How Developers Can Get More Out of Hadoop?

Published on: 06 April 2016 Last Updated on: 12 September 2024
inner-img

“Time is money” for every organization that seeks to spend time to market, anticipate, and hear requests of the clients and offer them new products and services. Handling data can become tough but Hadoop developers in India are handling it well with the help of big data processing tool. Such tools are extensively used by organizations to help businesses in acquiring real-time insights into the business. If you are also among those developers, you can make optimum use of Hadoop technology using the framework in many ways –

1. Move faster

Just by switching to Apache Spark from data integration jobs built with MapReduce, you will be allowed to complete development jobs two and half times faster. Once the conversion of jobs is done, when you add spark-specific components for positioning and caching, you can enhance the performance five times than before. When you increase the RAM, you can do more stuff in memory and live a 10-fold improvement experience in productivity.

2. Get smart

As you can process big data in real-time, it is still important to perform smart processing data in real-time. In order to enhance the IQ of the query, Spark leverages machine-learning, which allows customizing web content to triple the number of page views. It also enables you to deliver targeted offers that can help double conversion rates. This means you are driving more revenue along with delivering better customer experience.

3. No hand coding

Developers can program anything discussed in this post in Spark, Java, or in Scala. However, there is still a better way. If you are relying on a visual design interface, your productivity can be increased by 10 times or even more.

You can make a start by using a big data sandbox, with Spark.

Ask for assistance from hadoop developers in India if you don’t know how to start.

Abdul Aziz Mondol is a professional blogger who is having a colossal interest in writing blogs and other jones of calligraphies. In terms of his professional commitments, he loves to share content related to business, finance, technology, and the gaming niche.

View all posts

Leave a Reply

Your email address will not be published. Required fields are marked *

Related

kitchen-

Experts Recommend: Top Interior Design Trends for 2017

Unquestionably, 2016 has been a prominent year in various spheres; starting from refreshing fashion couture to unimaginable makeup trends all the way to advanced technology fields and business opportunities. It’s certainly not surprising to witness a complete revelation in terms of interior design. This year, globally recognized designers have made it their goal to create distinctive design concepts which will give the modern home a more expressive appeal. Customized interiors, exhilarating tones, and lavishness of decorations are just the beginning of this journey, so buckle your seat belts as we’re taking you on a tour of the top interior design trends for the following year. Minimalism with a Twist While 2015 was a year of utter minimalism characterized by sterile environments and impersonal spaces, this year minimalism is getting a new form. The accent is not on decluttering the space and creating a bland surrounding, but on designing functional, multi-practical areas. There will be no place for useless decorations that just gather dust, but only for fully functional objects which serve a purpose. The goal is to create a space that will comply with the busy modern lifestyle and give people a home that’ll work in their favor, alleviating any processes that need to be done. Colours of Serenity Another refreshing feature we’ll welcome into our homes is the astonishing use of color in the space and a clever combination of contrasting hues. With the rapid lifestyle of the modern age, people have been in dire need of a tranquil ambiance, a sanctuary that’ll provide a sense of calmness. Pantone has decided to take the game to the next level by announcing not one, but two colors of the year: rose quartz and powder blue serenity. When combined, the two contrasting shades offer a truly mesmerizing sensation of peacefulness and composure, while their disparity gives the space a remarkable appeal. Read also: How to Bring Summer into Your Space Warm Metals The use of materials is getting a new dimension in 2017 as we’ll be seeing a lot of seemingly contradicting and repairable mixtures of different material types. Warm metals such as brass, copper, and gold in combination with glass, raw wood, and natural stone have the ability to give a sensation of rough luxury while implementing iron, stainless steel and marble details will give your home a touch of glamor and a superb sophisticated allure. Sustainable Households Over the course of years, the importance of eco-friendly practices and sustainable spaces has become quite prominent. Many people have embraced the greener lifestyle by relying on different systems and methods of interior design which conform to these environmental beliefs. The presence of plants and lush vegetation is only the beginning of a sustainable residence, as there’s also an accent on the use of natural sunlight and skylight installations, the use of green appliances and creating indoor gardens. Everything is designed following the basic principles of green architecture, whose sole goal is creating sustainable homes that’ll benefit both people and the environment. Refreshing Decorations In terms of decorations, this year is all about cultural diversification and practical use. The use of decorations is going to be focused on functionality such as bedside tables or lamps which have the ability to wirelessly charge all electronic devices. A clash of cultures is also quite prominent in 2017, as indigenous nations are going to provide inspiration for ornamental features such as Scandinavian flatweaves, African-inspired decorative concrete or the use of decorative materials sisal and jute, native to India. These aspiring ideas in interior design are going to mark the year 2016 with its distinctive features, refreshing designs, and remarkable concepts. The trends are always following the advancing lifestyle of humanity in order to create a convenient, pleasant and most importantly – a functional sanctuary that’ll provide its residents with everything they require. Read More: 5 Good Luck Plants That Deserves A Place In Your Home Best 5 Designer Secrets To Make The Most Of Small Spaces How To Make Your Home Look Like A Splendid Hotel? 6 Expert Tips For Finding The Right Home To Buy

