31 October 2015

How Ruby On Rails Used for Web Development

Since its debut in 2004, Ruby on Rails has rapidly become one of the most powerful and popular frameworks for building dynamic web applications. Everyone from scrappy startups to huge companies have used Rails: 37signals, GitHub, Shopify, Scribd, Twitter, LivingSocial, Groupon, Hulu, the Yellow Pages—the list of sites using Rails goes on and on. There are also many web development shops that specialize in Rails, such as ENTP, thoughtbot, Pivotal Labs, and Hashrocket, plus innumerable independent consultants, trainers, and contractors.
(Career in Ruby On Rails)
(Career in Ruby On Rails)

What makes Rails so great? First of all, Ruby on Rails is 100 percent open-source, available under the permissive MIT License, and as a result it also costs nothing to download or use. 


Rails also owes much of its success to its elegant and compact design; by exploiting the malleability of the underlying Ruby language, Rails effectively creates a domain-specific language for writing web applications. As a result, many common web programming tasks—such as generating HTML, making data models, and routing URIs—are easy with Rails, and the resulting application code is concise and readable.


Rails also adapts rapidly to new developments in web technology and framework design. For example, Rails was one of the first frameworks to fully digest and implement the REST architectural style for structuring web applications.

28 October 2015

What is "Learning Algorithm" in Machine Learning

#What is machine learning algorithm
#What is machine learning algorithm
Just a basics on Machine Learning

Alice has just begun taking a course on machine learning. She knows that at the end of the course, she will be expected to have “learned”all about this topic. A common way of gauging whether or not shehas learned is for her teacher, Bob, to give her a exam. She has done well at learning if she does well on the exam.

But what makes a reasonable exam? If Bob spends the entire semester talking about machine learning, and then gives Alice an exam on History of Pottery, then Alice’s performance on this exam will not be representative of her learning. On the other hand, if the (The general supervised approach to machine learning: a learning algorithm reads in training data and computes a learned function f . This function can then automatically label future text examples.)

exam only asks questions that Bob has answered exactly during lectures, then this is also a bad test of Alice’s learning, especially if it’s an “open notes” exam. What is desired is that Alice observes specific examples from the course, and then has to answer new, but related questions on the exam. This tests whether Alice has the ability to  generalize. Generalization is perhaps the most central concept in machine learning. This Machine learning with data science hands-on really useful.

Examples for Machine Learning

As a running concrete example, we will use that of a course recommendation system for undergraduate computer science students. We have a collection of students and a collection of courses. Each student has taken, and evaluated, a subset of the courses. The evaluation is simply a score from −2 (terrible) to +2 (awesome).

The job of the recommender system is to predict how much a particular student (say, Alice) will like a particular course (say, Algorithms).

Given historical data from course ratings (i.e., the past) we are trying to predict unseen ratings (i.e., the future). Now, we could be unfair to this system as well. We could ask it whether Alice is likely to enjoy the History of Pottery course. This is unfair because the system has no idea what History of Pottery even is, and has no prior experience with this course. On the other hand, we could ask it how much Alice will like Artificial Intelligence, which she took last year and rated as +2 (awesome).

We would expect the system to predict that she would really like it, but this isn’t demonstrating that the system has learned: it’s simply recalling its past experience. In the former case, we’re expecting the system to generalize beyond its experience, which is unfair. In the latter case, we’re not expecting it to generalize at all.

This general set up of predicting the future based on the past is at the core of most machine learning. The objects that our algorithm will make predictions about are examples. In the recommender system setting, an example would be some particular Student/Course pair (such as Alice/Algorithms). The desired prediction would be the rating that Alice would give to Algorithms.

26 October 2015

Top 10 SCALA Quiz Questions for Programmers

Scala is an acronym for “Scalable Language”. This means that Scala grows with you. You can play with it by typing one-line expressions and observing the results. But you can also rely on it for large mission critical systems, as many companies, including Twitter, LinkedIn, or Intel do.

 To some, Scala feels like a scripting language. Its syntax is concise and low ceremony; its types get out of the way because the compiler can infer them. There’s a REPL and IDE worksheets for quick feedback.

Developers like it so much that Scala won the ScriptBowl contest at the 2012 JavaOne conference. At the same time, Scala is the preferred workhorse language for many mission critical server systems. The generated code is on a par with Java’s and its precise typing means that many problems are caught at compile-time rather than after deployment.

