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How to Decode TLV Quickly

In TLV, the format is Tag, Length, and Value. The TLV protocol needs this type of data. Here you will know how to decode TLV data. According to IBM , TLV data is three parts. The tag tells what type of data it is. The length field denotes the length of the value. The Value-field denotes the actual value. Structure of TLV. TLV comprises three field values.  Tag Length Value EMV formulated different tags. They have their meanings. Usually, the Tag and Length together takes 1 to 4 bytes. The Best example for TLV. In the below example, you can find the sample TAG, LENGTH, and VALUE fields. [Tag][Value Length][Value] (ex. " 9F4005F000F0A001 ") where Tag Name =  9F40 Value Length (in bytes) =  05  Value (Hex representation of bytes. Example, "F0" – 1-byte) =  F000F0A001 In the above message, tag 9F40 has some meaning designed by EMV company. Here  you can find a list of EMV Tags. How to read the TLV Tag: 1 or 2 bytes Length: Length of the Value. F0-00-F0-A0-01 ==> 5 By

6 IT skills you need to be successful in IoT (Internet of things) Career

http://www.indeed.com/jobs?q=Internet+of+things&l=United+States&indpubnum=6634974704162507
[Jobs on IoT]
The following 6 skills needed to become successful in IoT career:

Business Intelligence: Collect, store, & analyze smart device data streams, sensor data
analysis, data center management, predictive analytics, and programming skills in
leading big data platforms

Information Security: Vulnerability assessment, PKI security, ethical hacking, wireless
network security, data ethics, and privacy policies

UI/UX Design: Ability to develop effective, user-friendly interfaces, responsive web
design, and service design

Mobile Development: Knowledge of mobile apps that communicate with external
hardware and sensors

Hardware Engineering: Develop and install Wi-Fi™, Bluetooth®, and other connectivity
solutions, computer-aided design, micro-electromechanical systems engineering,
wireless sensor design, and quality assurance

Networking: Design, maintain, and optimize large-scale traffic across secure,
reliable, and redundant backbones that connect different destinations with knowledge
of typical wireless connections, EFID, and emerging wireless protocols

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