5 Technologies That Might Turn Startups into Multibillion-Dollar Ventures

Despite its stagnant appearance, the world is about to be hit by a massive way of digital transformation and technology-driven economic change eventually leaving us with two options, either ride that wave into a new era of prosperity…or be swept away by the wave. In the following post, you will come across five most dazzling technologies available in the “Golden Age” and how they might earn you a big fortune. Whether you are listed among the fortune 500 companies or a startup, these technologies can surely give you a head-start in your career. Go through them in order to satisfy your inner desire for doing any innovation in the world. Java Launched in 1995, Java is mainly used to develop Client-server web applications, J2EE web and enterprise applications all across the globe. Highly rich in APIs, Java offers API for I/O, networking, utilities, XML parsing, database connection, and almost everything. Online community- It comprises of a huge community from javaworld.com, oracle.com, javacodegeeks.com and many other popular sites. In addition to this, Java can even go for Android-based mobile application development. Well-known sites such as @LinkedIn, @Amazon, @Facebook ( @HBase, a java based #NoSQL DB), @EBay, @Googleplus, @Gtalk are powered by @Java. As of now, there are approx. 9 million Java developers. Python @Python was launched in 1994, a tool mainly used for web crawler development and data analysis. From @Microsoft Windows to #MacOSX, @Linux, and many other operating systems and devices, Python even works as a service. In fact, it is considered as one of the fastest growing fan base in past 10 years and has obviously increased in demand. It also has a diverse community support including python.org. Other than crawler development and data analysis, Python is used for small-form devices, such as the Raspberry Pi. In addition to this, the technology runs on microcontrollers — small, low-powered chips designed to run on embedded devices, appliances, remote controls and toys. Google, Facebook, YouTube, Yahoo Maps, Yahoo Groups, Bing, Reddit, Dropbox are some of the known companies making use of the technology. Android One of my favorites is Android! Launched in September 2008, Android is a mobile operating system based on Linux kernel and currently developed by Google. In the current scenario, there were total 1.5 million Android apps available with over 25 billion downloads. Further speaking about the development process, applications are usually developed in Java programming with the help of the Android software development kit (SDK). It is simply an open source operating system staked by Google, developed to run on any small electronic devices such as cell phones, tablets, e-books, netbooks, Media Internet Devices (MID). The hardware is developed by many different companies from all across the globe with famous brand names such as Samsung, Motorola, Sony, Dell, LG, HTC, Acer, etc. It is no surprise that the technology has a giant size community in the form of developers.android.com, androidcommunity.com. iOS Launched a decade ago, IOS is another leading mobile operating system created and developed by Apple Inc. and distributed exclusively for Apple hardware. Presently, it powers many of the company’s mobile devices, including the iPhone, Mac, Apple watch, iPad, and iPod touch. If we take a closer look at the current demand for IOS developers, it is increasing on the rapid basis. Owing to huge opportunities in eLearning, social networking, warehouse management, order fulfillment, orthodontia, accounting, consumer analytics, gaming, and image, data, and video analysis, the technology has major community support in the form of discussions.apple.com, enterpriseios.com. NodeJS Launched 27 may, 2009, NodeJS is an open source, cross-platform run-time environment for server-side and networking applications. The technology offers an event-driven architecture and a non-blocking I/O API that optimizes an application’s throughput and scalability. Commonly used for real-time web applications, the technology can also be run within Node.js runtime on OS X, Microsoft Windows, Linux, FreeBSD, NonStop, IBM AIX, IBM System z and IBM I. Companies involved: LinkedIn, PayPal, Netflix, New York Times. Due to healthy online community support has given rise to several NodeJS development companies like eTatvaSoft, theninehertz, espeo, itexus and many more worldwide. AS of now, there are tens of thousands of job requirements for the same. The demand for node JS is increasing at an exponential rate especially in the last five years. Final thoughts Just by looking at where we are today, we can already see how powerful technology has been in shaping our world. The introduction of new-fangled pieces of knowledge especially in the field of software development has radically altered this world in so many ways. Which eventually becomes even more evident in the continuous development of forward-looking devices and systems that people before never knew could exist.

