The following are some of the most popular Blockchain and Cryptocurrency jargons or terminologies or concepts that are good to know when you are delving into technology landscape of Blockchain.
- Blockchain (What is Blockchain Technology?)
- Genesis block: The first block of a blockchain.
- Merkel’s tree algorithm: It is fundamental to blockchain technology. Simply speaking, a Merkle tree summarizes all the transactions in a block by producing a digital fingerprint of the entire set of transactions, thereby enabling a user to verify whether or not a transaction is included in a block.
- Cryptocurrency
- Cryptocurrency exchanges: These are businesses which allow users to trade cryptocurrencies for other assets.
- Distributed ledger: Blockchain is one type of Distributed ledger.
- Blockchain explorer
- Blockchain wallet
- Bitcoin (BTC)
- Mining
- Consensus algorithms: The following are some of the popular consensus algorithms:
- Proof-of-work (PoW) – Popular implementations include Bitcoin, Litecoin, Ethereum etc.
- Proof-of-stake (PoS)- Peercoin
- Delegated Proof-of-stake (DPoS)
- Proof-of-Authority (PoA)
- Proof-of-Weight
- Byzantine fault tolerance (BFT)
- Directed acyclic graphs (DAGs)
- Ethereum (ETH) (https://www.ethereum.org/)
- Types of Blockchain networks
- Public (Anyone can join. For example, Bitcoin)
- Public permissioned (Anyone can join with a permission)
- private or permissioned (These Blockchains are private to the businesses)
- Bitcoin Cash (BCH) (https://www.bitcoincash.org/). Read the difference between bitcoin and bitcoin cash on this page.
- Hyperledger frameworks (https://www.hyperledger.org/)
- Popular coins
- Bitcoin
- Bitcoin Cash
- Ethereum
- Litecoin
- Ripple
- ZCash
- Dash
I have been recently working in the area of Data Science and Machine Learning / Deep Learning. In addition, I am also passionate about various different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia etc and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data etc. I would love to connect with you on Linkedin.
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