 At the root, the language’s scalability is the result of a careful integration of object-oriented and functional language concepts.(Ref-what is Scala).

25 October 2015

Machine Learning Quiz for Developers

What is Machine Learning?

According to Coursera-Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome.

Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself.

Machine Learning Quiz
Machine Learning Quiz
More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI.

How to get your next stunning dream job in Machine Learning

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome.
Dream Job in Machine Learning
Dream Job in Machine Learning

Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI.

Related: Course on Machine Learning

In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself.

More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI.

21 October 2015

Daily use AWS File Commands

The AWS Command Line Interface (CLI) is a unified tool to manage your AWS services. With just one tool to download and configure, you can control multiple AWS services from the command line and automate them through scripts.

The AWS CLI introduces a new set of simple file commands for efficient file transfers to and from Amazon S3.
Daily use AWS file commands
Daily use AWS file commands

$ aws ec2 describe-instances


$ aws ec2 start-instances --instance-ids i-1348636c


$ aws sns publish --topic-arn arn:aws:sns:us-east-1:546419318123:OperationsError --message "Script Failure"


$ aws sqs receive-message --queue-url https://queue.amazonaws.com/546419318123/Test


$ aws help

$ aws autoscaling help

$ aws autoscaling create-auto-scaling-group help

$ aws s3 ls s3://mybucket

        LastWriteTime            Length Name

        ------------             ------ ----

                                            PRE myfolder/

2013-09-03 10:00:00           1234 myfile.txt



Sync command:
$ aws s3 sync myfolder s3://mybucket/myfolder --exclude *.tmp
upload: myfolder/newfile.txt to s3://mybucket/myfolder/newfile.txt


Read more here.

20 October 2015

Skills needed for NoSQL Data engineer

The following Skills are needed to become successful NoSQL data engineer:

Related: NoSQL Interview Questions
Skills for NoSQL engineers
NoSQL Skills
  • 3 + years of practical experience with distributed data analysis systems using parallel processes such as Hadoop.
  • Experience working with batch processing/ real-time systems using various open source technologies like Solr, Hadoop, NoSQL, Spark, Hive, etc.
  • Knowledgeable about data modeling, data access, and data storage techniques
  • Experience in Linux or similar system is preferred
  • Experience on MySQL, NoSQL and storage software is a plus
Check here...

19 October 2015

Amazon Web Service Import/Export Commands


Cloud computing Jobs
[Top CLOUD career options]
In the process like Hadoop cluster, which is already installed on CLOUD, the main input for data processing is huge volume of data. The big questions is how to send data to CLOUD from local machine.

It is NOT so easy to send huge volume of data to CLOUD through network.

AWS introduced new feature called Import/Export, so that you can send hard drive to AWS, they will upload your data to S3 storage.

Different calculations:

How networking causes hurdle to move data to cloud?

A) Your internet speed is 1.544 MBPS it takes 82 days - So your data is  100 GB or more, based on your net speed you need to go for Import/Export.

Your internet speed is 10 MBPS it takes 13 days - So your data is  600 GB or more, based on your net speed you need to go for Import/Export.

Business Intelligence with Amazon QuickSight

Amazon Web services Skills
(Amazon Web services Career)
Amazon QuickSight is a very fast, cloud-powered business intelligence (BI) service that makes it easy for all employees to build visualizations, perform ad-hoc analysis, and quickly get business insights from their data.

Amazon QuickSight uses a new, Super-fast, Parallel, In-memory Calculation Engine (“SPICE”) to perform advanced calculations and render visualizations rapidly. Amazon QuickSight integrates automatically with AWS data services, enables organizations to scale to hundreds of thousands of users, and delivers fast and responsive query performance to them via SPICE’s query engine.

At one-tenth the cost of traditional solutions, Amazon QuickSight enables you to deliver rich BI functionality to everyone in your organization.

Easily connect Amazon QuickSight to AWS data services, including Amazon Redshift, Amazon RDS, Amazon Aurora, Amazon EMR, Amazon DynamoDB, Amazon S3, and Amazon Kinesis; upload CSV, TSV and spreadsheet files; or connect to third-party data sources such as Salesforce.

Amazon QuickSight automatically infers data types and relationships and provides suggestions for the best possible visualizations, optimized for your data, to help you get quick, actionable business insights.

Amazon QuickSight uses SPICE – a Super-fast, Parallel, In-memory optimized Calculation Engine built from the ground up to generate answers on large datasets.

