Linux Careers – The Future

Linux careers offers plenty of possibilities. At the time of this article, a simple search of ‘Linux’ on Indeed.com yields nearly 72,000 jobs with 52,000 of them being recently posted. Clearly, Linux is a space where a good, solid long term career is possible. But there are some things you should know before you decide to make the leap.

Recently I had the opportunity to sit down with two long time Linux system administrators. These pros have been in the trenches for many years and shared their expertise with me. I then took their thoughts and added it to my list of “career truths” that I was already aware of and decided to share the details here.

Who should consider Linux IT as a career?

So if you’re thinking Linux IT is a good match for you, consider the following:

Do you enjoy learning new things? Linux IT is constantly evolving filled with wonderful discoveries and new technologies. But this isn’t a career path where you only learn about one thing and that’s it. The learning never ends.
Are you well suited to troubleshooting? This is a key asset that I think escapes many newcomers entering any IT field. Not everything works like it should and despite your best efforts, you may be spending a significant amount of time troubleshooting why a server is crashing or one of your scripts isn’t running as it should.
Can you do your job effectively even when stressed? This is one thing I’d love to see more Human Resource Managers (HR) ask new recruits. While there are exceptions, many areas of Linux IT is high stress. If your job involves critical data availability and/or working with stubborn end users who refuse to recognize best practices, you’re going to be stressed at times. You may need to be the type of person who can keep it together and persevere through some high stress situations.
If you can answer yes to all of the above and also have an aptitude for technology, then Linux IT may be a career path worth pursuing.

Preparing for your first Linux IT job

When you’re fresh out of College, the first temptation is to immediately start racking up various Linux and networking certifications. On the surface, this is fine. However you must pursue honing your Linux skills first.

This means learning basic Linux commands and functions to the point where you can utilize tools like sed, grep, cron, and awk. Master these, perhaps even learn a bit of shell scripting while you’re at it.

Being able to automate basic administrator tasks is actually very important and will demonstrate you’re the right person for a potential job. During your introduction to these tools, bundle this with a “Linux server” that you’re managing. I would start with this set of Linux tutorials.

Some newbies looking to pursue this career path may be tempted to immediately jump into advanced networking, visualization and container management. I advice each of those individuals to start with the links above first, master them and then move onto more advanced Linux tools and technologies.

Once you have a solid handle on your skills, I recommend making a name for yourself before seeking out your first Linux IT job. There are three common approaches to this.

Volunteer for a local non-profit. Whether this is something as remedial as teaching people how to use computers at first, it may soon turn into your managing their data stores and other server needs. Many of these opportunities evolve into the volunteer handling a variety of duties. Linux IT is no different.
Apply for an IT help desk position. Sometimes this means working for a local ISP or perhaps a web hosting company. Even if neither of these seem to compliment your Linux career goals on the surface, it shows future employers that you’re able to handle difficult challenges when needed. Plus, it’s not uncommon for people to be recruited for better paying Linux IT jobs from these entry level positions. I’ve personally seen it happen many times. As long as your skills are up to par, you’re in a far better position when an IT position in the same company opens up than the new kid fresh out of school is.
Network at industry events. I’ve had younger people tell me this approach to job hunting is dated and my reply is that the hiring managers at these events would disagree. Hone your skills, make up business cards listing your skills and contact information. Then begin introducing yourself to any booth or person at Linux industry events who you happen upon. I had a ten plus year consulting job that I got taking this approach. It works.
Building your Linux career: IT job interviews

Depending on the Linux IT job type you’re seeking, odds are you’re going to be interviewed by both HR managers and IT division managers. The former is more easily fooled by an exaggerated resume than the latter.

Choosing your first Linux IT job

It’s at this point you have to decide what next steps will make the most sense for you. As a general rule, this usually is broken up into the following segments.

Location of the job. Is there a commute? Since it’s highly unlikely anyone is going to hire a junior admin to work remotely, figuring out whether to commute or relocating is the best option.

Career path direction. Is the company you’re interested in working for going to make continued learning available to you? Do they pay for certs, conferences, and training? Not all of them do and if one of them does, this needs to be something to consider as it’s a tangible asset that will advance your career. As a junior administrator, I’d go so far as to suggest that a company that pays a smaller salary but pays for continued education is the better choice when starting out.

Company culture. When you’re given a tour of the place, do you get the sense that everyone is reasonably content with being there? As cliché as this must sound, I can’t impress upon your enough how important this is. As a junior administrator, you’re going to be seeking out help and mentorship from some of these individuals. If they hate being there, odds are so will you.

Can you do the job asked of you? Remember what I said about being honest about your skills? Once hired, you’re expected to accomplish tasks that match the skills you’ve claimed to possess. Honing your skills and being in a workplace that encourages continued learning is going to present you with a very attractive Linux IT career.

