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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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Cloud Computing - Career Options

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There is an explosion in both the use of cloud computing and the demand for people to assist in the mass migration to cloud. Indeed, there are about 50 to 70 jobs chasing truly qualified candidates at this point in time, according to technical recruiters.
Photo Credit: Srini

Roles in cloud computing

  1. IT pros with specific cloud skills
  2. IT pros with admin skills
  3. Cloud solution architect

Skill set

  • Expertise in Amazon web services
  • Development skills in Google App engine

Leading skill set

  • AWS-amazon web services
  • Microsoft Cloud
  • Rackspace cloud

Typical Cloud Computing certification programs

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