Sökning: "Non-relational Databases"
Visar resultat 1 - 5 av 16 uppsatser innehållade orden Non-relational Databases.
1. Performance of the relational and non-relational databases
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : There are many types of databases, but the most common are relational and non-relational. These databases have different structures, and that affects their performance. Many studies examine the differences between relational and non-relational databases and compare them regarding performance. LÄS MER
2. Evaluating Erlang database structures for building statistics in telecommunications : Comparing non-relational and relational databases in Mnesia
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Mobile subscriptions are steadily increasing, making it more relevant to collect data and make useful statistics. To handle these large data sets, robust databases must be built. Two important factors for databases are storing the information persistently and having an adequate read and write speed to the database. LÄS MER
3. Design and Implementation of an Architecture-aware In-memory Key- Value Store
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Key-Value Stores (KVSs) are a type of non-relational databases whose data is represented as a key-value pair and are often used to represent cache and session data storage. Among them, Memcached is one of the most popular ones, as it is widely used in various Internet services such as social networks and streaming platforms. LÄS MER
4. Behovet av NoSQL-databaser hos Business Intelligence-företag : Studie som undersöker behovet av alternativa databaser inom Business Intelligence-området
Kandidat-uppsats, Umeå universitet/Institutionen för informatikSammanfattning : This study presents perceptions towards non-relational, or just NoSQL, databases in IT- and Business Intelligence companies, where we try to determine the need for NoSQL databases in these areas. Earlier studies indicate that the rise of Big Data will force companies to sooner or later expand their data storages to be able to handle the vast amount of data that will emerge, and to find ways to easily manage it. LÄS MER
5. Performance Comparison of Two Database Management Systems MySQL vs MongoDB
Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : Databases are commonly used today in a vast amounts of applications. The main point in using databases is to be able to store and access data fast and in a secure way. These databases need to be able make different operations as fast as possible without losing data. LÄS MER