is easy to use and manage.
Designed for large unstructured, semi-structured and structured data sets. Today, the growth in data is fueled by largely unstructured data from websites (e.g., Web traffic data and social media content) as well as machine-generated data from an exploding number of sensors. Most of the new data is actually semi-structured in format, because it consists of headers followed by text strings.
Otopy's Big Data IAS was designed from the ground up to handle very large unstructured data sets in the Peta Byte range. Now for the first time any user can now mine these large unstructured data sets to find important information via ad hoc and batch queries.
Real-time data. Organizations that accumulate big data recognize quickly that they need to change the way they capture, transform and move data from a nightly batch process to a continuous process using micro batch loads or event-driven updates. This technical constraint pays big business dividends because it makes it possible to deliver critical information to users in near real time. In other words, big data fosters operational analytics by supporting just-in-time information delivery. The market today is witnessing a perfect storm with the convergence of big data, deep analytics and real-time information delivery. Otopy is ideally suited to handle real-time data analysis through our incremental indexing technology.
Ease of Use Analytics. The Otopy solution is designed to be used by anyone in your organization. No training is required. No specialized programming is required. Just simply enter in the search box what you are interested in finding and the system will take care of the rest. Otopy's solution exposes related concepts that other search systems can't find. One of the unique attributes is the heuristic capability to find relationships based on the human hunch or gut feel. All together you will now be able to find those nuggets of data that before were missing; thus allowing for better decision making all focused on improving the bottom line of your company.
Fanout issue solved. In many cases when dealing with Big Data there is an exponential issue of fanout. Fanout is the resulting size of the data after an index of the data set to expose multiple connections. In many cases this fanout can grow to a point where it is impossible to manage. Otopy has solved the fanout problem by reducing the fanout from 2-12 orders of magnitude. This is controllable via our dashboard and it can be tweaked by the systems administrator.
Low Cost. The Otopy solution is built on the open source platform Hadoop (Apache). Otopy has integrated their solution into HP Cloud Services. The combination allows for a very economical solution for Big Data Customers. You can start small and grow over time; you only pay for the time you use the HP Cloud Service. HP manages all of the infrastructure and security of your data.
Wikipedia 3N (NoNetworkNeeded) allows users to read and browse Wikipedia on your iPhone, iPad and iPod Touch without an Internet connection. If you have an internet connection you can click on the internet tab on the top of each page and go directly to the Wikipedia site.
Note: Wikipedia 3N requires 8GB of free storage space. Also, it may take a while to download initial app data from Otopy server.
Wikipedia 3N has Otopy's enhanced concept based search engine that allows you to find things on Wikipedia that you normally couldn't find without an internet connection.
Requirements: Compatible with iPhone, iPad, iPod Touch. Requires OS 3.1.2 or later (iOS4 tested).
If you are a user of our software and need support, or have a feature request or bug report, please contact .