The below are the highest demanding and high-paying IT jobs in 2016 Wireless Network Engineers can expect a 9.7 percent increase in pay, ranging from $108,750-$150,750, which is the highest increase in starting salary of all IT jobs in our guide! What’s going on here? The general push toward wireless offices and the growth of mobile application development, which requires testing mobile apps in a wireless environment, are just a few reasons for the increased starting pay.  CRM Business Analyst -2015 salary: $84,500-$116,750 -2016 salary (est): $87,500-$126,000 - Percent increase (est): 6.1%  Data Modeler - 2015 salary: $101,750-$145,250 - 2016 salary (est): $106,750-$155,500 - Percent increase (est): 6.2%  Business Intelligence Analyst -2015 Salary: $108,500-$153,000 -2016 Salary (est): $113,750-$164,000 -Percent increase (avg): 6.2%  Data Scientists and Big Data Engineers are both projected to see an 8.9 percent increase in starting pay over 2015, ranging from $109,000-$153,

I hope you enjoyed my previous post. This is second set of Questions exclusively for Big data engineers. Read QUIZ-1 . Q.1) You have submitted a job on an input file which has 400 input splits in HDFS. How many map tasks will run? A. At most 400. B. At least 400 C. Between 400 and 1200. D. Between 100 and 400. Ans: c QUESTION 2 What is not true about LocalJobRunner mode? Choose two A. It requires JobTracker up and running. B. It runs Mapper and Reducer in one single process C. It stores output in local file system D. It allows use of Distributed Cache. Ans: d,a Hadoop Jobs and Career QUESTION 3 What is the command you will use to run a driver named “SalesAnalyisis” whose compilped code is available in a jar file “SalesAnalytics.jar” with input data in directory “/sales/data” and output in a directory “/sales/analytics”? A. hadoopfs  –jar  SalesAnalytics.jar  SalesAnalysis  -input  /sales/data  -output /sales/analysis B. hadoopfs  jar  SalesAnalytics.jar

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: 3 7signals, 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 ) 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

#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

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 does. To some, Scala feels like a scripting language. Its syntax is a concise and low ceremony; its types get out of the way because the compiler can infer them. There are 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. ✅ SCALA Quiz Link At the root, the language’s scalability is the result of a careful integration of object-oriented and functional language concepts

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. Real Meaning of 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. 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. Photo credit: Srini Role of Machine Learning 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

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 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