Securely share your analysis with others in your organization by building interactive stories for collaboration using the storyboard and annotations. Recipients can further explore the data and respond back with their insights and knowledge, making the whole organization efficient and effective.

Related: AWS - Cloud computing online Training

Amazon QuickSight provides partners a simple SQL-like interface to query the data stored in SPICE so that customers can continue using their existing BI tools from AWS BI Partners while benefiting from the faster performance delivered by SPICE.

17 October 2015

How Communication Services happen in CLOUD

(Cloud computing Jobs)
(Cloud computing Jobs)
For service developers, making services available in the cloud depends on the type of service and the device(s) being used to access it. The process may be as simple as a user clicking on the required web page, or could involve an application using an API accessing the services in the cloud.

Telcos are starting to use clouds to release their own services and those developed by others, but using Telco infrastructure and data. The expectation is that the Telco’s communications infrastructure provides a revenue generating opportunity.

Using the Communications Services When in the cloud, communications services can extend their capabilities, or stand alone as service offerings, or provide new interactivity capabilities to current services.

Cloud-based communications services enable businesses to embed communications capabilities into business applications,such as Enterprise Resource Planning (ERP) and Customer Relationship Management (CRM) systems. For “on the move” business people, these can be accessed through a smartphone, supporting increased productivity while away from the office.

These services are over and above the support of service deployments of VoIP systems, collaboration systems, and conferencing systems for both voice and video. They can be accessed from any location and linked into current services to extend their capabilities, as well as stand alone as service offerings.

In terms of social networking, using cloud-based communications provides click-to-call capabilities from social networking sites,access to Instant Messaging systems and video communications, broadening the interlinking.

16 October 2015

Key 5 Services of AWS CLOUD computing

[ Amazon web services Skill set ]
[ Amazon web services Skill set ]
Amazon web service offers 5 services:
  • Store Files:  AWS provides highly scalable, reliable, secure, fast storage for your digital files.
  •  Host a Website: AWS provides many ways to host your website in order to suit the needs of large-scale enterprises,startups, and individuals.
  • Run a Database: Adds or removes virtual servers to handle peaks and lulls in traffic. Requires CloudWatch.Distributes traffic among multiple virtual servers.
  • Deploy an Application:  AWS offers application management services that help you build, deploy, and scale applications.You can use an application management service to leverage other AWS services without having to manage each of them separately and manually.
  • Create a Network: You can create virtual private clouds on AWS. These can be isolated from the Internet, or you can add a public-facing subnet that makes part of your network accessible from the Internet.You can also create a hardware virtual private network (VPN) connection between your network and AWS in order to create a hybrid solution in which part of your IT infrastructure runs in your physical data center and part of it runs in your virtual private cloud on AWS
  • Manage My AWS Resources: AWS provides several services that help you monitor, manage, and configure your AWS account and resources.

15 October 2015

Amzon Web Services Vs Other CLOUD models

The first key difference between AWS and other IT models is flexibility. Using traditional models to deliver IT solutions often requires large investments in new architectures, programming languages, and operating systems. Although these investments are valuable, the time that it takes to adapt to new technologies can also slow down your business and prevent you from quickly responding to changing markets and opportunities. When the opportunity to innovate arises, you want to be able to move quickly and not always have to support legacy infrastructure and applications or deal with protracted procurement processes.
Cloud Computing Jobs
[Cloud Computing Jobs]

Related: Cloud computing certification course

In contrast, the flexibility of AWS allows you to keep the programming models, languages, and operating systems that you are already using or choose others that are better suited for their project.

You don’t have to learn new skills. Flexibility means that migrating legacy applications to the cloud is easy and cost-effective. Instead of re-writing applications, you can easily move them to the AWS cloud and tap into advanced omputing capabilities.

Building applications on AWS is very much like building applications using existing hardware resources. Since AWS provides a flexible, virtual IT infrastructure, you can use the services together as a platform or separately for specific needs. AWS run almost anything—from full web applications to batch processing to offsite data back-ups.

