In this post we are going to look at the top 10 technologies to learn in 2019.
Everything in the universe undergoes change. We adopt the changes, and that is how the world keeps 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 and DeltaRisk. Professionals and fresh graduates with a good understanding of computer networks and HTTP communication protocol can look towards starting 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. Augmented reality (AR) 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. AR and VR serve the customer with an enhanced experience. These two technologies are applicable in various industries like gaming, entertainment, travel & education. So, If you have a good understanding of the Object Oriented Programming concepts, and if you know the various hardware used in AR and VR ecosystem then you can develop your career in this technology.
7) 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 of the 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 which stresses communication, collaboration and integration between software developers and (IT) operation professionals. As the name indicates, DevOps is a combination of Development and Operations. The main benefits of the DevOps model are: Speed, Rapid delivery, Reliability, Improved Collaboration and Security.
Some of the tools used in DevOps are GIT, JENKINS DOCKER, PUPPET CHEF, KUBERNETES & ANSIBLE. Many major companies such as
Amazon, Facebook, Netflix & Google are using DevOps.
Prerequisites for learning and pursuing a career in DevOps are : a basic knowledge of Linux systems, ability to manage systems and applications and infrastructure.
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 no one can 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, IBM Cognos Analytics, Microsoft Business Intelligence, QlikView, PowerBI, Oracle Business Intelligence MicroStrategy, SAP Business Object, and SAS. Those with an analytical inclination of mind with basic knowledge of mathematics and ability to understand data and find patterns, can start a 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 quality of data.
Some of the popular big data technologies that you can use to promote your business are: Hadoop, Apache Spark, Apache Flink, Apache 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 can 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, anyone with knowledge of Java, SQL and Linux, and willing to work with large amounts of structured and unstructured data surely can accelerate their 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 lower 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 providers are: Amazon Web Services, SalesForce, Microsoft Azure, IBM Cloud & Google Cloud. Anyone having basic knowledge of virtualization technologies and networking, can look forward to have a good a career by learning 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 blockchain developer, you need basic knowledge of Object Oriented Programming and 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 needs a lot of the work skills that a Data Scientist possesses such as data cleansing, data wrangling, data parsing, building mathematical models, working with algorithms, etc.
So, Data Scientists are being highly sought-after in the Artificial Intelligence domain in order 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 because Python is heavily used in the AI projects nowadays.
