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What if you could get something that could do all your company’s maintenance and updating tasks? It would take a great proportion of technical burden from your shoulder, right? Azure cloud services are just like that. Around the world a large number of Fortune 500 companies are integrating Microsoft Azure into their business. With this secure, reliable and scalable cloud-enabled software, companies can create, test, deploy and handle all kinds of applications easily. Also Azure supports various operating systems, databases, programming languages, frameworks and devices while enabling businesses to make the best use of tools and technologies that they rely on.

Now, let’s consider the factors that make Microsoft Azure most sought-after business tool till date.

Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) functions

Microsoft Azure cloud services combine both PaaS and IaaS capabilities. While PaaS allows users to build their own apps and web solutions without buying them or taking care of the groundwork for that, IaaS ensures that companies can outsource infrastructure on Azure and pay only for what they are using.

Security

Azure has been created and designed on a leading security process, Security Development Lifecycle (SDL). It helps in securing all data and services on Azure cloud. It provides more than 50 compliance offerings with the best compliance coverage and is counted as the most reliable cloud platform by government institutions in the US.

Scalable and ductile Azure features

Azure allows smooth running of applications, scaling from 10 to 10 million users without the requirement for additional coding. With Microsoft cloud storage you can get safe, secure, ductile and performance-oriented storage facilities in cloud. You can change settings quickly and make use of more processors for using applications.

Creating hybrid connections on Microsoft Azure Cloud

Azure features great adaptability and flexibility and makes for a pretty reliable between public cloud and on-premise Microsoft cloud. It offers a wide scope of hybrid connections like content delivery networks, Virtual Private Networks (VPNs), ExpressRoute connections and caches to upgrade performance and usability.

Integration, intelligence and analytic capabilities

Microsoft Azure is the only cloud platform that offers machine learning, Blockchain as a Service (BaaS), cognitive APIs and bots. Azure PaaS assists in creating DevOps connections in order to check, manage and make small adjustments with apps constantly. Besides managing a huge part of the infrastructure management tasks, it saves time to keep focused on innovation and other business processes.

Cost-effective

With Microsoft’s pay-as-you-go structure, you pay only for the services that you use to create and extend resources accessing Azure. This naturally reduces the cost of IT administration since Microsoft takes care of the infrastructure on Azure. It creates connection between the cloud and data centers and makes the connection accessible in not less than 42 regions unlike any other cloud provider.

Need more reasons to opt for Microsoft Azure? Or need help in getting started with this cloud platform? Get connected with a top consultant in your locality today.

The Big Data Hadoop market is evolving at an exponential rate and industry experts predict that the chances of deceleration in the coming years is nil.

The knowledge of Big Data Hadoop can make a huge difference to your present career. It can help you get your dream job.

So, if there was a time to enroll for Big Data courses for beginners from Affluenz, it is now.

Do you need more convincing? If so, we have listed a few reasons below.

Learn Hadoop to comprehend other technologies

Yes, Hadoop is considered to be the gateway to other Big Data technologies.

A number of organizations have adopted this technology to manage their big data.

So, if you want to boost your career, you need Big Data Hadoop training from our experienced instructors.

Lots of Hadoop job titles up for grabs

Your technical background is of little importance when it comes to starting a career in Hadoop.

Learn Hadoop from Affluenz and get the right knowledge and skills to be a part of the industry. You can be a business analyst, data visualizer, data scientist, research analyst or a data architect.

You can even be a Hadoop architect, Hadoop admin, Hadoop developer or a senior software engineer. The attractive salary packages will surely entice you.

Hadoop is a revolutionary solution

When any other data warehouse scheme is compared, Hadoop comes out on top as the best alternative.

This is because Hadoop beats others in terms of scalability, performance, storage and also costs.

Hadoop has managed to revolutionize the way data is collected and also processed in real-time.

Additionally, this technology is going through a lot of enhancements and changes. So, sign up for our Hadoop online course so that you don’t fall behind.

Big Data Hadoop can be learned by anyone from different programming backgrounds

The variety of tools in the Hadoop Ecosystem can be used by professionals from various programming backgrounds.

So, even if you are a software programmer, you can write MapReduce jobs in Python or in Java. In case you have knowledge in scripting languages, you can consider Apache Pig.

The demand for Hadoop professionals is growing across the world and being translated into massive job opportunities for IT professionals.

The Hadoop jobs are suitable for warehouse experts, software developers, software architects, ETL professionals, database professionals and so on.

Learn Big Data Hadoop for lucrative salary packages

Yes, that’s right.

Knowing Hadoop can help you get fatter paychecks.