In addition, you can move existing SOA-based solutions to the cloud by migrating discrete components of legacy applications. Typically, these components benefit from high availability and scalability, or they are self-contained applications with few internal dependencies. Larger organizations typically run in a hybrid mode where pieces of the application run in their data center and other portions run in the cloud. Once these organizations gain experience with the cloud, they begin transitioning more of their projects to the cloud, and they begin to appreciate many of the benefits outlined in this document. Ultimately, many organizations see the unique advantages of the cloud and AWS and make it a permanent part of their IT mix

13 October 2015

4 Key features in Industrial Internet and IoT

[JAVAa and IOT latest Career Options]
[JAVAa and IOT latest Career Options]
The Industrial Internet, is somewhat similar to the Internet of Things (IoT), sometimes even referred to as the “Industrial Internet of Things”.

The general idea behind the IoT is that many hi-tech and simple electronic devices would become interconnected with M2M (Machine- to-Machine) protocols, and therefore remotely controlled and relaying data to each other, without any manual input, or even equipped with ambient intelligence.

This idea is currently used in smart houses, and many seek wider applications. Its industrial counterpart can be viewed more from a resource and manufacturing perspective. We can currently see such trends in mining, with automated trains, robotic hauling trucks, excavators, drills, and mineral processing plants, including remote fault, and malfunction control, calibration, and configuration for increased efficiency.

Despite the current and constant need for “on-site” human workers and operators, the trend is moving towards eliminating the human factor to the required minimum, thus a single central operation control room could remotely operate and supervise several operation sites. Human operators could also be issued with remote ATLAS-like humanoid substitutes if necessary.

11 October 2015

Top Key Architecture Components in HIVE

Hadoop+Hive Components
Hadoop+Hive+Jobs
5 architectural components presnet in Hadoop Hive:
  • Shell: allows interactive queries like MySQL shell connected to database – Also supports web and JDBC clients
  • Driver: session handles, fetch, execute
  • Compiler: parse, plan, optimize
  • Execution engine: DAG of stages (M/R,HDFS, or metadata)
  • Metastore: schema, location in HDFS,SerDe
Data Mode of Hive:
  • Tables
– Typed columns (int, float, string, date,boolean)
– Also, list: map (for JSON-like data)
  • Partitions
– e.g., to range-partition tables by date
  • Buckets
– Hash partitions within ranges (useful for sampling, join optimization)

HIVE Meta Store
  • Database: namespace containing a set of tables
  • Holds table definitions (column types, physical layout)
  • Partition data 
  • Uses JPOX ORM for implementation; can be stored in Derby, MySQL, many other relational databases
Physical Layout of HIVE
  • Warehouse directory in HDFS
– e.g., /home/hive/warehouse
  • Tables stored in subdirectories of warehouse
– Partitions, buckets form subdirectories of tables
  • Actual data stored in flat files
– Control char-delimited text, or SequenceFiles
– With custom SerDe, can use arbitrary format

10 October 2015

Top IT Skills You Need to become a IoT Developer

Jobs in Internet of Things
(IoT Basics)
Internet of things is a new subject. In this area lot of development is going on. Recently, AWS (Amazon web services) developed a platform for Internet of things.

This is big Question for IT freshers or experienced IT professional what technologies they need to learn to start a career in this line. As a general rule I have found the following are general requirements for Internet of things (See Internet of things jobs here).
  • Java + multiple programming languages (objective-C, C++), and interest in technologies such as Ruby, Scala, Clojure, Groovy, etc.
  • Experience in javascript libraries in any combination of the following areas: jQuery, AngularJS, Backbone.js, Ember.js, Node.js, GWT
  • Development experience in open source projects, especially large scale projects a plus.
  • Experience developing at home projects used by a medium to large size audience a plus.
  • Someone who is published, especially in development books and articles a plus.
How CISCO is responding on the development of IoT:

The Internet of Things (IoT) is increasing the connectedness of people and things on a scale that once was unimaginable. Connected devices outnumber the world's population by 1.5 to 1. The pace of IoT market adoption is accelerating because of:

  • Growth in analytics and cloud computing
  • Increasing interconnectivity of machines and personal smart devices
  • The proliferation of applications connecting supply chains, partners, and customers

09 October 2015

How Internet of things concept evolved and benefits

IOT Jobs and Career
(Internet of things jobs,Skills)
These five reasons why the concept of internet of things evolved:
  1. More mobile phones than fixed
  2. New architecture models (ex: Cloud computing)
  3. New protocol (Ipv6)
  4. Everything is Sensor-laden
  5. More machines than people
The other important concept is internet will be double in size every 5.32 years.
More devices can be connected to internet through IP.

