In this post we are going to look at the top 10 technologies to learn in 2019.
Everything in the universe is constantly undergoing change. We adopt the changes, and that is how the world keeps on developing. The same thing applies to technology as well. Latest trends in every technology help in making the world a better place to live. Here, we discuss some of those top trending technologies to learn in 2019.
10) Internet of Things
Internet of Things (IoT) has become a hot topic in the present tech-driven world. A strong framework of cloud computing, backed up by a seamless blending of sensors and actuators with the environment around us, is making this network of autonomous objects a reality. From smart wearable to smart cities, from domestic life to industries, IoT is expanding itself to different areas.
Smart security solutions, smart home automation, smart health care, and smart wearables are some of the applications of IoT, and by the near future we expect to see its application to a city’s transportation system or smart power grids. Some of the popular Development tools which can be used for IOT are Arduino Eclipse & IBM Watson. So, anyone who is Fascinated by the Internet and understand the basics of programming languages like C, C++, and has a general idea of how embedded systems work, can build a career in Internet of Things.
9) Cyber Security
In an increasingly digital world, the looming threat of cyber-attacks is more real than ever. These attacks are usually aimed at accessing, changing and destroying sensitive information. Thus, Businesses need experts who can protect data, systems and digital services used on a daily basis.
Therefore, it is necessary for businesses to have appropriate cybersecurity measures in place, in order to counter all of these threats. There is a high demand for personnel who can understand cyber security issues as well as those who can identify, diagnose and resolve these security challenges. Cybersecurity refers to a set of techniques used for protecting the integrity of networks, programs and data from attacks or unauthorized access. It represents the ability to prevent accidents such as hard drive failures or power outages as well as recover from them. Some of the top trending Cybersecurity Technologies are Threat Intelligence, Risk-Based Authentication Remediation & Internet of Things Security. These technologies are implemented using artificial intelligence (AI) and machine learning. Also it involves securing new endpoints from the internet of things (IoT).
Some of the top Cybersecurity Companies of 2018 are AppGaurd, CA technologies, Cimcor, inc, CyberArk, CyberGym Control, & DeltaRisk. Professionals with a good understanding of computer networks and HTTP communication protocol can start their career in Cybersecurity Technologies.
8) Virtual Reality and Augmented Reality
Virtual Reality (VR) is defined as “the use of computer technology to create a simulated environment.” VR may be artificial, such as an animated scene, or an actual place that has been photographed and included in a virtual reality app. With virtual reality, you can move around and look in every direction — up, down, sideways and behind you, as if you were physically there. You can view virtual reality through a special VR viewer, such as the Oculus Rift, Vive or Daydream View. With virtual reality apps, you can explore places you have never been to, such as the surface of Mars, the top of Mt.
Everest, or areas deep under the sea. And Augmented reality is defined as “an enhanced version of reality created by the use of technology to add digital information on an image of something.” AR apps use your phone’s camera to show you a view of the real world in front of you, then put a layer of information, including text and/or images, on top of that view. Apps can use AR for fun. The best example is the game Pokemon GO, or for information, we have the app Layar. AR and VR serve the customer with an enhanced experience and this technology is applicable in various industries like gaming, entertainment, travel & education. So, If you have a basic understanding of the OOPs concept, and if you know the different hardware used in the AR and VR ecosystem then you can develop your career in this technology.
7) Data Integration
Next in the list is Data Integration, ETL ETL refers to extract, transform and load, and it is generally used for data warehousing and data integration. It enables companies to transfer data from various sources, cleanse and reformat it and then load this data into a database to analyze and support business operations. It is a crucial component in the development of business intelligence through data integration. The ETL process ensures that this data is consolidated and stored in a data warehouse in a uniform presentation.
Anyone with basic understanding of Databases or SQL can start their career in this technology. The benefits an organization achieves with ETL tool are: Enhanced Business Intelligence, Increased Query and System Performance, Enhanced Quality, Consistency and High Return on Investment. There are many ETL tools available in market currently like Informatica, Oracle data Integrator, Microsoft SQL Server, Talend, SAP Business object, IBM Datastage & Pentaho.
6) DevOps
DevOps is not a technology; it is a practice which seeks to bring together software developers and operations staff to work on the same project in a more collaborative manner. It is a software development methodology that stresses communication, collaboration and integration between software developers and (IT) operation professionals. As the name indicates, DevOps is a combination of Development and Operations. There are many benefits which we receive from DevOps model such as: Speed, Rapid delivery, Reliability, Improved Collaboration and Security. Some of the tools used in DevOps are GIT, JENKINS DOCKER, PUPPET CHEF, KUBERNETES & ANSIBLE. There are many companies which are using DevOps now, like Amazon, Facebook, Netflix & google.