https://bdaily.co.uk/articles/2017/10/12/5-technologies-that-might-turn-startups-into-multibillion-dollar-ventures

What’s new in Java EE 8

Although #Oracle has been mostly quiet lately about the progress of its enterprise #Java overhaul, that is likely to change soon with the impending arrival of Java Platform, Enterprise Edition 8, better known as Java EE 8. The upgrade retools enterprise Java for cloud and microservices environments. A vote on the Java Community Process specification for Java EE 8 is under way and is due to be completed on August 21. Java EE 8, the official specification states, is about simplification while extending the range of the platform to accommodate emerging technologies in the cloud and web. The specification also emphasizes HTML5 and HTTP/2 support.  [ Keep track of what’s changed in Java 9 in InfoWorld’s live changelog, “What’s new in Java 9.” | Keep up with hot topics in programming with InfoWorld's App Dev Report newsletter. ] Java EE 8 will support a multitude of Java technology specifications, including: ADVERTISING  JSON-B (JavaScript Object Notation Binding), providing a binding layer for converting Java objects to and from JSON messages. Updates to JSON-P (JSON Processing API), improving the object model. JAX-RS (Java API for RESTful Web Services) 2.1 reactive client API. JAX-RS support for server-sent events, offering a one-way channel from a server to a client. HTTP/2 support in Servlet. Java Servlet provides a programming class to extend server capabilities. Java EE Security API, accommodating cloud and PaaS paradigms. Bean Validation 2.0, leveraging Java 8 language constructs for use in validation. Bean Validation enables expression of constraints on object models using annotations. JavaServer Faces 2.3, for building server-side user interfaces. CDI (Contexts and Dependency Injection) 2.0, emphasizing asynchronous events. Java EE upgrades to come faster Java EE 8 will be followed next year by Java EE 9, as part of a two-phase effort to retool the platform for modern-day cloud and microservices deployments. Java EE 8 is centered on accommodations to configure services and on health-checking to manage services. The follow-up EE 9 release is slated to promote deployment of smaller units of services and a reactive programming model for building large-scale, event-based systems.

http://www.infoworld.com/article/3215135/java/whats-new-in-java-ee-8.html

5 Reasons Organizations Use Hadoop [INFOGRAPHIC]

#Hadoop, which as named after the elephant toy of the inventor of Hadoop, was developed because the existing data storage and processing tools appeared to be inadequate to handle all the large amounts of data that started to appear after the internet bubble. First it was #Google who developed the paradigm #MapReduce to be able to cope with the flow of data that came via its mission to organize the world’s information and make it universally accessible and useful. #Yahoo in turn developed Hadoop in 2005 as an implementation of #MapReduce. It was released as an open source tool in 2007 under the #Apache license.

Over the years, Hadoop has converted into an operating system at a very large scale especially focused on distributed and parallel processing of the vast amounts of data created nowadays. As is with any ‘normal’ operating system, Hadoop consists of a file system, is able to write programs, can manage distributing those programs and return the results afterwards.

Hadoop supports data-intensive distributed applications that can run simultaneously on large clusters of normal, commodity, hardware. It is licensed under the Apache v2 license. A Hadoop network is reliable and extremely scalable and it can be used to query massive data sets. Hadoop is written in the #Java programming language, meaning it can run on any platform, and is used by a global community of distributors and big data technology vendors who have built layers on top of Hadoop.

The feature that makes Hadoop so useful is that the Hadoop Distributed File System ( #HDFS ). This is the storage system of Hadoop that is able to break down the data that it processes into smaller pieces, which are called blocks. These blocks are subsequently distributed throughout a cluster. This distributing of the data allows the map and reduce functions to be executed on smaller subsets instead of on one large data set. This increase efficiency, processing time and it enable the scalability necessary for processing vast amounts of data.

http://www.smartdatacollective.com/bigdatastartups/277766/what-hadoop-and-five-reasons-organisations-use-hadoop-infographic