Wondering why?

It’s simple. The reason why companies are willing to offer attractive salary packages is because the demand for Hadoop professionals is higher than the availability of professionals.

So, if you want Big Data training, contact Affluenz. You can check out our Big Data course details, syllabus and course fees. If you have any questions, connect with us without any hesitation. Our team will walk you through the purpose and opportunities of enrolling for our Hadoop online course. We will also give you all the course material for your convenience. 

Ethical hacking refers to the practice of structured hacking that is performed by hackers to expose vulnerabilities of a computer, website or a mainframe. Ethical hackers deliberately hack into a system to check the system’s security and find out if there are any loopholes. Individuals who have ethical hacking qualification are hired by organizations for safeguarding their data against outside interference. As the number of black hat hackers have gone up, organizations are desperately looking to employ ethical hackers and are offering handsome salary packages.

The career prospects of a certified ethical hacker

In recent times, the threats of hacking have increased at an exponential rate. There was a recent report that surfaced regarding over 21 websites being hacked by black hat hackers. Among those websites, there was a budget website that belonged to the government of Andhra Pradesh. Since the website belonged to the government, the hacking made a lot of noise and gained a lot media attention. But, there are so many websites being hacked every second and nobody comes to know about them unless the website belongs to someone influential.

So, you should keep in mind that every second or minute there is a website, account or email out there that is prone to being attacked by black hat hackers. Also, this hacking is not location-specific. Hackers can hack any system from anywhere in the world.

When hackers attack websites or accounts belonging to a bank, government body or the IT industry, it leads to massive information and data leaks, and faulty announcements. Such things lead to creating a chaotic situation. This is a serious problem and can only be handled by those with an ethical hacker certification.

Ethical hackers are also known as white hat hackers and the work that they do are quite similar to that of black hat hackers. But, there is a difference. Ethical hackers hack into a system for the purpose of finding out loopholes so that it can be fixed and systems can be protected against attacks from black hat hackers. Ethical hackers are required by all kinds of organizations to improve the security of their online identity.

So, if you are wondering how to be ethical hacker in India, there are institutions providing competitively priced best ethical hacking course. As there is a huge demand in this field, you can expect to get a good salary even if you are a fresher.

Are you wondering which Operating system is best for the purpose of ethical hacking and penetration testing?

If you are, the team of Affluenz has prepared a list for you.

Take a look below.

Kali Linux

Kali Linux tops the list of best operating systems for the purpose of hacking.

Developed by Offensive Security, this operating system was first released on 5^th February, 2006. It is a completion of BackTrack Linux Project.

This Debian-based operating system comes with more than 600 preinstalled pen testing tools, which makes the security toolbox richer.

These tools are versatile, updated regularly and available for various platforms like, VMware and ARM.

BackBox

BackBox Linux is an operating system that is based on Ubuntu and its focus is on penetration testing and security assessment.

It comes with a broad range of security analysis tools that help in network analysis, web application analysis and so on.

This easy-to-use and fast Linux distro is a favorite of hackers as it comes with a complete desktop environment.

Parrot Security OS

Developed by the team of Frozenbox, Debian-based Parrot Security OS is a cloud-friendly Linux distribution that is specifically designed for pen testing, ethical hacking, cryptography, forensics and so on.

Parrot Security OS is lightweight and comes with myriad legally recognized tools that gives users the opportunity to surf and work anonymously.

If you are not aware, this OS is a combination of Kali Linux and Frozenbox OS. It comes with MATE desktop environment.

This OS has a powerful interface that is derived from Gnome 2. It is highly customizable and has a strong community support.

BlackArch Linux

When it comes to penetration testing and ethical hacking, BlackArch Linux is another powerful OS.

This OS is based on Arch Linux and designed for professional hackers and comes with 1400 tools.

Samurai web testing framework or Samurai-WTF

Samurai-WTF is considered to be one of the very best and popular OS for professional web application penetration testing framework and distro, and ethical hacking.

The OS contains WebApp Pentest tools like, SQLMap, Burpsite and so on. It is based on Ubuntu and it was initially released on 2008.

Pentoo

Pentoo is an OS based on Gentoo Linux.

It is a pen testing OS and available as a 32 and 64-bit installable Live CD.

This OS can even be used on top of an existing Gentoo Linux installation.

As this distro offers persistence support, users are able to save changes before they run off a USB stick.

This OS is equipped with a wide range of tools like, Cracker, Exploit, Scanner and Database.

Caine

Caine OS is based on Ubuntu and comes as a live disk.

