Posts

Showing posts with the label Self-service visualization

Featured Post

14 Top Data Pipeline Key Terms Explained

Image
 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...

7 Features of Tableau Self-service Engine

Image
Tableau introduced the Self-Service tool. This Tool helps user queries while importing data from multiple sources. This project is called Project Maestro . This is an additional feature for the data analysis engine. Self-Service Engine in Tableau The visual ways of inspecting, joining and editing data. Results could then be piped into Tableau for analysis. Speedier data import and analysis. Tableau's new data engine works based on Hyper technology. You can see now faster to import and analyze large data sets with Tableau. Hundreds of thousands of records being imported per second, as well as being visualized in real-time as the import process continued. This engine developed based on feedback from the user community. It supports natural language queries. Tableau is aiming for true natural speech, not merely being able to type in questions that require using exact field names and functions. The example is you can ask questions like Tell me the cheapest houses in near Calif...