Welcome!

Apache Authors: William Schmarzo, Christopher Harrold, Elizabeth White, Talend Inc., Adrian Bridgwater

Related Topics: Microservices Expo, Java IoT, Containers Expo Blog, Agile Computing, @CloudExpo, Apache

Microservices Expo: Article

Big Data Analytics: Thinking Outside of Hadoop

UIMA and Hadoop in Big Data Analytics

Big Data Predictions
In the recent release of '2012 Hype Cycle Of Emerging Technologies,' research analyst Gartner evaluated several technologies to come up with a list of technologies that will dominate the future . "Big Data" related technologies form a significant portion of the list, in particular the following technologies revolve around the concept and usage of Big Data.

  • Social Analytics: This analytics allow marketers to identify sentiment and identify trends in order to accommodate the customer better.
  • Activity Streams: Activity Streams are the future of enterprise collaboration, uniting people, data, and applications in real-time in a central, accessible, virtual interface. Think of a company social network where every employee, system, and business process exchanged up-to-the-minute information about their activities and outcomes
  • Natural Language Question Answering: NLP is a technique for analysing naturally occurring texts as part of linguistic processing to achieve human like language processing.
  • Video Analytics: forming a conceptual and contextual understanding of the content of the video .
  • Context Enriched Services: Context-enriched services use information about a person or an object to proactively anticipate the user's need and serve up the content.

These areas are just representative but in general many of the emerging technologies revolve around the ability to process large amounts of data from hither to unconventional sources and extract meaning out of them.

Doing a general search on Big Data on Google, or any other technical forum, we find that Big Data is almost synonymous with Hadoop, the main reason being that  the storage and computational operations in Hadoop are parallel by design. Hadoop is highly scalable. Data can be accessed and operated upon without interdependencies until the results need to be reduced - and even the reduction itself can be performed in parallel. The result is that large amounts of data can be processed concurrently by many servers, greatly reducing the time to obtain results.

MapReduce is the basic component of Hadoop. It is a parallel programming framework that processes unordered data. All data are composed of a key and an associated value and processing occurs mainly in two phases, the Map phase and the Reduce phase.

However, careful analysis of the above technologies like Social Analyics, Video Analytics, and NLP, reveal that all of them definitely needed the massively parallel processing power of Hadoop, but they also need the level of intelligence that extracts meaningful information such that the Hadoop's Map & Reduce functions are effective to provide the required insight.

UIMA and Big Data Analytics
Hadoop in its raw form will not solve all the insight required for Big Data processing like in the technologies mentioned earlier. This is evident from the fact that most of the tutorials and examples on Hadoop Big Data Processing are about counting words or parsing text streams for specific words, etc. Naturally these examples are good from an academic perspective but may not solve the real life needs of Big Data processing and the associated insight needed for the enterprises.

UIMA stands for Unstructured Information Management Architecture. It is a component software architecture for the development, discovery, composition and deployment of multi-modal analytics for the analysis of unstructured information and its integration with search and knowledge management technologies.

The UIMA architecture supports the development, discovery, composition and deployment of multi-modal analytics, including text, audio and video.

Once the initial processors understands Video, Audio and other media documents like email and creates textual meaning out of it like the string of tokens or other patterns, these values can be parsed by various annotators of UIMA pipe line.

The parser subcomponent is responsible for converting the crawled document in its native format .

UIMA is an architecture in which basic building blocks called Analysis Engines (AEs) are composed to analyze a document and infer and record descriptive attributes about the document as a whole, and/or about regions therein. This descriptive information, produced by AEs is referred to generally as analysis results. Analysis results typically represent meta-data about the document content. One way to think about AEs is as software agents that automatically discover and record meta-data about original content.

Analysis Engines are constructed from building blocks called Annotators. An annotator is a component that contains analysis logic. Annotators analyze an artifact (for example, a text document) and create additional data (metadata) about that artifact. It is a goal of UIMA that annotators need not be concerned with anything other than their analysis logic - for example the details of their deployment or their interaction with other annotators.

An Analysis Engine (AE) may contain a single annotator (this is referred to as a Primitive AE), or it may be a composition of others and therefore contain multiple annotators (this is referred to as an Aggregate AE).

Some of the examples of Annotators could be :

  • Language Identification annotator
  • Linguistic Analysis annotator
  • Dictionary Lookup annotator
  • Named Entity Recognition annotator
  • Pattern Matcher annotator
  • Classification Module annotator
  • Custom annotators

While a detailed description of Annotators in processing unstructured data is beyond the scope of this article, you can appreciate the power of Annotator with one specific example below.