This OS stands for Computer Aided Investigation Environment and right after installation, it can be run from the hard disk.

This Linux distro is equipped with a selection of tools and a large number of memory, database, network analysis applications and forensics.

It also features applications, such as email clients, web browsers, document editors and so on, for the purpose of computing.

So, these are a few of the best OS for hacking Wi-Fi. For any more information, get in touch with Affluenz and enroll for our ethical hacking training programs.

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If you don’t know, every second, a huge amount of data is being collected.

Whether you are shopping online, socializing on social media platforms or simply browsing the Internet, data is constantly getting collected.

So, what to do with such a huge amount of data?

Raw data is a big pile of unstructured information. To make sense of this information, data analysts use their expertise to derive crucial information from the big pile of data!

This is where types of data analysis in research methodology come into play.

Below given are a brief description of the types of data analytics that are extensively used today.

Descriptive analytics

Descriptive analysis or statistics summarizes raw data and converts them into a form that humans can understand.

It describes in detail about an event that has happened in the past.

This kind of analytics is helpful in drawing interpretations or deriving a pattern from past events so that effective strategies can be formed for the future.

You could say that this is the most popularly and frequently used type of analytics across industries. It plays a key role in revealing key measures and metrics within a business.

Diagnostic data analytics

Diagnostic analytics is the successor to descriptive analytics.

With the help of diagnostic analytical tools, analysts are able to dig deeper into issues at hand and be able to unearth the source of the problem.

Drill-down, data mining, data discovery and correlations are some of the tools used in this form of data analytics.

In a structured business environment, both diagnostic and descriptive analytics tools go hand-in-hand.

Predictive data analytics

In the process of data analytics, this is the most extensively used model.

This format of data analytics is used for identifying correlations, trends and causation. It is further divided into two types – predictive modelling and statistical modelling. Both of these work in correlation to each other.

In this type of analysis, various co-dependent variables are assessed to predict a trend. For instance, in the healthcare sector, potential health risks can be predicted on the basis of an individual’s diet, habits and genetic composition.

Prescriptive data analytics

In any situation, this format of data analytics explains the step-by-step process.

For example, a prescriptive analytics is what is used when an Uber driver gets the fastest and easiest route from Google maps. This route was selected after considering the distance of every available route from the pick-up point to the destination, along with traffic constraints.

For predictive data analytics, Big Data and AI are used to help predict possible outcomes. It is further broken down to Random Testing and Optimization.

Are you interested in securing a successful career in the domain of data analytics? If so, you need to get yourself enrolled in data analytics training provided by any good Data Science Training Institute. Such training programs are designed to impart knowledge and expertise in the basics, as well as, types of digital data in business analysis and more.

Make sure to undertake training from a professional company for the best results.

So, thinking of what AI books to include in your reading list?

Below given are some of the top artificial intelligence books 2019 recommended by experts.

The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind by Marvin Minsky

Source: Amazon

Scientific pioneer Marvin Minsky carries on with his ground-breaking research in this mind-expanding book.

This is one of the best AI books 2019 providing a fascinating new model for the how the mind works.

Marvin persuasively argues that intuitions, emotions and feelings are not distinct things, but they are different ways of how one thinks.

Artificial Intelligence: A Modern Approach by Peter Norvig and Stuart Russell

Source: Amazon

A Modern Approach provides the most up-to-date and comprehensive introduction to the practice and theory of AI.

Regarded as one of the best books in its field, it is perfect for graduate-level and undergraduate courses.

So, if you are interested to learn Artificial Intelligence, this textbook is a must-read.

Introduction to Artificial Intelligence by Philip C Jackson

Source: Abebooks

This book gives an introduction to the science of reasoning processes in computers, the research approaches and the results of the past twenty years.

You will find easy-to-read, lucid coverage of the problem-solving methods, models and representations, automated understanding of natural languages, game playing, robot systems, heuristic search theory and specific artificial-intelligence accomplishments.

The textbook also includes related subjects like, predicate-calculus theorem proving, psychological simulation, machine architecture, novel software techniques, automatic programming, industrial automation and more.

Machine Learning by Tom M. Mitchell

Source: Amazon

The field of machine learning is covered by this book and it is the study of algorithms, which allow computer programs to improve through experience automatically.

If you are pursuing an introductory level graduate course or upper level undergraduate course in machine learning, this is one of the best machine learning books 2019.

The Master Algorithm by Pedro Domingos

Source: Amazon

With data-ism being a trendy philosophy, this book has been hailed as its bible.

The Master Algorithm is a ground-breaking book and an essential guide for anyone who wishes to comprehend not just how the revolution is going to happen, but how they can be on the forefront.

