NoSQL and Distributed Databases mind maps
45 mind maps by 28 users · Page 1 of 2
This GoConqr page gathers over 40 community-made mind maps on NoSQL and distributed databases, from MongoDB and XML to data fragmentation and security. They offer university students ways to practise database concepts and teachers ready-made material to explore. Pick a map and follow a topic that interests you.
Mind maps
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48 nodesMongoDB Notes Schema-Free · Hierarchy · Optimized to quickly ... · Design should take in... · Documentation: https:... · Extensions
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52 nodesXML Database · Data-centric · Doc-centric · XML DBs
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109 nodesDistributed DB Mindmap Query Processing & Op... · Transaction Management · Concurrency Control · RELIABILITY AND RECOVERY · Big Data Introduction · Non traditional DB an...
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40 nodesCloud Computing Bases de datos NoSQL · Ecosistemas Big Data
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55 nodesSecurity of distributed databases Interception of data · Physical access of data · Consistency and integ...
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63 nodes4e Distributed Databases +/- Storage · Database Design · Local Control · Queries · Data Availability · Back Ups
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33 nodesData fragmentation Correct if we guarantee · Horizontal fragmentation · Vertical fragmentation · Hybrid fragmentation
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86 nodesElasticSearch Commands · Documentation · SQL vs NoSQL · Plugins · Shards
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34 nodesMongoDB Instalación · Configuración avanzada · Ventajas · Arquitectura · Caracteristicas · Ejecución
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24 nodes4f- Distributed Databases Security Interception of Data · Physical Access to Data · Data Consistency and ...
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55 nodesEmergence of NoSQL Data Stores Relational Database · Relational and OOP da... · OOP Basics · Object Relational Imp... · ORM (Object relationa... · Enterprise Architecture
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35 nodes4f - Security of Distributed Databases Interception of data · Physical access of data · Centralised databases · Vertically partitione... · Horizontally partitio... · Replicated Databases
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9 nodesProblem Areas Distributed Database ... · Distributed Query Pro... · Distributed Directory... · Distributed Concurren... · Distributed Deadlock ... · Reliability of DDBMS
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43 nodes4e - Discuss Distributed Databases Storage · Database design & loc... · Queries
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69 nodesColumn-Family Database Features Cassandra · Consistency · Transactions · Availability · Query features · Scaling
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18 nodes4d - Distributed Databases Partitioned Databases · Replicated Databases · Central Database with...
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52 nodesWhy NoSQL? Impedance Mismatch · Application and Integ... · The Emergence of NoSQL · Attack of the Clusters
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45 nodesKey-Value Databases Key-Value Store · Suitable use cases · When not to use · Riak
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38 nodesAggregate Orientation Data models · Consequences · Particular data unit
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38 nodesPolyglot Persistence Database · Disparate Data Storag... · Service Usage over Di... · Expanding for Better ... · Enterprise Concerns w... · Deployment Complexity
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34 nodesColumn-Family Stores What is it? · Suitable Use Cases · When not to use
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34 nodesDocument Databases What is a document da... · Suitable Use Cases · When not to use
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32 nodesSchema changes in a NoSQL Data Store Incremental Migration · Migrations in Graph D...
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28 nodesGraph Database Query Features Query languages · Indexing service · Finding relationships · Traversing graphs no ... · Finding paths between...
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8 nodesComplicating Factors Data Replication · Site /communication f... · Synchronization of tr... · Complexity · Additional Cost · Distribution of control
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7 nodesFragmentation Horizontal Fragmentation · Vertical Fragmentation · Hybrid Fragmentation
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12 nodesMONGODB - TOOLS IMPORT/EXPORT · BACKUP/RESTORE
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46 nodesNoSQL Data Models Application specific · Aggregates · Modelling · Inverted Search · Hierarchy Techniques
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33 nodes4ei - Discuss Distributed Databases Data availability · Backups
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42 nodesDistribution Models Single server · Sharding · Master-Slave Replication · Peer-to-Peer Replication · Sharing and Replicati...
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41 nodesKey-Value Store Features Consistency · Transactions · Query features · Scaling · Data structures
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31 nodesConsistency ACID · Update Consistency · Locking methods · Consistency model · Versioning
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24 nodesInterquery vs Intraquery Parallelism Interquery Parallelism · Intraquery Parallelism
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7 nodesFragmentation Horizontal Fragmentation · Vertical Fragmentation · Hybrid Fragmentation
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33 nodesdb.colletionName. insert( · find( · update( · remove(
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27 nodesDistributed Database Advantages · Disadvantages · Types · Transactions · Transparencies
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22 nodesDDMS What is DDMS? · Characteristics · Advantages · Disadvantages
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6 nodesCAP Theorem Consistency · Availability · Partition tolerance · RDBMS · CouchDB
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3 nodesScripts Update
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7 nodesCAP Theorem Consistency · Availability · Partition Tolerance
More NoSQL and Distributed Databases resources
About nosql and distributed databases mind maps
GoConqr OriginalNoSQL and Distributed Databases mind maps
These maps organise individual topics into branches. XML groups schema languages, query languages and APIs, while MongoDB Notes sets out instances, databases, collections and documents. Other maps cover key-value databases, graph database query features and consistency.
A useful starting point is XML if you want to review several related terms in one place. Follow its branches, then look away and try to recall which languages and APIs it lists. Return to the map to check what you missed.
Move between topics
For distributed databases, the map on security of distributed databases covers interception of data. Complicating Factors includes replication, communication failure and transaction synchronisation. Use their branches to organise your notes, then switch to a quiz on the unit page for question practice or flashcards to revisit terms.
Choose a map and use its branches to guide your next revision session.
Frequently asked questions
Which mind map is a useful place to start?
Start with XML if you want a map that brings several related terms together. It includes schema languages, query languages and APIs. For a MongoDB-focused starting point, MongoDB Notes covers instances, databases, collections and documents, so you can follow how those terms are organised.
What distributed database topics do the maps cover?
The maps include data fragmentation, replication, query processing and security. Distributed DB Mindmap covers query processing and optimisation, while Complicating Factors includes communication failure and transaction synchronisation. You can use the titles to find a particular topic rather than working through the list in order.
Are these mind maps free to use?
Yes. Every map listed here is free to open and study without an account. The resources were made by GoConqr users. A free account also lets you make your own mind maps, quizzes, flashcards and notes, and saves your quiz scores.