Top Trending Technologies in 2019
Top Technologies to Learn
Not everything in the universe is permanent except 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.
So here we will discuss top trending technologies to learn in 2019
Here is a list of Top technology to lean in 2019
IoT (Internet of Things)
IoT has become a hot topic in the present internet world. A strong framework of cloud computing, backed by 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 expending itself to different areas. Smart security solutions, smart home automation, smart health care, smart objects are some of the examples of IoT.
IoT by 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 and 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 an embedded system can build a career in IoT.
In today’s increasing world of internet and digital technology, the looming threat of cyber-attacks is more real than ever. These attacks usually aim to access sensitive data and destroying it. Thus businesses need cyber experts who can protect data, systems and digital services used on a daily basis. Therefore, it is necessary for a business to have apt cybersecurity measures in place to encounter all these threats. So there is a high demand for skills to understand cyber issues and identify.
Cybersecurity refers to click-event a set of techniques used to protect the integrity of networks, programs, and data from attack, damage or unauthorized access to it. It represents the ability to defend and recover from accidents like hard drive failures and power outages.
Some of the top trending cybersecurity technologies are Threat intelligence, Risk-Based Authentication, Remediation and IoT security. These technologies are either implementing artificial intelligence (AI) and machine learning or securing new endpoints from IoT.
Some of the top cybersecurity companies of 2018 are AppGaurd, CA technologies, Cimcor, inc, Cyber Ark, CyberGym Control and DeltaRisk. So someone with good understanding of networks and http communication protocols can start a career in cybersecurity technologies.
Virtual Reality & Augmented Reality
Virtual Reality is defined as “the use of computer technology to create a simulated environment.”
VR may be Artificial, such as animated scene or an actual place that has been photographed. With virtual reality, you can move around and look in every direction – up, down, sideways and behind you as if you are physically there.
You can view virtual reality through a special VR viewer such as Oculus, Rift, Vive or DayDream View. With virtual reality apps, you can explore the place you have never been, such as the surface of Mars, top of Mt. Everest or areas deep under the sea.
And Augmented reality is defined as 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 image on top of that view.
So AR and VR serves the customer with an enhanced experience and this technology is applicable in various industries like gaming, entertainment, travel, and education. So if you have a basic understanding of 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.
Data Integration, ETL
ETL refers to extract, transform and load and it is generally used as data warehousing and data integration. It enables companies to transfer data from various sources, cleanse and reformat it and then load this data into the database to analyse and support business operations. It is a crucial component in the development of business intelligence through data integration.
The ETL process ensures that the data is consolidated and stored in a data warehouse in a uniform presentation.
Anyone with a basic understanding of database 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 and Consistency
- High return on Investment
There are many ETL tools available in the market currently like Informatica, Oracle data integrator, Microsoft SQL Server Talend, SAP Business object, IBM DataStage & Pentaho.
Data Analytics and Visualization
We are witnessing a quantum leap in data produced by multiple but all the data in this 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, in order to enable them to gain insights most effectively.
With the help of analytics and the right visualization tool, the organization can identify future opportunities and an optimal solution for their existing problems. Companies like Google, Facebook, Amazone, Apple, NetFlix and Twitter, all of them are making a better business decision with the help of data visualization.
Some of the most amazing data analytic and visualization tools are Tableau, MSBI (Microsoft Business Intelligence), QlikView, PowerBI, OBIEE (Oracle Business Intelligence Microstrategy, SAP Business Object and SAS.
So if you have an analytical bent of mind with basic knowledge of mathematics and have the ability to understand data and find patterns in it then you should start your career in Data Analytics and Visualization.
Big Data is getting a lot of attention over the last few years. Big data refers to problems that are associated with processing and shorting different types of data. Most of the companies today rely on big data analytics to gain huge insight about their customer, product research and marketing initiative.
There are several trends and innovations happening in this world. Industry experts are suggesting that big data in the future will not be about what data to use rather 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:
- Apache Spark
- Apache Flink
- Apache Samza
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 churn in a better way. Retail industries can predict what product will sell. An insurance company can understand how will their customers actually drive and even government election campaigns can be optimized using Big Data Analytics.
Of cause, there are so many other applications of big data and there will be many new categories as the tool become more widespread.
So if you have good knowledge of JAVA, SQL and Linux and you are interested to work with large amounts of structured and unstructured data then surely you should accelerate your career in this space.
Cloud computing is delivery of services such as servers, storage, database, networking, software and analytic over the internet i.e the Cloud.
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 you are using at home or at a fixed plan on Cloud Shared Hosting.
There are several advantages of cloud computing like
- Less Cost
- 24×7 Availability
- Fast and Scalable
- Better Security
There is a lot of competition in this market.
Some of the famous cloud hosting providers are:
If you have basic knowledge of virtualization technologies and networking, then it would be good to have a career in this booming technology.
This is the future of the internet. Like the name indicates, A blockchain is a continuously growing list of records called blocks that contains information for the understanding of 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 and cryptocurrency is the future of the economy. There are many benefits of using blockchain technology like it provides transparency because anyone can access to blockchain and view open ledger of transactions publically.
It also provides immutability, once a data/transaction is recorded on the blockchain it cannot be reversed, there are no practical ways to go 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 available in one place, the transaction can take place at a faster pace. It reduces cost as well. So beyond these financial services, Blockchain technology has many potential applications in governance, insurance, retail, and health care.
The use of blockchain is growing and businesses are in need of skilled professionals to gain a competitive edge. So to become a developer you need a basic knowledge of OOPs distributed systems and even a non-technical person with basic knowledge of banking and finance can start their career in Blockchain.
Artificial Intelligence & Data Science (AI & DS)
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 a subset of the Artificial Intelligence field needs a lot of skills data scientist possesses like data cleaning, wrangling, data parsing, building mathematical models, working with algorithms, and so on.
So what makes Artificial Intelligence and Data Science so hot?
So data science is being much sought after in Artificial Intelligence domain
- Built complex data models
- Train the machine learning system with right data work with algorithms and make machine learning and make mathematical calculations.
- Data scientist can also fine-tune the outcome of deep learning system using, statistics, probability and automation approaches.
AI & DS is applicable in manufacturing, retailing, transportation, finance, health care and verity of industries.
So if you are evaluating career option in this emerging field, then you should have basic knowledge of mathematics and probability with a basic level of programming on any language. And if you have experience in Python then it would be added advantage as nowadays Python is majority used in AI projects.
By this, we came to the end of the discussion. So now that you know what all the technologies you should learn in 2019