Ever-evolving Linux IT

Remember what I said about your career evolving over time? That you may start out doing one thing only to shift gears and go another way? This is true when you’re starting out as a junior administrator. You may start off simply managing data stores only to move into DevOps one day. You may even feel like the skills you learn today won’t apply to your career later on if you decide to get into something a bit different.

Don’t worry, your skills are legacy assets that will only serve you as you progress through the IT ranks. By building up your basic Linux skills first, starting off in the trenches at a low level IT job, you’re learning secondary skills that will transform you into a more effective Linux IT employee.

Facebook, Google, Amazon, NASA, Tesla, even Microsoft. Linux is the operating system acting as the backbone for the world’s most powerful and innovative companies. Looking for a future proof technical skill? It’s hard to go wrong with Linux.

Enroll with us for Linux courses to gain the foundational Linux skills you need to pursue more advanced education and certification. Choose between two options, depending on your experience level. Unsure about which course is right for you? Its time you stopped and trained with us…

Artificial Intelligence

One of the “most sought after” domain these days is Artificial Intelligence (AI). Artificial Intelligence (AI) capabilities for e-commerce and other Platforms today are able to leverage available information regarding similarities and dissimilarities between customers, along with the Phone. The ability to utilize the vast datasets regarding customer behavior and usage patterns acquired by e-commerce platforms, artificial intelligence – with its self-learning algorithms and intelligence, creates personalized shopping experiences for online buyers.

Here’s a snapshot of how Artificial Intelligence (AI) is slowly changing the world of business and shopping for good:

The Chatbots Revolution for both, machines and smart devices

AI is rapidly reducing manual effort in communication for the e-commerce platforms via natural language processing (NLP) and machine learning capabilities, AI’s chatbots are able to automate conversation with the buyers.

This can carry out the daily transactional conversation, which otherwise required human support staff. Furthermore, the chatbot-led conversations transpire with zero scope for human error. Chat assistants are further being used for CRM, personalizing buyer experience by addressing their queries.

This is the reason why e-commerce sites are today able to drive conversations with their users via AI. The Industry Gurus believe that e-commerce players to go big on the entire chatbots revolution. Gartner predicted that chatbots are going to replace 85 per cent of customer interactions by 2020.

Virtual Buying Assistants:

These days AI-powered virtual assistants, e-commerce sites are able to provide their shoppers with a personal fashion assistant. The technology assists shoppers through personalized recommendations, on the basis of their preferences and past usage patterns. For example, sending notifications or prompts when prices drop; the virtual assistants will let the shoppers know the instant there is a price change, this will help them to increase the footfalls on the site, leading to more successful conversions.

Analyzing Data:

Monotonous or Traditional merchandising systems no longer possess the required wherewithal to analyze large volumes of data, or read and predict consumer trends. This is where AI comes in, helping consumers with what to buy, based on their behavior patterns and preferences. The same also provides e-commerce sites with actionable insights to make their platform best suited for their buyers, and come up with the most relevant offers, campaigns, strategic messaging etc.

Making conversations and Improving Order Fulfillment:

Because of  the sheer number of mushrooming e-commerce platforms, consumers today are bombarded with a volley of messages. It not a surprise anymore, when most of the times important communication from e-commerce sites is missed by the customers.

To tackle these challenges, Companies using Artificial Intelligence exploit, Predictive Intelligence and Contextual Messaging functionalities to determine the right time to target a customer. This ensures higher conversation rates, whilst also improving brand’s engagement with its customers.

Furthermore, the noteworthy aspect of the technology is that the practice can be used to target each and every customer individually. Companies can now re-engage with every customer via strategic messaging, most opportune time, and a communication channel of their preference which makes it convenient for them.

AI potential has been utilized by e-commerce companies across the globe to minimize shopping cart abandonment, automate processes and optimize the conversion rate. E-commerce sites are increasingly adopting AI to provide a much more personal, intuitive and simplified experience to their patrons.

The future belongs to industry-level collaborations between AI and e-commerce giants, with the sole intention of putting forth the best platform for the customers.

What is changing in the realm of big data?
Big data is changing the way people within organizations work together. It is creating a culture in which business and IT leaders must join forces to realize value from all data. Insights from big data can enable all employees to make better decisions—deepening customer engagement, optimizing operations, preventing threats and fraud, and capitalizing on new sources of revenue. But escalating demand for insights requires a fundamentally new approach to architecture, tools and practices..

The recent development in technology is leading towards making world a intelligently hyper-connected planet. Bicard is offers you Internet of Things Course online and class room.

IoT – Internet of things is a system which connects objects and devices (like coffee maker, air conditioners, washing machines, cell phones, traffic lights etc.) which are of use to people in their everyday lives at home and work. It is a concept which has the ability to influence the way we live and work. IoT concept in not limited to only people and their daily activities but also applies to different component of machines & industry. IoT not only connects objects to the Internet but also enables devices to intelligently identify and communicate with other devices, objects and even people. This will create a new system of information-sharing among people, facilitated by our devices. It will create a network of People-People, People-Things and Things-Things.

