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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...

Wipro Expecting More Projects on Analytics and Cloud

Wipro Expecting More Projects on Analytics and Cloud
#Wipro Expecting More Projects on Analytics and Cloud:
Bangalore-based IT firm WiproBSE 1.17 % expects to land bigger deals for solutions based on digital technologies like social, mobility, analytics and cloud, a sign that companies are willing to increase their spend on these discretionary areas. 

"While our sweet spot is deals in the $2.5-3.5 million (Rs 15-21 crore) range, we are seeing deals worth $5-10 million (about Rs 30-60 crore) in the pipeline," Jeff Heenan-Jalil, global head of Wipro's advanced technology solutions unit said  in an interview to ET. 

Wipro's rivals including TCS, InfosysBSE 1.65 % and Accenture have all created separate units to target the digital business, which is based on the technologies which go by the acronym SMAC. The business has typically involved smaller deals till now and posed a problem for IT companies trying to raise their share of revenue from these services. 



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