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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...
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4 Must read Blockchain Disadvantages for Consumers

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Here are the disadvantages of Blockchain. Below, you will find the list of these.

Blockchain Disadvantages

  1. Lack of privacy
  2. Loss of personal responsibility
  3. Loss of jobs
  4. Reintermediation

1. Lack of Privacy



Public blockchains do not hide any of their data. Instead, everyone can read the complete history of transactions. This level of transparency is frightening for those who want to protect their privacy.

These concerns are understandable when considering the level at which personal data are already collected and utilized by large corporations or intelligence agencies.




2. Loss of Responsibility



Loss of personal responsibility is often considered a consequence of disintermediation. Intermediaries not only bring different parties of a contract together but may also provide guarantees. They offer reconciliation in cases when transactions do not work out as intended, and they are also obliged to take responsibility for their actions.

The shift from trust in people and human organizations to trust in protocols and technology may lead to a loss of personal service and personal responsibility.




Disadvantages
Disadvantages



3. Loss of Jobs


Automation and standardization play a profound cause to lose many jobs. Third parties, such as banks, brokers, custodians, money-transfer agencies, and notaries directly tied to their roles as intermediaries.

All these jobs could be at risk when a sea portion of financial transactions automated by using Blockchain technology.

 


4. Reintermediation


The complexity and its open legal status discourage individuals and organizations from using Blockchain technology.

If people prefer third-party services instead of using Blockchain technology, it surely hurdles the real usage.


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