Essays about: "key-value database system"
Showing result 1 - 5 of 10 essays containing the words key-value database system.
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1. High-Performing Cloud Native SW Using Key-Value Storage or Database for Externalized States
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : To meet the demands of 5G and what comes after, telecommunications companies will need to replace their old embedded systems with new technology. One such solution could be to develop cloud-native applications that offer many benefits but are less reliable than embedded systems. READ MORE
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2. Scaling Apache Hudi by boosting query performance with RonDB as a Global Index : Adopting a LATS data store for indexing
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The storage and use of voluminous data are perplexing issues, the resolution of which has become more pressing with the exponential growth of information. Lakehouses are relatively new approaches that try to accomplish this while hiding the complexity from the user. READ MORE
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3. A latency comparison in a sharded database environment : A study between Vitess-MySQL and CockroachDB
University essay from Jönköping University/JTH, Avdelningen för datateknik och informatikAbstract : The world is becoming more and more digitized which in turn puts pressure on existing applications and systems to be able to handle large quantities of data. And in some cases, that data also needs to be operated in secure and isolated environments. To address these needs, a new category of databases has emerged, by the name of NewSQL. READ MORE
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4. Performance comparison between multi-model, key-value and documental NoSQL database management systems
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : This study conducted an experiment that compares the multi-model NoSQL DBMS ArangoDB with other NoSQL DBMS, in terms of the average response time of queries. The DBMS compared in this experiment are the following: Redis, MongoDB, Couchbase, and OrientDB. READ MORE
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5. Snapple : A distributed, fault-tolerant, in-memory key-value store using Conflict-Free Replicated Data Types
University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)Abstract : As services grow and receive more traffic, data resilience through replication becomes increasingly important. Modern large-scale Internet services such as Facebook, Google and Twitter serve millions of users concurrently. Replication is a vital component of distributed systems. READ MORE