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14 Top Data Pipeline Key Terms Explained

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 Here are some key terms commonly used in data pipelines 1. Data Sources Definition: Points where data originates (e.g., databases, APIs, files, IoT devices). Examples: Relational databases (PostgreSQL, MySQL), APIs, cloud storage (S3), streaming data (Kafka), and on-premise systems. 2. Data Ingestion Definition: The process of importing or collecting raw data from various sources into a system for processing or storage. Methods: Batch ingestion, real-time/streaming ingestion. 3. Data Transformation Definition: Modifying, cleaning, or enriching data to make it usable for analysis or storage. Examples: Data cleaning (removing duplicates, fixing missing values). Data enrichment (joining with other data sources). ETL (Extract, Transform, Load). ELT (Extract, Load, Transform). 4. Data Storage Definition: Locations where data is stored after ingestion and transformation. Types: Data Lakes: Store raw, unstructured, or semi-structured data (e.g., S3, Azure Data Lake). Data Warehous...

9 Top Git Terms You Should have Read By now

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GIT is version control system. That means it manages your code versions. However, I have given here most frequently asked terms in interviews. 1. Git Vs GitHub This is the first question you ( even me also) might confuse about. Git is the version control system. Whereas  GitHub is a repository framework . Also, you can say GitHub is Git hosting service. 2. What is Branch Git is a lightweight version control system. In simple terms, a Branch is a separate line of development. You can have any number of branches in Git. 3. What is Topic Each branch in Git refers to a particular purpose. So the topic tells about the purpose. 4. Clone In easy terms, the Clone means copying an existing repository. So you can say it is just a copy of the existing repository. 5. What is Push You can say Push means updating the existing repository. In other words, developers push their changes to a repository that you set up. 6. Merge Merge unifies two or more commit history branches. That means it merges ...

The Essential Guide to Blockchain Terminology

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Bitcoin was the first project developed by using blockchain. My post is to share Blockchain keywords by using an example of Bitcoin. Let us ready... Blockchain is new technology. Understanding its principles makes you helpful to apply in your projects.  Initially, the purpose of  Blockchain development was to carry mining. In general, mining means search and find value. Usually, mining processes are two types. Those are data mining and bitcoin mining . Blockchain Glossary Blockchain - only blocks involved. The data which was finalized stored in blocks. Bitcoin Ledger - It is a public ledger Ledger or Blockchain - The chain of blocks Functions of Blockchain - It validates each transaction, Keeps track, and verifies ownership Double Spending- It prevents duplicating the Cryptocurrency for using next time. Consensus mechanism - It is also called PoW (proof of work). This mechanism avoids double-spending Group of Transactions - When a new group of transactions c...

13 Cloud Computing Terminology Quick Read

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Cloud computing is a big ocean. Due to increased services, a developer must know the glossary ( keywords) involved. 1) AWS Amazon Web services 2) Content delivery network (CDN) It is a distributed system. Servers are located in remote locations. Customers feel that they are accessing the servers. 3) Cloud A global network to access the resources. 4) Cloud portability The feature to move data from one Cloud provider to another provider. 5)  Cloudsourcing Moving traditional IT operations to Cloud computing. 6) Cloud storage It is a service providing to users to store data using the internet or other private networks. 7) Cloudware It is Software that helps to run user applications in cloud computing. Terminology 8) Cluster A group of small computers connected together to form a Single big computer. High availability and load balancing are the main benefits. 9) Consumer cloud The cloud provider offers services to individual users. You can call it a consumer cloud. 10) Consumption...