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Showing posts from February, 2015

Predictive Analytics - A Case Study

Nishad Sharma, a Delhi-based entrepreneur, is a typical online shopper who keeps a tab on the various sales and promotional deals run by companies from time to time. On the cool Delhi evening of February 4, he opened online fashion company Myntra's app on his smartphone to see if there were any deals on trousers. That day, was running its Rush Hour sale in which customers could avail up to 50 per cent discount on select products. After filtering his search, Sharma decided to add a pair of UCB trousers to his shopping cart.

But then he changed his mind. Perhaps he could get a better deal if he logged on into a sale on a weekend. To his surprise, Sharma received a mail from Myntra next morning, telling him what he presumably lost by abandoning his cart the previous day. The same product was now available at a 100 per cent mark-up. To close the sale, the company sent another mail to Sharma a couple of days later, offering a smaller discount of 20 per cent. Sharma cou…

Basics Of Artificial Intelligence

Artificial intelligence (AI) means different things to different people. Some believe that AI is synonymous with any form of intelligence achieved by nonliving systems; they maintain that it is not important if this intelligent behavior is not arrived at via the same mechanisms on which humans rely. For others, AI systems must be able to mimic human intelligence. 

No one would argue with the premise that to study AI or to implement AI systems, it is helpful if we first understand how humans accomplish intelligent behavior; that is, we must understand activities that are deemed intelligent in an intellectual, scientific, psychological, and technical sense. 

For example, if we want to build a robot capable of walking like a human, then we must first understand the process of walking from each of those perspectives; people, however, do not accomplish locomotion by constantly stating and following a prescribed set of formal rules that explain how to take steps. In fact, the more human exper…

The Robotics career top skills that you need always

The following skills are required to enter into Robotic Career.
PROGRAMMING:Matlab - Familiarity with command-line and external functions using MATLAB library; mport/export of data; graphing/plotting functions & data; rudimentary animationPython- And / or C / C++ familiarityROS- Robot Operating System (ROS) - Optional (Good to know)Program Constructs- Sequencing, Selection, Iteration & RecursionData Organization- Arrays, Lists, PointersCOMPUTERS: Tools Productivity : SW (MS Office - Excel / Word / PowerPoint / Project)

Operating Systems: Windows or Apple-OS - use of personal laptop computer Linux or Ubuntu
MATHEMATICS
Linear Algebra Inversion, Eigenvalues, Null-SpaceLinear Differential Eq. Matrix-Algebra & -ManipulationBasic Calculus Derivatives, Gradients, Chain RuleNumerical Integration Basic Computational Implementation, e.g. Runge-Kutta 4Fourier Analysis NOT how to calculate the coefficients, but the notion that any complicated fct. can be represented as a composite of s…

Career in cloud computing possible ways

Lot of job prospects are available for cloud computing skill sets.Every analyst firm, from Gartner to IDC to Forrester and many others have released relative numbers claiming that cloud computing will grow revenues in the gazillions over the next five to ten years, creating millions of direct programmer jobs and many new jobs we don't even know about yet. 
According to research sponsored by Microsoft, and conducted by IDC in 2012, spending on public and private IT cloud services will generate nearly 14 million jobs worldwide from 2011 to 2015.And according to the 2012 Gartner CIO Agenda Report, the top three priorities for that year were analytics and business intelligence, mobile technologies, and cloud computing.

Read more:Learn Cloud
Regardless of the industry, the technological transformations have been astounding, with all things now social, mobile, and cloud computing, just to name a few tech fields.And what's been cool to watch is how these technologies have hel…

Cloud Case Study Part-2

Present case study is in Health Care:

Practo Technologies was formed in year 2008. The vision of the company was to make medical information digitally accessible to patients and doctors. With all these features at pleasing price, solutions providers like Practo aimed to create the most efficient healthcare experience for people in India and gradually around the world.


The aim was to improve the patient experience for finding and meeting a doctor.

Traditionally the healthcare records were created manually and stored on shelves. Managing of records stored in files traditionally was of not much use. With the evolution of technology, there has been a paradigm shift in the manner the healthcare industry functions. The medical records are electronically stored and managed. With the acceptance of cloud computing the healthcare patient data is stored at a remote server location on the internet. The following companies offering CLOUD based health care Service: Practo Ray It is a cloud…

Cloud Integration-New Role in IT

ITaaS is the most recent entrant to the IT landscape; it is an efficient delivery method. With the meteoric and mesmerizing rise of service orientation principles, every single IT element is being viewed and visualized as a service that sets the tone for the service era

Integration as a service (IaaS): is a budding and distinctive capability of clouds that helps in fulfilling internal as well as external business integration requirements. Increasingly, business applications are deployed in clouds to reap the manifold business and technical benefits of using clouds.
On the other hand, innumerable mission-critical applications and data sources still remain locally stationed and sustained primarily due to the expressed security concerns associated with hosting them in clouds. The question here is how to create seamless data flow between hosted and on-premise applications so that they work together. The IaaS overcomes these challenges by smartly utilizing the time-tested B2B integration…

Analytics on Fly - Read It

The basis for real-time analytics is to have all resources at disposal in the moment they are called for . So far, special materialized data structures, called cubes, have been created to efficiently serve analytical reports. Such cubes are based on a fixed number of dimensions along which analytical reports can define their result sets. Consequently, only a particular set of reports can be served by one cube. If other dimensions are needed, a new cube has to be created or existing ones have to be extended. In the worst case, a linear increase in the number of dimensions of a cube can result in an exponential growth of its storage requirements. Extending a cube can result in a deteriorating performance of those reports already using it. The decision to extend a cube or build a new one has to be considered carefully. 
In any case, a wide variety of cubes may be built during the lifetime of a system to serve reporting, thus increasing storage requirements and also maintenanc…

Case Study On Cloud Computing

The concept of cloud computing is in use for many years, but in recent years has it become a highlighted and come in picture. In the year 1990s, cloud computing was developed by major IT providers such as Sun, Microsoft, Google, and Amazon.