The Singularity is Near by Ray Kurzweil

Source: Amazon

This book offers an optimistic and radical view of the future course of human development. It is regarded as one of the best AI research books and should be on your reading list.

So, if you were wondering what is the best book on Artificial Intelligence?, the answer isn’t in one single book.

Include all of them in your summer reading list and by the time your holidays are over, you will have a strong grasp on AI,AI Robots and machine learning

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 Artificial Intelligence or AI is the most exciting and interesting field of Robotics. AI’s most challenging area is to understand how natural intelligence works.Let’s take an example of Human Brain. It has billions and billions of neurons, and that we think and learn is by establishing electrical connections between different neurons. But do we know how all these connections add up to higher reasoning, or even low-level operations?

AI’s final aim is to recreate human thought process. This would include the ability to learn sequences, patterns, how to use language and to formulate original ideas. Roboticists are nowhere near achieving this level of artificial intelligence, but they have made a lot of progress with more limited AI. Today’s AI machines can replicate some specific elements of intellectual ability like some robots can learn in a limited capacity or interact socially,or replicate basic human activities sequentially.

Kismet, a robot at M.I.T’s Artificial Intelligence Lab, can recognizehuman body language and voice inflection- and responds appropriately. Kismet’s creators are now exploring on how humans and babies interact; by analyzing the tone of speech and visual cue. This low-level interaction may pave the foundation of a human-like learning system.Kismet and other humanoid robots at the M.I.T. AI Lab,use an unconventional control structure. Instead of directing every action using a central computer, the robots control lower-level actions with lower-level computers. The program’s director, Rodney Brooks, believes this is a more accurate model of human intelligence. According to him, we do most things automatically and usually don’t decide at the highest level of consciousness.

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Below are the current trends in ongoing research and development on AI Robots:

-> AI in Beer Brewers

-> AI in Cybersecurity

-> AI diagnostics for X Rays

-> AI in Smartphone Apps

-> AI in Fintechand the list is on.

Now the question comes how you will participate in this AI Journey. An AI programmer helps develop operating software that can be used for robots, artificial intelligence programs or other artificial intelligence applications. They may need to work closely with electrical engineers or robotics engineers and others to produce systems that utilize artificial intelligence. Affluenz IT Academy is a global E-Learning provider, also providing best in class Online Artificial Intelligence Training course in Kolkata. We aim in building your basic knowledge on TensorFlow, Machine Learning, and other AI concepts, plus the programming languages needed to design intelligent agents, deep learning algorithms & advanced artificial neural networks that use predictive analytics to solve real-time decision-making problems. Affluenz IT Academy has Artificial Intelligence Training center in Kolkata, India: where you can visit to interact with faculties and research fellows associated with us in this journey. We have Instructor-Led Live Interactive sessions carefully crafted for Fresh Graduates, IT Professionals and students currently pursuing specialized courses. Visit us at https://affluenzitacademy.com to gain more insight on our courses.

Cloud is the ultimate platform to current technology. But What if it fails ensuring data protection? This thought brings in cloud security platform and its researchers aim in helping enterprise information technology and decision makers to analyze the security implications of cloud computing in their business.

Main purpose of Cloud Security is:

• To analyze the sensitivity to risks of user’s resources.
• To understand the data storage and transfer mechanism provided by the cloud service provider.
• To consider proper cloud type to be used.

The most accepted Cloud Security model worldwide is CSA(Cloud Security Alliance). CSA is a stack model that helps one to define the boundaries of each service model & shows with how much variation the functional units relate to each other. CSA creates the boundary between the service provider & the customer. Main key points are:

• IaaS is the most basic level among all services.
• Each of the services inherits the capabilities and security concerns of the model beneath.

• The infrastructure, platform for development & software operating environment are provided by IaaS, PaaS & SaaS respectively.
• The security mechanism below the security boundary must be built into the system that is required to be maintained by the customer.

AWS re:Invent is a cloud conference hosts by AWS every year and this conference explains you what’s coming next to AWS. It’s a 1-week conference that comprises of several announcements,bootcamps, hackathons, breakout sessions, workshops, and certification opportunities. If you need to know what Amazon’s current products are, product launches and services for attendees of all skill levels.

The research firm, Wikibon, predicts that by 2022 Amazon Web Services (AWS) will reach $43B in revenue, and be 8.2% of all cloud spending

1 Thought

When will it happen in 2019? – posted by Anonymous

Reply

DEC. 2-6, 2019
LAS VEGAS, NV

Registration opens May 21
Full conference pass $1799