Data connectivity is the ability to establish and maintain connections between different data sources and destinations for seamless data integration and analysis.
Container Orchestration is the automated management and coordination of containerized applications and their resources in a distributed environment.
Network Partition is a technique that divides datasets into subsets based on their access frequency, resulting in improved data processing and analytics for large scale businesses.
Distributed Lock Manager is a mechanism for coordinating concurrent access to shared resources across multiple servers in a data processing system.
Data Routing is the process of directing data flows to the appropriate systems for processing and analytics.
Load Balancing is the process of distributing workloads across multiple servers to optimize performance and prevent downtime.
Network Communication is the process of exchanging information between two or more devices connected to a network.
Data Consensus is a methodology used to ensure that data is accurate and consistent across different systems and applications.
Latency is the time between a request and a response in data processing that can impact the speed of data analytics and decision-making.
Consensus Protocols is a distributed computing process that enables multiple systems to agree on a single data value.
Distributed Locking is a technique used to coordinate multiple nodes in a distributed computing environment to ensure data integrity while maintaining high availability.