Different products came into use for different levels of users. The most popular services for end users include web-based email systems (SaaS), e.g. AOL, Gmail, Hotmail, and Yahoo! Mail, and office applications such as Google Docs, Microsoft MS Office Online, Cloud-canvas.com, and Write.fm, etc.

Developers can run their programs on the cloud (PaaS) like Google AppEngine, Windows Azure, and Force.com. Companies or organizations store or backup their large data on remote servers (IaaS), for example, Rackspace, Microsoft Azure, Animoto, Jungle Disk and Amazon's EC2 or S3 servers.

In 2011, the Primary Research Group (PRG) published a report of its recently conducted survey on library use of cloud computing (Primary Research Group, 2011). Participa…

Basics Of CLOUD Storage

There are hundreds of different cloud storage systems, and some are very specific in what they do. Some are niche-oriented and store just email or digital pictures, while others store any type of data. Some providers are small, while others are huge and fill an entire warehouse.

Example: One of Google’s datacenters in Oregon is the size of a football field and houses thousands of servers. 


At the most rudimentary level, a cloud storage system just needs one data server connected to the Internet. A subscriber copies files to the server over the Internet, which then records the data. When a client wants to retrieve the data, he or she accesses the data server with a web-based interface, and the server then either sends the files back to the client or allows the client to access and manipulate the data itself.cloud storage systems utilize dozens or hundreds of data servers. Because servers require maintenance or repair, it is necessary to store the saved data on multiple machines, providin…

3 Technologies to Build Clouds

In a simple terms, Cloud computing means, data and computing is done in Cloud.
Cloud computing is an environment is a combination of Hardware, Systems Software and Applications.

The cloud which is available to the public is called PUBLIC cloud.
The cloud which is available to the particular Business/Company is called PRIVATE Cloud.
Hybrid Cloud- A private cloud is maintains all the resources that needed, in case of emergency, it takes resources from PUBLIC cloud.


Cloud services (remote data and computation) are exposed as simple and user-friendly web services.

For example, Microsoft's ADO.NET (originally called Astoria)  provides the tools to expose any data object from a collection, stored in a database or other form, as a URI to an encoded form using a standard such as JSON or ATOM representation

Google's AppEngine provides a way to deploy a remote Python script that becomes a web service that can access data in their BigTable database system.

To deliver highly available a…

Top Paid IT Jobs

Entry Level Business Intelligence Architect The primary responsibility of the business intelligence architect is data standards and procedures; warehousing; design and development of logical and physical data models and databases; distributed data management; information management functions. The business intelligence architect designs, develops and enforces standards and architecture for installing, configuring and using business intelligence applications for the purpose of directing and managing the organization. The role usually requires a bachelor's degree and at least some experience in a BI role. Salary:$81,200 ASIC Design Engineer The role produces application-specific integrated circuit (ASIC) designs and modifications by identifying design objectives and issues; researching and developing ASIC engineering techniques and approaches; verifying and validating designs; maintaining documentation; and mentoring team members, if applicable. The role usually requires a bachelor&#…

YARN on HADOOP 2.0

Apache Hadoop is one of the most popular tools for big data processing. It has been successfully deployed in production by many companies for several years. Though Hadoop is considered a reliable, scalable, and cost-effective solution, it is constantly being improved by a large community of developers. As a result, the 2.0 version offers several revolutionary features, including Yet Another Resource Negotiator (YARN), HDFS Federation, and a highly available NameNode, which make the Hadoop cluster much more efficient, powerful, and reliable. 

Apache Hadoop 2.0 includes YARN, which separates the resource management and processing components. The YARN-based architecture is not constrained to MapReduce.
New developmens in Hadoop 2.0 Architecture with YARN:
ResourceManager instead of a cluster managerApplicationMaster instead of a dedicated and short-lived JobTrackerNodeManager instead of TaskTrackerA distributed application instead of a MapReduce jobBasic changes in Hadoop 2.0 architecture a…

Mobile Application Development-Promising Career

Mobile application development will lead in the market. E-commerce is expanding 3 folds in 2015. Expecting it will increases to 100 folds in coming 2 or 3 years.

The following skill set is required to enter into mobile application development.



Mobile Advertising

Mobile advertising can also constitute a significant part of m-commerce applications. Indeed, using demographic information compiled by mobile-service suppliers and information about the physical location of the user, a highly targeted advertisement can be launched. Advertisements can be tailored to target a given user, according to the information previously provided, during a preliminary stage, or a past shopping expedition. Advertisement can also take advantage of the user's physical location. For example, users could be alerted to sales and feature events occurring in their neighborhood stores and restaurants. This type of advertising functions with a short message service or a pager.

When more wireless bandwidth becomes…