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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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Real thoughts on IBM power8 servers to use on analytics

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All About IBM Big data Server Models

IBM Servers

International Business Machines Corp, in its latest attempt at reviving demand for its hardware products, is launching high-end system servers that it says are 50 times faster than its closest competitor at analysing data. 

  • The POWER8 servers, the product of a $2.4 billion, three-year investment, are part of the company's decade-long shift to higher-value hardware technology.  
  • IBM said the machines are 50 times faster than the low-end x86-based servers it sold to Chinese PC maker Lenovo Group Ltd in January. 
  • The technology services provider said on Wednesday it hopes the servers, designed for large-scale computing, will appeal to clients looking to manage new types of social and mobile computing and mass amounts of data.
Last week, the company reported its lowest quarterly revenue in five years, weighed down by falling demand for its storage and server products.

IBM dominates the higher-end server market with 57 percent market share, according to research firm Canalys. "For IBM customers in particular the POWER8 represents a generational jump forward so far as overall performance and system capacity goes," said Charles King, an analyst at Pund-IT in California.

"POWER8 should help IBM move forward in this very cloud-centric, analytic path that it has been working on," he said. Read more

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