The OpenCalais Annotator component wraps the OpenCalais web service and makes the OpenCalais analysis results available in UIMA. OpenCalais can detect a large variety of entities, facts and events like for example Persons, Companies, Acquisitions, Mergers, etc.

Summary
As is evident from the above facts, frameworks like UIMA extend the Big Data processing towards much more meaningful insights and map them to real world scenarios. While the Massively Parallel Processing abilities of Hadoop will be a key factor in Big Data initiatives, it is not alone enough and frameworks like UIMA will be playing a much larger part.

More Stories By Srinivasan Sundara Rajan

Srinivasan is passionate about ownership and driving things on his own, with his breadth and depth on Enterprise Technology he could run any aspect of IT Industry and make it a success.

He is a seasoned Enterprise IT Expert, mainly in the areas of Solution, Integration and Architecture, across Structured, Unstructured data sources, especially in manufacturing domain.

He currently works as Technology Head For GAVS Technologies.

@ThingsExpo Stories
You think you know what’s in your data. But do you? Most organizations are now aware of the business intelligence represented by their data. Data science stands to take this to a level you never thought of – literally. The techniques of data science, when used with the capabilities of Big Data technologies, can make connections you had not yet imagined, helping you discover new insights and ask new questions of your data. In his session at @ThingsExpo, Sarbjit Sarkaria, data science team lead ...
SYS-CON Events announced today that Men & Mice, the leading global provider of DNS, DHCP and IP address management overlay solutions, will exhibit at SYS-CON's 18th International Cloud Expo®, which will take place on June 7-9, 2016, at the Javits Center in New York City, NY. The Men & Mice Suite overlay solution is already known for its powerful application in heterogeneous operating environments, enabling enterprises to scale without fuss. Building on a solid range of diverse platform support,...
You deployed your app with the Bluemix PaaS and it's gaining some serious traction, so it's time to make some tweaks. Did you design your application in a way that it can scale in the cloud? Were you even thinking about the cloud when you built the app? If not, chances are your app is going to break. Check out this webcast to learn various techniques for designing applications that will scale successfully in Bluemix, for the confidence you need to take your apps to the next level and beyond.
We’ve worked with dozens of early adopters across numerous industries and will debunk common misperceptions, which starts with understanding that many of the connected products we’ll use over the next 5 years are already products, they’re just not yet connected. With an IoT product, time-in-market provides much more essential feedback than ever before. Innovation comes from what you do with the data that the connected product provides in order to enhance the customer experience and optimize busi...
SYS-CON Events announced today that Ericsson has been named “Gold Sponsor” of SYS-CON's @ThingsExpo, which will take place on June 7-9, 2016, at the Javits Center in New York, New York. Ericsson is a world leader in the rapidly changing environment of communications technology – providing equipment, software and services to enable transformation through mobility. Some 40 percent of global mobile traffic runs through networks we have supplied. More than 1 billion subscribers around the world re...
Increasing IoT connectivity is forcing enterprises to find elegant solutions to organize and visualize all incoming data from these connected devices with re-configurable dashboard widgets to effectively allow rapid decision-making for everything from immediate actions in tactical situations to strategic analysis and reporting. In his session at 18th Cloud Expo, Shikhir Singh, Senior Developer Relations Manager at Sencha, will discuss how to create HTML5 dashboards that interact with IoT devic...
Artificial Intelligence has the potential to massively disrupt IoT. In his session at 18th Cloud Expo, AJ Abdallat, CEO of Beyond AI, will discuss what the five main drivers are in Artificial Intelligence that could shape the future of the Internet of Things. AJ Abdallat is CEO of Beyond AI. He has over 20 years of management experience in the fields of artificial intelligence, sensors, instruments, devices and software for telecommunications, life sciences, environmental monitoring, process...
Digital payments using wearable devices such as smart watches, fitness trackers, and payment wristbands are an increasing area of focus for industry participants, and consumer acceptance from early trials and deployments has encouraged some of the biggest names in technology and banking to continue their push to drive growth in this nascent market. Wearable payment systems may utilize near field communication (NFC), radio frequency identification (RFID), or quick response (QR) codes and barcodes...