The internet limitation in IPv4 is 4 billion addresses. But, the internet limitation for IPv6 is 2^128. The total IP traffic over internet is 1 Zetta Byte as of 2011.

The next big opportunity is Wisdom from Data:
Data ==> Information ==>Knowledge ==> Wisdom

07 October 2015

JSON and XML for Big data engineers

JSON and XML Online course
JSON Online course
JavaScript Object Notation (JSON) was invented by Douglas Crockford as a subset of JavaScript syntax to be a lightweight data format that is easily readable and writable by both humans and machines. In general, JSON is considered terse when compared to other interchange formats. After you become familiar with JSON, you will find it fairly easy to read complex JSON data structures. Even though JSON is based on a subset of the JavaScript programming language, it is considered language independent.

The flexibility of XML has made it increasingly prevalent in programming environments. Unlike the Unix® world, where configuration files are usually text files with either tab-delimited name/value pairs or colon-separated fields, configuration files in the open source world are often XML documents. Most well-known application servers also use XML-based configuration files. The Ant utility relies on XML-based files for defining tasks.

A tremendous amount of data in the business world and scientific community does not use the JSON or XML format. To give you some perspective, roughly 80% to 90% of all software programs were written in either COBOL or Fortran™ in the early 1990s (and NASA scientists were still using Fortran in 2004). Therefore, data integration and migration can be a complex problem. The movement toward XML as a standard for data representation is intended to simplify the problem of exchanging data between systems. You probably already know that XML is ubiquitous in the Java world, yet you might be asking yourself one question: What's all the fuss about XML? In broad terms, XML is to data what relational theory is to databases; both provide a standardized mechanism for representing data.

A nontrivial database schema consists of a set of tables in which there is some type of parent/child (or master/detail) relationship in which data can be viewed hierarchically. An XML document also represents data in a parent/child relationship. One important difference is that database schemas can model many-to-many relationships such as the many-to-many relationships that exists between a student's entity and a class's entity. XML documents are strictly one-to-many, with a single root node. People sometimes make the analogy that XML is to data what Java is to code; both are portable, which means you avoid the problems that are inherent in proprietary systems.

Read more:

06 October 2015

How learning JAVA is beneficial to boost Your career

Java -Big data Key Skills
(Search for Java, Big data, Hadoop
Key Skills -Today!)
Java -Java is a technology from Oracle (formerly: Sun Microsystems).Since 1995, when Java was first presented; there has been strong and growing interest for java security. Java can be defined as a general-purpose, concurrent, class-based, object-oriented computer programming language that is specifically designed to have as few implementation dependencies as possible. This language is intended to let application developers "write once, run anywhere" (WORA), meaning that code that runs on one platform does not need to be recompiled to run on another. This means that the Java applications are typically compiled to bytecode (class file) that can run on any Java virtual machine (JVM) regardless of computer architecture.

Related: Learn JAVA development certification program

Introduction - In Java language/platform one of the main design considerations is to provide a secure environment for executing mobile code. Java language is widely used and has its own unique set of security challenges. With the help of the Java security architecture we can protect users and systems from hostile programs downloaded over a network, it cannot defend against implementation bugs that occur in trusted code. The  bugs in our code can inadvertently open the very holes that the security architecture was designed to contain, including access to files, printers, webcams, microphones, and the network from behind firewalls. In severe cases local programs may be executed or Java security disabled. These bugs can potentially be used to turn the machine into a zombie computer, steal confidential data from machine and intranet, spy through attached devices, prevent useful operation of the machine, assist further attacks, and many other malicious activities. The choice of language system impacts the robustness of any software program. The Java language and virtual machine provides us with many features to mitigate common programming mistakes.

Related: Learn Cloud Computing Online Course

Java Security -In today’s world hacking is done for both ethical and unethical reasons. A lot of security professionals and hackers are permanently trying to break out each security system, and they use more and more sophisticated ideas, approaches and tools. So software systems producers have also to improve their products permanently, and make them more reliable, secure and proof to different kinds of attacks.

The Java platform was designed keeping in mind security. As we know at its core, the Java language itself is type-safe and provides automatic garbage collection, enhancing the robustness of application code. A secure class loading and verification mechanism ensures that only legitimate Java code is executed. Java programs and libraries check for illegal state at the earliest opportunity. These features also make Java programs immune to the stack-smashing and buffer overflow attacks possible in the C and to a lesser extent C++ programming languages. These attacks have been described as the single most pernicious problem in computer security today. The explicit static typing of Java makes code easy to understand and the dynamic checks ensure unexpected conditions result in predictable behavior -- which makes Java a joy to use.

