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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...

Tableau 2 Top Books to Read

In this post, I have given two top data visualization in Tableau books. These books helpful for your self-study.  


Tableau 2 Top Books to Read

Top Tableau Course Contents


  • Introduction to Tableau 
  • Connecting to data 
  • Visual analytics 
  • How to design dashboard 
  • Mapping 
  • Calculations 
  • How to publish and Manage with Tableau 
  • Security with Tableau .....Read more.

Two Best books on Tableau to Learn and Visualize the Data.


#1. Learning Tableau

  • Learn how to create effective data visualizations with Tableau and unlock a smarter approach to business analytics. 
  • It might just transform your organization About This Book
  • Create stylish visualizations and dashboards that explain complexity with clarity.
  • Learn effective data storytelling to transform how your business uses ideas and makes decisions
  • Explore all the new features in Tableau 10 and start to redefine what business. analytics means to your organization.

#2. How to create Data Visualization in Tableau 

  • Tableau Your Data! is a comprehensive guide to the effective use of the Tableau Software toolset for data visualization.
  • It covers the core feature set for data analytics, illustrating best practices for creating and sharing effective visualizations that support timely business decision-making.
  • The author also covers little-known as well as more advanced features and techniques, illustrating them using detailed, real-world case studies that the author has developed as part of his consulting and training.

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