In his session at @ThingsExpo, Chris Klein, CEO and Co-founder of Rachio, will discuss next generation communities that are using IoT to create more sustainable, intelligent communities. One example is Sterling Ranch, a 10,000 home development that – with the help of Siemens – will integrate IoT technology into the community to provide residents with energy and water savings as well as intelligent security. Everything from stop lights to sprinkler systems to building infrastructures will run ef...
SYS-CON Events announced today that Fusion, a leading provider of cloud services, will exhibit at SYS-CON's 18th International Cloud Expo®, which will take place on June 7-9, 2016, at the Javits Center in New York City, NY. Fusion, a leading provider of integrated cloud solutions to small, medium and large businesses, is the industry's single source for the cloud. Fusion's advanced, proprietary cloud service platform enables the integration of leading edge solutions in the cloud, including cloud...
SYS-CON Events announced today that Peak 10, Inc., a national IT infrastructure and cloud services provider, will exhibit at SYS-CON's 18th International Cloud Expo®, which will take place on June 7-9, 2016, at the Javits Center in New York City, NY. Peak 10 provides reliable, tailored data center and network services, cloud and managed services. Its solutions are designed to scale and adapt to customers’ changing business needs, enabling them to lower costs, improve performance and focus inter...
So, you bought into the current machine learning craze and went on to collect millions/billions of records from this promising new data source. Now, what do you do with them? Too often, the abundance of data quickly turns into an abundance of problems. How do you extract that "magic essence" from your data without falling into the common pitfalls? In her session at @ThingsExpo, Natalia Ponomareva, Software Engineer at Google, will provide tips on how to be successful in large scale machine lear...
SYS-CON Events announced today that DatacenterDynamics has been named “Media Sponsor” of SYS-CON's 18th International Cloud Expo, which will take place on June 7–9, 2016, at the Javits Center in New York City, NY. DatacenterDynamics is a brand of DCD Group, a global B2B media and publishing company that develops products to help senior professionals in the world's most ICT dependent organizations make risk-based infrastructure and capacity decisions.
The IoT has the potential to create a renaissance of manufacturing in the US and elsewhere. In his session at 18th Cloud Expo, Florent Solt, CTO and chief architect of Netvibes, will discuss how the expected exponential increase in the amount of data that will be processed, transported, stored, and accessed means there will be a huge demand for smart technologies to deliver it. Florent Solt is the CTO and chief architect of Netvibes. Prior to joining Netvibes in 2007, he co-founded Rift Technol...
Join IBM June 8 at 18th Cloud Expo at the Javits Center in New York City, NY, and learn how to innovate like a startup and scale for the enterprise. You need to deliver quality applications faster and cheaper, attract and retain customers with an engaging experience across devices, and seamlessly integrate your enterprise systems. And you can't take 12 months to do it.
Machine Learning helps make complex systems more efficient. By applying advanced Machine Learning techniques such as Cognitive Fingerprinting, wind project operators can utilize these tools to learn from collected data, detect regular patterns, and optimize their own operations. In his session at 18th Cloud Expo, Stuart Gillen, Director of Business Development at SparkCognition, will discuss how research has demonstrated the value of Machine Learning in delivering next generation analytics to im...
This is not a small hotel event. It is also not a big vendor party where politicians and entertainers are more important than real content. This is Cloud Expo, the world's longest-running conference and exhibition focused on Cloud Computing and all that it entails. If you want serious presentations and valuable insight about Cloud Computing for three straight days, then register now for Cloud Expo.
IoT device adoption is growing at staggering rates, and with it comes opportunity for developers to meet consumer demand for an ever more connected world. Wireless communication is the key part of the encompassing components of any IoT device. Wireless connectivity enhances the device utility at the expense of ease of use and deployment challenges. Since connectivity is fundamental for IoT device development, engineers must understand how to overcome the hurdles inherent in incorporating multipl...
The IETF draft standard for M2M certificates is a security solution specifically designed for the demanding needs of IoT/M2M applications. In his session at @ThingsExpo, Brian Romansky, VP of Strategic Technology at TrustPoint Innovation, will explain how M2M certificates can efficiently enable confidentiality, integrity, and authenticity on highly constrained devices.
The paradigm has shifted. A Gartner survey shows that 43% of organizations are using or plan to implement the Internet of Things in 2016. However, not just a handful of companies are still using the old-style ad-hoc trial-and-error ways, unaware of the critical barriers, paint points, traps, and hidden roadblocks. How can you become a winner? In his session at @ThingsExpo, Tony Shan will present a methodical approach to guide the holistic adoption and enablement of IoT implementations. This ov...