Java Security at Language Level
Security in Java is enforced through a number of mechanisms. We can see Java Security implemented via basic language features:

Java is simplified and easy to use. If we compare Java with other languages like C++ it is much simpler.  Java is strictly object-oriented. In Java we know the wrapper classes defined even for the simple data types, and there can be no structures outside classes. Thus all security-related advantages of the object-oriented paradigm can be used. Java has Final classes and methods.

In Java Language Security this feature disallows sub-classing when applied to class definitions and disallows overriding when applied to method definitions, and prevents the undesired modification of certain functionality. We know that Java is a strongly typed language.

Polymorphism is a very powerful object-oriented feature, but it holds potential risks of masking hostile objects. Both the compiler and the runtime checking disallow such possibilities, because no assignment can be made if object types are incompatible. One of the features we know in Java language is automated memory management with no direct use of pointers and address arithmetic. Availability of this feature disallows incorrect memory access and minimizes the probability of memory leaks, unauthorized data access and runtime crashes.

Read more: JAVA jobs and Career options

05 October 2015

6 IT skills you need to be successful in IoT (Internet of things) Career

http://www.indeed.com/jobs?q=Internet+of+things&l=United+States&indpubnum=6634974704162507
[Jobs on IoT]
The following 6 skills needed to become successful in IoT career:

Business Intelligence: Collect, store, & analyze smart device data streams, sensor data
analysis, data center management, predictive analytics, and programming skills in
leading big data platforms

Information Security: Vulnerability assessment, PKI security, ethical hacking, wireless
network security, data ethics, and privacy policies

UI/UX Design: Ability to develop effective, user-friendly interfaces, responsive web
design, and service design

Mobile Development: Knowledge of mobile apps that communicate with external
hardware and sensors

Hardware Engineering: Develop and install Wi-Fi™, Bluetooth®, and other connectivity
solutions, computer-aided design, micro-electromechanical systems engineering,
wireless sensor design, and quality assurance

Networking: Design, maintain, and optimize large-scale traffic across secure,
reliable, and redundant backbones that connect different destinations with knowledge
of typical wireless connections, EFID, and emerging wireless protocols

MapR superior features in big data analytics to read now

Map R features
MapR features
In the following post I have given information about MapR and its popular features. The MapR’ is a San Jose, California-based organization code corporation that progresses and vends Apache Hadoop-derived code.The corporation gives to Apache Hadoop programs like HBase, Pig (programming language), Apache Hive, and Apache ZooKeeper.

Apache Hadoop and Apache Spark, a distributed file system, a multi-model database management system, and event stream processing, combining analytics in real-time with operational applications. Its technology runs on both commodity hardware and public cloud computing services.

MapR was picked by Amazon to supply an improved variant of Amazon’s Elastic Map Reduce (EMR) facility MapR has as well been picked by Google as a technics collaborator. MapR was capable to split the minute type pace record onto Google’s calculate program.


"MapR delivers 3 adaptations of their article familiar like M3, M5 and M7. M3 is a gratis variant of the M5 article with debased obtainability attributes. M7 is like M5, however joins a aim assembled revision of HBase that executes the HBase API immediately in the file-system level.

MapR is confidentially held with first financing of $9 million as of Lightspeed Venture Partners and New Enterprise Associates eversince 2009. 

Key MapR top-managers come as of Google, Lightspeed Venture Partners, Informatica, EMC Corporation and Veoh. MapR had an extra circular of financing guided by Redpoint in August, 2011. A C circular was guided by Mayfield Fund that as well contained Greenspring Associates as an Investor.

04 October 2015

Dynamics of "Code Halos" in the age Digital world

[IoT -Code Halos Career]
[IoT -Code Halos Career]
“Code Halos – the information that surrounds people, organizations, and devices – are today's digital fuel. Every click, swipe, and view, every interaction and transaction generates a halo of code – a "virtual self" – that's robust, powerful, and rich with meaning and insight. You can go with an excellent book on Code halos.

Code Halos are a given in our personal lives; however, they are increasingly vital to every organization's future business success.” Research conducted by Cognizant's Center for the Future of Work reveals that organizations that create, share, and distill meaning from Code Halos are dominating their industries.
The dynamics of Code Halos is realized in our ever-increasing daily interactions across the web like social media, e-commerce, file sharing, smartphone apps, and other computing devices.

