SYS-CON Events announced today that DragonGlass, an enterprise search platform, will exhibit at SYS-CON’s 16th International Cloud Expo®, which will take place on June 9-11, 2015, at the Javits Center in New York City, NY.
After eleven years of designing and building custom applications, OpenCrowd has launched DragonGlass, a cloud-based platform that enables the development of search-based applications. These are a new breed of applications that utilize a search index as their backbone for data retrieval. They can easily adapt to new data sets and provide access to both structured and unstructured data. DragonGlass provides a user-friendly interface to extract, map and create an index store. The platform also supports a simplified REST-based API and a set of widgets to build user-centric applications like dashboards. The product is assembled using some of the leading open source technologies like ElasticSearch and Apache Storm.
Monthly Archives: May 2015
AppDynamics on @DevOpsSummit | @AppDynamics [#DevOps #Microservices]
In high-production environments where release cycles are measured in hours or minutes — not days or weeks — there’s little room for mistakes and no room for confusion. Everyone has to understand what’s happening, in real time, and have the means to do whatever is necessary to keep applications up and running optimally. DevOps is a high-stakes world, but done well, it delivers the agility and performance to significantly impact business competitiveness.
Thinking Like a Data Scientist | @CloudExpo [#BigData #IoT #DevOps]
One question I frequently get is: “How do I become a data scientist?” Wow, tough question. There are several new books that outline the different skills, capabilities and technologies that a data scientist is going to need to learn and eventually master. I’ve read several of these books and am impressed with the depth of the content.
Unfortunately, these books spend the vast majority of their time reviewing and/or teaching things such as the data science processes (such as CRISP: Cross Industry Standard Process for Data Mining), and basic and advanced statistics, data mining and data visualization techniques and tools.
Microservices Orchestration | @DevOpsSummit [#DevOps #Docker #Microservices]
With the advent of micro-services, the application design paradigm has undergone a major shift. The days of developing monolithic applications are over. We are bringing in the principles (read SOA) hereto the preserve of applications or system integration space into the application development world.
Since the micro-services are consumed within the application, the need of ESB is not there. There is no message transformation or mediations required. But service discovery and load balancing of service instance still need to be done, new tools have come up (e.g. Netflix Eureka)
There is no correct answer, depending on the use case, different options can be applied. One can also apply multiple options within the same application depending on the type of the client to be supported or at times, you do not want to expose individual services and an aggregator service might be better.
Agile Big Data at @CloudExpo New York [#BigData #Docker #Microservices]
There is no doubt that Big Data is here and getting bigger every day. Building a Big Data infrastructure today is no easy task. There are an enormous number of choices for database engines and technologies. To make things even more challenging, requirements are getting more sophisticated, and the standard paradigm of supporting historical analytics queries is often just one facet of what is needed. As Big Data growth continues, organizations are demanding real-time access to data, allowing immediate and actionable interpretation of events as they happen. Another aspect concerns how to deliver data in a meaningful way, one that really delivers on what end users need to maintain a competitive position in fast-changing markets.
Big Data Redefined By @TonyShan | @BigDataExpo [#BigData]
A new definition of Big Data & the practical applications of the defined components & associated technical architecture models
This presentation introduces a new definition of Big Data, along with the practical applications of the defined components and associated technical architecture models.
In his session at Big Data Expo, Tony Shan will start with looking into the concept of Big Data and tracing back the first definition by Doug Laney, and then he will dive deep into the description of 3V and their implication. He will then pinpoint the limitations of this V-model, echoed by expert views and another industry survey report.
Big Data in Healthcare
The biggest industry where big data is mentioned the most is in healthcare. It makes sense because of the incredibly large amount of data the industry obtains and analyzes each day. Healthcare is trying to become lest wasteful and more cost effective, which has led to many new devices designed to automate the data collection for medical professionals.
Writer Trevir Nath recently wrote an article outlining the six main ways healthcare could take advantage of big data and cloud services. These include reducing waste and costs, improving both patient care and pharmaceutical research and development, lessening government subsidies, and improving digital health monitoring. In the article, he mentions how better research and development can lead to more positive patient outcomes, data transparency, and a significant amount of savings, on the scale of billions of dollars.
In the Wall Street Journal earlier this month, the director of health policy at Thomas Jefferson University stated that the use of big data and cloud technology could help create highly customized health care based on our individual genome while at the same time analyzing patterns of a broad demographic. He also said that electronic health records would replace the systems used today, and that almost real time analysis of a patient data could help track things such as disease outbreak and spreads.
Another way this technology comes into play is through wearable technology, such as fitness tracking watches. At the Consumer Electronics Show earlier this year, many of the large technology companies had wearable tech incorporated into their showcases. The data this technology obtains can prove extremely valuable to healthcare professionals. Healthcare providers must acknowledge this and be ready to utilize this information and technology in order to provide better care.
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Global Informatica Offers Outstanding Customer Experience Thanks to the Power of Parallels 2X RAS
Logo courtesy of Global Informatica “With Parallels 2X RAS, we are able to deliver six different versions of our software instantly to more than 300 users. The customer experience has improved significantly, with quick access to applications anywhere, anytime.” – Paolo Moleri, Marketing & Sales Director at Global Informatica Company Overview Global Informatica Srl, […]
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Why Should You Choose 2X RAS to Manage RDS and VDI Instead of VMware Horizon?
One of the important changes brought about by cloud computing technologies is the business shift towards desktop virtualization. Although this concept works with dedicated networks as well, the advent of BYOD and mobile networks obliged companies to implement remote/virtual offices, for provision of better delivery of virtual desktops and applications at a cost-effective price. Moreover, […]
The post Why Should You Choose 2X RAS to Manage RDS and VDI Instead of VMware Horizon? appeared first on Parallels Blog.
What the Shopify IPO Means for the Cloud By @IanKhanLive | @CloudExpo [#Cloud]
The launch of the Shopify IPO on the NYSE is a leap forward and a testimony tothe high quality of the Canadian technology sector. In its first trading day, Shopify was oversubscribed by 51%
As a solution-focused company, for us it’s a day of pride and tribulations to see a fellow technology company launching a successful IPO on one of the world’s greatest trading desks, Shopify, that started with humble beginnings, is one of the latest IPO’s to hit the market that is both tech, and Canadian. As a Canadian company Shopifys IPO success is a testimony to Canada being a breeding ground for world-class software companies. Shopifys and its solutions are not new to the industry, but the culmination of the right solution at the right time and a lot of hard work is evident from their success. Today, Shopify’s ecommerce platform serves the needs of over 165,000 merchants.