Data replication is a cornerstone of modern distributed computing, crucial for ensuring high availability, fault tolerance, and rapid data access in both cloud and grid environments. Contemporary ...

As the name suggests, data replication involves keeping identical data sets in more than one database node. There are two types of data replication in a database management system: Full replication is ...

Erasure coding has emerged as a pivotal technique in distributed storage systems, offering a robust approach to data resilience and cost-efficient storage. By partitioning data into fragments and ...

In an age where data has emerged as the new oil, organizations across industries are racing to refine how they collect, manage, and extract insights from it. At the core of this revolution lies cloud ...

SAN FRANCISCO--(BUSINESS WIRE)--InfluxData, creator of the leading time series platform InfluxDB, today announced Edge Data Replication, a new capability for centralized business insights in widely ...

Aerospike’s Cross-Datacenter Replication with Expressions makes it easy to route the right data at the right time across global applications to meet compliance mandates and reduce server, cloud, and ...

While Apache Kafka is slowly introducing KRaft to simplify its approach to consistency, systems built on Raft show more promise for tomorrow’s hyper-gig workloads. Consensus is fundamental to ...

Using workarounds to pipe data between systems carries a high price and untrustworthy data. Bharath Chari shares three possible solutions backed up by real use cases to get data streaming pipelines ...

Basic principles behind distributed systems (collections of independent components that appear to users as a single coherent system) and main paradigms used to organize them. This course satisfies the ...

Microfactories are not just smaller replicas of mega-factories. They operate with radically different assumptions. Data is ...