Moreover there are multiple layers of interdependencies between each of these interactions that create a unique virtual identity termed by Cognizant as Code Halos. Accordingly, it is a halo of digital information connecting people, organizations, processes, and devices.

Extending the Code Halos idea to other meaningful data at the enterprise level unravels some interesting examples: Insurance companies Allstate and Progressive and others are using very specific driver data, collected in many cases through telematics devices, to create new kinds of commercial models for personal and auto insurance.

Read more: Internet of things-part-6

Disney has created its MagicBand system where it has encoded user credit card information and what kind of things consumers are interested in; it helps users get a very personalized theme-park guest experience based on data and information, and it’s all encoded in a wristband. In manufacturing, GE creates code halos around their jet engine with hundreds of sensors built into the engine, generating data useful for GE and airlines. It’s lowering costs, improving safety, and efficiency, and there are many business benefits.

Read more: Code Halos -How digital lives of people changing the world.

03 October 2015

How Internet of things connecting devices by 2020

Code Halos in IOT
Code Halos in IOT
According to a Cisco Internet Business Solutions Group (IBSG) study in 2011, the IoT was ‘born’ sometime between 2008 and 2009. Looking to the future, Cisco IBSG predicts there will be 25 billion devices connected to the Internet by 2015 and 50 billion by 2020.

So how big is the economic impact?

The Wikibon research ‘Worldwide Industrial Internet Analysis Projection, 2013’, estimates Industrial Internet technology spending at $514 billion and value delivered at $1.3 trillion by 2020. Recent IDC research cites “Explosive growth in cloud and number of Internet-connected devices is expected to propel the Internet of Things market globally to $3.04 trillion in 2020”.
Related: IOT-Internet of things basics-part:1

Thus, the potential of Code Halo opportunities led by IoT is gaining unprecedented traction and is expected to drive unparalleled growth across industries. While IoT lays the foundation for Code Halos; the technology industry would undergo a sea change in miniaturization of sensing and detection, embedded digital processing, SMAC, and communication. Each would have varying levels of complexity, maturity, market adaptability, and service impact based from one user or industry to another.

Code Halos through IoT combines technology, individual, and public interests to take us to the next giant leap in the Internet-led revolution that will change business models, technology focus, and customer experience affecting daily lives. Improving real-time or near real-time sensing and data processing, enabling intelligent task execution, and simplifying communication introduces the unique value proposition of supporting almost anything anytime, anywhere – the new digital computing paradigm.

Top requirements for successful MapReduce jobs

The following techniques are needed to be successful of your map reduce jobs:
  • The mapper must be able to ingest the input and process the input record, sending forward the records that can be passed to the reduce task or to the final output directly, if no reduce step is required.
Mapreduce Jobs in Hadoop
Hadoop-MapReduce
  • The reducer must be able to accept the key and value groups that passed through the mapper, and generate the final output of this MapReduce step.
  • The job must be configured with the location and type of the input data, the mapper class to use, the number of reduce tasks required, and the reducer class and I/O types.
  • The TaskTracker service will actually run your map and reduce tasks, and the JobTracker service will distribute the tasks and their input split to the various trackers.
  • The cluster must be configured with the nodes that will run the TaskTrackers, and with the number of TaskTrackers to run per node. The TaskTrackers need to be configured with the JVM parameters, including the classpath for both the TaskTracker and the JVMs that will execute the individual tasks.
  • There are three levels of configuration to address to configure MapReduce on your cluster. From the bottom up, you need to configure the machines, the Hadoop MapReduce framework, and the jobs themselves.
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02 October 2015

2 Different sources of defects in Software development

Miscommunication is a common factor, which can be defined as inaccurate statements or information missing that is required for the action to be done successfully. This miscommunication ends up in the documentation or verbal communication that occurs.

Instead of spending time to make sure everything is accurate, statements are made that are untrue or unclear. When this occurs at the beginning of the change process the bad information continues down through the process. Decisions and design are made based on it. At some point it gets realized that the information is bad and a defect is created. In the common project process that could be classified as linear, most defects are not found until in the later phase of development and unit testing has started.

[More IT Development Jobs]
[More IT Development Jobs]
The other type of defect is a system-generated result.