Usage of internet as well its availability is increasing and its connectivity cost is decreasing day by day. More and more devices are created with Wi-Fi and sensors and its penetration among the people is huge. Fast growth of smartphones and internet access has also lead to the concept of IoT.

According to an analyst firm, today there are 14 billion object and devices are connected to the internet and by 2020 these number of devices could be anywhere from 20 billion to 100 million.

Internet of Things is the combination of both hardware and software technologies. The hardware consists of the connected devices and the networks that link them, such as 4G, Wi-Fi and Bluetooth. Software components include data storage platforms and analytics programmes that give information to its users. When these hardware and software components are combined to provide services, real value is created for businesses, consumers and governments.

IoT ECOSYSTEM

Characteristics of IoT

CONNECTS – It connects the physical world around itself one thing to other.

COMPUTES – It processes every input it is fed and then communicates to other related devices.

COMMUNICATES – After processing, it communicated with other devices connected and each device has unique identity.

Example – There are digital signs with bicard sensors on the highway. These sensors detect black ice on the highway at certain location and send automatic messages to incoming vehicles to slow down. This prevents accidents, cuts emergency service costs and decreases overall traffic congestion.

Various other applications of IoT whether it’s in transportation, energy, health, or the military, industries are already benefiting from IoT.

Smart home – It is the highest Internet of Things application. There are lot of companies active in smart home in comparison to other applications of IoT. Various multinational corporations like Philips, Haier, or Belkin have pitched in this area.

Smart city- it includes traffic management, waste management, water distribution, urban security and environmental monitoring. IoT solutions solves many issues faced by the city related to traffic, noise, pollution, security etc. and makes city a better and safer place

And many other like Wearables, Smart grid, Connected car, Connected health, Smart retail, Smart farming and so on.

Implementing IoT-enabled systems will allow businesses and organizations to maximize existing investments, secured transmission, analyze data, and provide near-real time decision support which will change how business is done.

Bicard is a leading Institute in Pune, India which provides training in various cutting edge technologies and makes people Industry-Ready!

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www.bicard.org

BICARD at Shivaji Nagar, Pune

Office No.68-71, 4th Floor,’C’ Block, Shrinath Plaza, Dnyaneshwar Paduka Chowk

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What is Hadoop?

It is a word which is used very often nowadays in the IT as well as some other industry sectors. It is often used in connection with Big Data. But very few know how it is related to Big Data.

Big data is the voluminous heterogeneous data in terabytes and Hadoop is a framework (not a single technology or a product) to process efficiently Big Data. Hadoop is a part of an Ecosystem to handle big data which comprises of various other supporting technologies and products.

Hadoop is an Apache open source framework written in java which has the potential to manage thousands of terabytes of data. It has quickly developed as basis for big data processing tasks like statistical analytics, business planning and processing huge volumes of data from sensors including IoT sensors. Hadoop is designed to scale up from single server to thousands of machines, each offering local computation and storage.

Hadoop Architecture

The main four modules of Hadoop Framework

  • Hadoop Distributed File System (HDFS) – A distributed file system which is capable of storing data across thousands of servers and provides access to application data.
  • Hadoop Yet Another Resource Negotiator (YARN) – A framework for resource management and schedule jobs across the clusters holding data.
  • Hadoop Map Reduce- It is a parallel processing system which is YARN based and maps the data and reduces to a result.
  • Hadoop Common- They are the Java libraries and utilities supporting other modules.

The other softwares which are part of the Hadoop Ecosystem

  • Apache Flume– It is meant for Data Movement. It streams logs into Hadoop. It is a reliable & distributed service to efficiently collect, aggregate and move large amounts of streaming data into HDFS
  • Apache Hive-It is a Data Warehouse Infrastructure on top of Hadoop for providing summaries, query and analysis. It allows SQL programmer to SQL type of statements in HQL
  • Apache Pig-It is a high level platform for creating program on Hadoop to analyze large data sets.
  • Apache Hbase– It is an open source, non-relational, column oriented database management system which runs on top of HDFS. It is written in Java and modeled after Google’s Big Table.
  • Apache Spark-It is a powerful open source which uses its standalone cluster mode and can run not only on Hadoop Yarn but also on Apache Mesos and Cloud.
  • Apache Zookeeper, Apache Oozie, Apache Sqoop, Cloudera Impala and few others.

Advantages of Hadoop

  • It is scalable
  • Cost-effective
  • Flexible
  • Fast
  • Hadoop framework allows the user to quickly write and test distributed systems and utilizes the underlying parallelism of the CPU cores.
  • Hadoop does not rely on hardware to provide fault-tolerance and high availability (FTHA), rather Hadoop library itself has been designed to detect and handle failures at the application layer.

References:

http://www.bmcsoftware.in/guides/hadoop-introduction.html

https://www.tutorialspoint.com/hadoop/hadoop_introduction.htm

http://searchcloudcomputing.techtarget.com/definition/Hadoop

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