If you have basic knowledge of Linux systems, and have the ability to manage systems, applications and infrastructure, then you can build your career in DevOps.
5) Data Analytics and Visualization
We are witnessing a quantum leap in data produced by multiple sources. But all the data in the world is useless if you can’t understand it. Data Analytics and Visualization is about how to present your data, to the right people, at the right time so as to enable them to gain insights most effectively. With the help of the right tool for analytics and visualization, organizations can identify future opportunities and an optimal solution for their existing problems. Companies like Google, Facebook, Amazon, Apple, Netflix and Twitter are making better business decisions with the help of data visualization.
Some of the amazing data analytics and visualization tools are Tableau, Microsoft Business Intelligence, QlikView, PowerBI, Oracle Business Intelligence MicroStrategy, SAP Business Object, and SAS. If you have an analytical bent of mind with basic knowledge of mathematics and have ability to understand data and find patterns in it then you should start your career in Data Analytics and Visualization.
4) Big Data
Big Data has been getting lot of attention over the last few years. Big data refers to problems that are associated with processing and storing different types of data. Most of the companies today, rely on big data analytics to gain huge insight about their customers, product research and marketing initiatives. There are several trends and innovations happening in this space. Industry experts are suggesting that big data in the future will not be about what data to use but rather about what data to ignore. The focus will be more on data quality.
Some of the trendy big data technologies that you can use to promote your business are: Hadoop, Apache Spark Apache Flink, NiFi Kafka, Apache Samza and NoSQL. With these tools the power of Big data and mobility can truly elevate businesses to new levels. Using big data, Telecom companies can predict customer expectations in a better way. Retail industries can predict what products will sell. Insurance companies understand how well their customers actually drive. Even federal and provincial election campaigns can be optimized using big data analytics. Of course, there are so many other applications of big data and there will be many new categories as the tools become more widespread. So, If you have good knowledge of Java, SQL and Linux, and you’re interested to work with large amounts of structured and unstructured data then surely you should accelerate your career in this space.
3) Cloud Computing
Cloud computing is the delivery of computing services such as servers, storage, databases, networking, software and analytics over the Internet. The companies offering these computing services are called cloud providers and typically charge for cloud computing services based on usage, similar to how you are billed for water or electricity at home. There are several advantages of cloud computing like Less Cost, 24 X 7 Availability, Fast operation, Scalability, and Better Security. There is a lot of competition out there in this market. Some of the famous cloud provider companies are: Amazon Web Services, SalesForce, Microsoft Azure, IBM Cloud & Google Cloud. If you have basic knowledge of virtualization technologies and networking, then it would be good to have a career in this booming technology.
2) Blockchain
Blockchain is the future of internet. Like the name indicates, A blockchain is a continuously growing list of records, called blocks that contain information for the understanding of a common man, which are linked and secured using cryptography. It is the leading digital assets platform which records and controls the monetary information. Blockchain is the technology that runs Bitcoin and Bitcoin is the world’s first cryptocurrency.
There are many benefits of using blockchain. It provides transparency because anyone with access to a blockchain can view the entire chain. It provides Immutability: once a data/transaction is recorded on the blockchain, it cannot be reversed; there are no practical ways of going back and changing or editing any data that has been recorded on the blockchain. It also provides better security against data being stolen or being misused. Without data being located in one place, transaction can take place at a faster pace at various locations. It reduces cost as well. Beyond just financial services, Blockchain technology has many potential applications in governance, insurance, retail, and Healthcare. The use of the blockchain is growing, and businesses are in need of skilled professionals in order to gain a competitive edge. So, to become a developer, you need basic knowledge of OOPs distributed systems. And even a non-technical person with basic knowledge of Banking and Finance can start the career in Blockchain.
1) Artificial Intelligence and Data Science
And the first technology in our list is Artificial Intelligence and Data Science. There is a lot of buzz about artificial intelligence and Data Science in the market currently. Data Science skills are increasingly being used in the domain of Artificial Intelligence. Machine Learning which is a subset of the Artificial Intelligence field needs a lot of the skills that a Data Scientist possesses like data cleansing, data wrangling, data parsing, building mathematical models, working with algorithms, and so on.
So Data Scientists are being much sought-after in the Artificial Intelligence domain to build complex data models, train the machine learning systems with the right data, work with algorithms and make mathematical calculations. Data Scientists can also fine-tune the outcome of Deep Learning systems using statistics, probability and automation approaches. AI & DS is applicable in manufacturing, retailing, transportation, finance, health care and virtually every other industry. If you’re evaluating career options in this emerging field, then you should have basic knowledge of Mathematics and Probability with basic level of programming experience on any language.
And if you have experience in Python then it would be added advantage as nowadays Python is heavily used in the AI projects.
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