Posts

Showing posts with the label Cloud Resource management

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...

Beginner's Tutorial on Cloud Resources Management(1of 2)

Image
Cloud resource management refers to the allocation of cloud resources, such as processor power, memory capacity, and network bandwidth. Resource management in Cloud computing The resource management system is the system responsible for allocating the cloud resources to users and applications.  For any resource management system to become successful, it needs to flexibly utilize the available cloud resources whilst maintaining service isolation. How resource management works The resource management system is expected to operate under the predefined QoS requirements as set by the customers.  The resource management at cloud scale requires a rich set of resource management schemes. The provider should show an option for scalability. Challenges   The big challenge for cloud service providers is in managing physical and virtual resources according to user-resources demands.  It is in a way that rapidly and dynamically provides resources to applicatio...