This would be similar to a defect a machine makes in manufacturing. Even though the input is accurate, the process itself causes a defect to occur. The original process was prone to defects no matter how careful the work was done. Randomly at some point in time a widget would not be created correctly. When the process was changed to reduce the number of handoffs and some steps were moved around, the possibility of creating a defect was reduced.

This same concept occurs with processes. As processes add more handoffs and complexity, the process itself is introducing more spots in which a defect can occur, which increases the possibility of defects occurring. It becomes a catch 22 in that when companies have issues with the number of defects, they create more complex processes to try to stop them from happening. By doing this they only add to the problem. The defects initially do go down, but it's only because of the amount of additional resources and the priority given to the defects. Once both resources and priority are moved to other things, then the defect counts go back up and might even increase because with the more complex process there are more spots in which a defect might occur.

It would be wonderful if processes could be made to eliminate all defects, but they don't. There is always some unique situation—whether machine or human—that will always create a defect. Attaining zero defects in most situations is impossible. The best that can be done is to greatly reduce the risk of having a defect. This is not to say that each defect does not need to be analyzed, but every defect does not need to be resolved. For system-generated ones it might not be monetarily feasible to make changes to eliminate them from happening. Even Six Sigma addresses this by originally stating that the quality goal is to obtain 3.4 defect parts per million (PPM) opportunities. It would be impossible and also very costly to attempt to obtain a defect ratio of 0.00.

W. Edwards Deming's point #3 states that processes need to be created so that instead of opening up the possibility of defects occurring they will eliminate defects. If the possibility of defects is eliminated, then no rework and mass inspections are needed. Companies need to look at their processes and make changes to reduce the possibility of defects. Fewer handoffs in a process is a good start. Proper staffing of work is another process.

UNIX Shell script to know greatest value among three values

Unix Script Example
Unix shell script program to find greatest of value.

$vi prg2 ======================== clear echo "enter the value of a b c" read a read b read c if test $a -gt $b -a $a -gt $c then echo "a is greatest" else if test $b -gt $c then echo "b is greatest" else echo "c is greatest" fi fi

01 October 2015

Amazon web services great option to boost your career"

I have explained in simple terms why learning AWS is highly useful your career. Since there are lot of opening in this field.

To be specific, Cloud storage is an online storage facility which is given to users so that they can use external servers to store or host their data. Most of the business organizations need large storage capacities. Moreover, businesses need storage capacities to be clubbed with mobility. Due to this, Cloud computing has become very popular in the last few years.

Amazon Web Services or AWS makes sure that anything digital is securely stored and available anywhere. Due to the same reason, Amazon Cloud computing is the most widely used and popular Cloud service on the Internet. In this post, we will tell you about some general benefits of using Amazon Web services. We will tell you how Amazon Cloud computing helps your organization.

Benefits of using Amazon Web Services:
Amazon Web services provide a lot of benefits to a business organization. These benefits allow you to maximize your productivity, and enhance efficiency. Here is a list of some of the common benefits provided by Amazon Cloud computing.
[High salary Cloud computing Jobs!!]
[High salary Cloud computing Jobs!!]

Related: AWS CloudFormation and Making Template

Minimal Costs - Most of the time, upfront costs of using Amazon Web Services are nil or negligible. Therefore, Amazon Web services are cost effective for business organizations. Most of the service providers just require a monthly subscription fee. Moreover, this fee is in-line with actual usage. This means that customers have to pay for only what they use or need. In fact, most of the companies consider this monthly subscription as an operational expense. This actually acts as a financial incentive.

Round the Clock Support - Amazon provides round the clock support and maintenance services. Round the clock services ensure that you have help whenever you need. Hiring your own staff can be an unnecessary cost. Most of the service providers offer technical support so that technical experts can easily troubleshoot any problem that your organization might face at any time.

High Availability - When you are using Amazon Web services, you will be able to access your data from anywhere at any time. Amazon Web services make sure that your data storage and retrieval needs are completely simplified. AWS is the next big phenomenon in Information Technology. Amazon Cloud computing empowers your business organization to provide a wide array of services such as website hosting, eCommerce, customer relationship management and application hosting.

Amazon Web services provide the boost, which your business needs to grow and have an edge over your competitors. There are many service providers in the market offering Amazon Cloud Services and Amazon Web Services (AWS) at affordable prices. Amazon Cloud computing can be very beneficial for your business organization.

Since AWS has many features, in the market there are many job opportunities.

Related: Learn cloud computing online course

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