READ MOREDetails
Python Made Machine Learning

How Have Python Made Machine Learning Convenient?

In the world of software development, Machine Learning also known as ML and Python are the two most popular terms that are in the current craze. Python is a high-level software programming language that has become the underlying base of many famous applications like Nextdoor, Instagram, etc. Machine Learning is a very important part of Artificial Intelligence (AI). Both of them target towards improving the many aspects of computer applications in their own different ways. Python is a programming language that is extremely easy to understand because of its simple syntax structure. As a result, developing the applications becomes a quite easy and simple yet strong framework. Machine Learning, on the other hand, helps an application to self-improvement without any prior programming. Integration of Python with Machine Learning has offered a number of benefits to the candidates because of which, candidates are able to work in this field more conveniently and efficiently. In order to understand how Python has made things convenient for the individuals, it is important to understand the various facilities of machine learning with Python. How Have Python Made Machine Learning Convenient? Ease of Understanding: As discussed above Python is one of the simplest forms of programming applications. Since, Machine Learning consists of complex algorithms, having one easy language to form the structure increases the code readability and decreases its maintenance. Vast Libraries: The huge volume of libraries that are available in Python for Machine Learning’s disposal is simply amazing. Some of the famous libraries are Numpy and SciPy for respectively for scientific computation and advanced ones. Data Analysis and Mining heavily rely on SciKit- learn. One framework named PyTorch is specially developed for Machine Learning. Other popular frameworks include Apache Spark, CNTK, TensorFlow, etc. Better quality output: Python is easy to understand and develop leaves the developers with plenty of time to increase the quality of Machine Learning application. The trial and error time on the complex algorithms is much less thereby providing plenty of space for improvement. The result of such an effort is usually very satisfying providing the end user with a pleasant experience. Extensive Support: The community of Python and Machine Learning Developers is ever increasing. In case, one stumbles in any area for their development, there is a horde of solutions available that are provided by the members of this huge community. Help is just a click away for any issues that one encounters during the course of development Flexibility: The flexibility the Python provides in developing frameworks for Machine Language is just amazing. The numerous approaches that can be used in development are lucrative for the designers and the developers. Linking data is altogether quite different becomes very easy for Python based Machine Learning frameworks. Name and Fame: The popularity of Machine Learning with Python base is on high demand. As a result, more and more people are inclining to learn and use the combinations. Therefore, it is easy to get such trained individuals in the market and get the job done. Higher Career Opportunities: In the hindsight of the previous discussion, more and more companies and organization are changing their base towards Python based Machine Learning frameworks. Therefore, job opportunities are increasing. This results in getting better jobs where the pay is extremely good and rewarding. Fewer Trials and Tribulations: Since Python has such a huge number of libraries, there is no practical need to compile the language in the instructions of the Machine Learning beforehand. It can be directly used in the program. Needless to mention, it saves time and effort which the two essential factors in any development and delivery. Cost Saving: It is a known fact that Python is an open source language that can be used freely in the system without any licenses. This aspect saves a huge amount of money that is otherwise spent on licensing fees across numerous platforms. The cost saving is immense which increases the budget of the project thereby increasing the quality in general. Dynamic Support: Machine Learning is a fast-paced framework that needs dynamic support. There are very less number of high-level programming languages in the current market that can provide such support, except that of python. Platform That Is Quite Independent: The flexibility that Python provides urges the developer to use it in any Machine Learning platform. This independence of platform that can be seen in the case of Python is making it extremely handy for a Machine Learning project that leads to successful development. Statistical Modeling: The model that can be used to develop a Machine Learning framework can be many. Python helps to create statistical modeling for the Machine Learning that is easy to comprehend and maintain. Data Set Maintenance: The first step towards developing a successful Machine Learning framework is to maintain a strong data set. Data set can be defined as a collection of information that the Machine Learning uses to enrich its algorithms. Using Python to set up the data set for Machine Learning is extremely easy and hassle-free. No Learning Hassles: As previously mentioned Python is easy to understand. This causes no learning hassles for individuals. Therefore, creating able developers with Python knowledge for Machine Learning frameworks becomes quite easy and less time-consuming. Easy Transition in Research: The machine learning frameworks that are primarily developed for the research projects rely heavily on Python as their base. Research projects related to pattern recognition or data analysis do not have enough time or budget for complex development languages. In such scenarios, Python provides the best solution with its ease of understanding and easy comprehensiveness. Customization Is Quite Convenient: Python’s flexibility with its easy to understand programming syntax and platform independence actually helps it to be customized to any need. A solution fits in all the needs and requirements without much hassle. Highly Adaptable In Nature: Python is a programming language that is quite easy to comprehend. The range of its comprehension is on a global scale. Even a fourteen-year-old kid would be able to understand and code in Python. This aspect increases its adaptability in the numerous Machine Learning platforms that are widely used across various areas. No Space Crunch: Machine Learning is all about efficient data handling and the way an application with the use of available data can do a better performance without any human intervention. This requires a lot of server space to load various kinds of data to feed into the respective algorithms. Python’s easy code requires much less space as compared to others. Therefore, it saves precious server space to accommodate more data thereby increasing the Machine Learning performance. Conclusion: The rising popularity wave of Python and Machine Learning will not go away that easily. Therefore, it is high time that both these aspects should be learned and implemented. Learning them would open different doors for numerous opportunities. Python because of its easy comprehensiveness will be the only weapon to code Machine Learning in the near future. It is always advised to future ready with an enhanced skill set. Machine Learning will slowly have a huge impact on the world we live in. Understanding and controlling machine learning would be the only way to survive in the cutthroat competition. Using the weapon of python one should start conquering the area of Machine Learning. It is the best buddy that developers want to be friends. The benefits would be extremely rewarding when one integrates the programming language of Python with the various aspects of Machine Learning framework. Read Also: How Developers Can Get More Out Of Hadoop? Kids Will Get These Benefits If They Learn Coding New Platforms To Explore In Advertising This Year 5 Things To Take Into Account To Hire Custom Software Development Services Coming Soon: A New Tech Challenge For Lenders – UMDP Data Standardization To Aid Closing

