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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...

Tech Mahindra Launched Big data platform

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Tech Mahindra has announced the launch of Usage Based Insurance (UBI), a big data and predictive analysis driven platform for auto insurers. It allows them to adjust premiums according to actual usage patterns of individual drivers instead of industry averages. UBI Platform The platform is flexible to fit to the growing needs of global insurance enterprises, where the market is expected to grow $100 billion plus by the end of the decade. The solution utilizes the capabilities of Tech Mahindra and AT and T in the areas of multi-vertical, engineering and infrastructure capabilities. As a result of this, the global insurers can reduce their claim costs by up to 20%,while reducing eligible insured driver premiums up to 40%. This Usage Based Insurance solution is hosted on the seamless AT&T cloud and served through AT and T's global Machine-to-Machine (M2M) capabilities. What is usage based insurance This technology is already being used successfully for both car a...