Investigate the use of distributed caching mechanisms, such as Redis or Memcached, in improving the performance of distributed database systems.
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Investigate the use of distributed caching
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- Discuss the impact of containerization technologies like Docker and Kubernetes on the deployment and management of distributed database clusters.Consider the many data access scenarios that can arise in a distributed database system.Consider the wide variety of data-request use cases that can arise in a distributed database architecture.
- Explore the concept of data shuffling in distributed computing frameworks like Apache Hadoop and its impact on distributed database performance.Discuss the role of distributed caching in improving the performance of distributed database systems. What caching strategies and technologies are commonly used?Explore the concept of distributed deadlock detection and resolution strategies in distributed database systems.
- What are the key differences between a local-area network and a wide-areanetwork, that affect the design of a distributed database?What are the most significant distinctions that exist between a local-area network and a wide-area network when it comes to the management of a distributed database?What are the primary distinctions between a local-area network and a wide-area network in the context of a distributed database?