READ MOREDetails
slider-img

Questions To Ask When Working With A Web Developer

I've been a web developer for 5 years now. There's quite the learning curve with web design, even AFTER school. You have to deal with customers, you have to manage expectations and deadlines, you have to manage your billing and finances, all of which were not included in the code and design classes that I took. This is just the business side of things, as you can probably tell I'm a little taken aback by it all. But then there's the coding aspect of the business. The coding side of things is where I really excel. I love being a web designer. Making websites look and perform great has really turned into a passion of mine. But I've noticed that a lot of developers out there struggle with a lot of aspects of being a professional web designer. Let's face it, a lot of developers produce work that is not up to par. Either they have designs that are super basic and lame, or the websites are not made to meet your goals and help your business. any of these issues could be bad for a new business that will be relying on their website for leads or a professional presence. I've outlined the following questions to help you better understand what you should be looking for when you are going to work with a web development company or freelancer. As a business owner, It is important that you ask these questions before you pay someone for their services. 1. Do you have live examples I can see? I  am amazed at how most people either have a problem they need solved or they have an expectation or design in mind, but they never ask to see examples. Everyone's idea of "great" is different. It's important to see examples of their work and judge if they would be a good fit for you. If there are concerns, asking the developer questions is a good way to address them. 2. Do you have a degree in web development? When? How do you stay up to date This is an important question, and just as important is asking them when they did if they did. There are a few great selves taught web developers out there, who learned from non-traditional means. The most important information that this question will give you is in the third part. Web development is not a static skill set. It changes fast and often, and someone who has incorporated constant learning about their field into their work or life routine will improve your odds of getting some of the best developers. 3. What kind of web development do you focus on? This can mean a ton of things. But, if you explain your needs, like a high converting website, for example, the right developer for you will already have a few live examples to show you. "yea, I can do that" is not the right answer, the process and skill set for focusing on conversions need to be already developed, as well as deployed, tested, and documented. I hope this will help when you're choosing a web design and development professional to work with. This is a great start towards making sure you get the quality of work you desire and need, as well as getting your website and business goals met. Read More:  Best Office Design Trends For 2018 Top 5 Graphic Design Trends For 2017

READ MOREDetails