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Technology Trends That Will Dominate 2017: Big Data, IoT, AWS and AI
Technology has remarkably changed the way we live today, there is no denial to it. Compared with our ancestors, we stand far away from them in using different technologies for our day-to-day works.
So many technologies are developed in the past couple of years that have revolutionized our lives, and it’s impossible to list each of them. Though technology changes fast with time, we can observe the trends in which it changes. Last year, 2016 had bought so many fresh innovative ideas and creations towards automation and integration etc., and this year 2017 is expected to continue the similar kind of trend.
In this article, we are going to discuss some of the notable trends for this year, which will make us look beyond the horizon.
Gartner’s 2016 Hype Cycle for emerging technologies have identified different technologies that will be trending this year. The cycle illustrates the fact how technology innovations are redefining the relations between the customer and marketer.
This year, Gartner has identified Blockchains, Connected Homes, Cognitive Expert Advisors, Machine Learning, Software-defined Security etc. as the overarching technology trends, which have the potential of reshaping the business models and offering enterprises the definite route to emerging markets and ecosystems.
#1. Blockchain
Popularly known as ‘Distributed Ledger Technology’ for both financial and non-financial transactions, is one of the mystifying concepts that technologists could only understand to the fullest. Various advancements in blockchain have helped many people and more businesses in 2016, to experience its potential in banking and finance industry. This year, it is anticipated that blockchain technology would go beyond just banking sector, helping the start-ups and established businesses to address the market needs with different application offerings.
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Human Resources is also the organizational function that deals with the people and issues related to people such as compensation, hiring, performance management, and training. <a href="https://www.mytectra.com/interview-question/human-resourse-hr-interview-questions/">Human Resource (HR) Interview Questions</a>
Top 25 Python Interview Questions Prepared by Experts
1. What is JSON? How would convert JSON data into Python data? JSON – stands for JavaScript Object Notation. It is a popular data format for storing data in NoSQL databases. Generally JSON is built on 2 structures. A collection of <name, value> pairs. An ordered list of values. As Python supports JSON parsers, JSON-based data is actually represented as a dictionary in Python. You can convert json data into python using load() of json module. 2. How are the functions help() and dir() different? These are the two functions that are accessible from the Python Interpreter. These two functions are used for viewing a consolidated dump of built-in functions. help() – it will display the documentation string. It is used to see the help related to modules, keywords, attributes, etc. To view the help related to string datatype, just execute a statement help(str) – it will display the documentation for ‘str, module. ◦ Eg: ...
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