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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...

10 Best Visualization Charts to Present data

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Here are the best data visualization chart examples. With these one can present the Data. So  data visualization is the best way to do that. These charts help you understand the visualization concept quickly. 10 Best Visualization Charts to Present data 10 Visualization Charts With Examples. Pie charts Histograms Scatter plots Timetable charts Venn diagrams Steam graphs Stacked area graphs Stacked bar graphs Parallel sets Multi-set bar charts Pie Charts Best Example: The real usage of Pie-charts is to find information about different groups. The complete data to draw Pie chart. Histograms Best Example The purpose of the Histogram is to know the frequency distribution. The complete data to draw Histogram Scatter Plots Best Example: The best example is to find the data scattering and to study the patterns. Useful in the study of medical data. The complete data to draw a Scatter plot. Time Table Charts Best Example The best example is Schools, Colleges, and Offices. Venn diagrams Bes...