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Seven NoSQL Databases in a Week : Get up and running with the fundamentals and functionalities of seven of the most popular NoSQL databases
Seven NoSQL Databases in a Week : Get up and running with the fundamentals and functionali...
Seven NoSQL Databases in a Week : Get up and running with the fundamentals and functionalities of seven of the most popular NoSQL databases

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자료유형  
 전자책(국외)
미국국회도서관 청구기호  
QA76.9.D26-.S484 2018eb
자관 청구기호  
기본표목-개인명  
표제와 책임표시사항  
Seven NoSQL Databases in a Week : Get up and running with the fundamentals and functionalities of seven of the most popular NoSQL databases / Xun (Brian) Wu, Sudarshan Kadambi, Devram Kandhare, Aaron Ploetz.
발행, 배포, 간사 사항  
Birmingham : Packt Publishing , 2018.
    형태사항  
    1 online resource (308 pages)
    일반주기  
    Table of ContentsIntroduction to NoSQL DatabasesMongoDBNeo4jRedisCassandra HBaseDynamo DBInfluxDB.
    내용주기  
    완전내용Title Page; Copyright and Credits; Dedication; Packt Upsell; Contributors; Table of Contents; Preface; Chapter 1: Introduction to NoSQL Databases; Consistency versus availability; ACID guarantees; Hash versus range partition; In-place updates versus appends; Row versus column versus column-family storage models; Strongly versus loosely enforced schemas; Summary; Chapter 2: MongoDB; Installing of MongoDB; MongoDB data types; The MongoDB database; MongoDB collections; MongoDB documents; The create operation; The read operation; Applying filters on fields.
    내용주기  
    완전내용Applying conditional and logical operators on the filter parameterThe update operation; The delete operation; Data models in MongoDB; The references document data model; The embedded data model; Introduction to MongoDB indexing; The default _id index; Replication; Replication in MongoDB; Automatic failover in replication; Read operations; Sharding; Sharded clusters; Advantages of sharding; Storing large data in MongoDB; Summary; Chapter 3: Neo4j; What is Neo4j?; How does Neo4j work?; Features of Neo4j; Clustering; Neo4j Browser; Cache sharding; Help for beginners; Evaluating your use case.
    내용주기  
    완전내용Social networksMatchmaking; Network management; Analytics; Recommendation engines; Neo4j anti-patterns; Applying relational modeling techniques in Neo4j; Using Neo4j for the first time on something mission-critical; Storing entities and relationships within entities; Improper use of relationship types; Storing binary large object data; Indexing everything; Neo4j hardware selection, installation, and configuration; Random access memory; CPU; Disk; Operating system; Network/firewall; Installation; Installing JVM; Configuration; High-availability clustering; Causal clustering; Using Neo4j.
    내용주기  
    완전내용Neo4j BrowserCypher; Python; Java; Taking a backup with Neo4j; Backup/restore with Neo4j Enterprise; Backup/restore with Neo4j Community; Differences between the Neo4j Community and Enterprise Editions; Tips for success; Summary; References ; Chapter 4: Redis; Introduction to Redis; What are the key features of Redis?; Performance; Tunable data durability; Publish/Subscribe; Useful data types; Expiring data over time; Counters; Server-side Lua scripting; Appropriate use cases for Redis; Data fits into RAM; Data durability is not a concern; Data at scale; Simple data model.
    내용주기  
    완전내용Features of Redis matching part of your use caseData modeling and application design with Redis; Taking advantage of Redis' data structures; Queues; Sets; Notifications; Counters; Caching; Redis anti-patterns; Dataset cannot fit into RAM; Modeling relational data; Improper connection management; Security; Using the KEYS command; Unnecessary trips over the network; Not disabling THP; Redis setup, installation, and configuration; Virtualization versus on-the-metal; RAM; CPU; Disk; Operating system; Network/firewall; Installation; Configuration files; Using Redis; redis-cli; Lua; Python; Java.
    요약 등 주기  
    요약This book will help you understand the fundamentals of seven of the most popular NoSQL databases. You will see how the functionalities of each of them differ, while still giving you the same result - a database solution with speed, high performance, and accuracy.
    주제명부출표목-일반주제명  
    주제명부출표목-일반주제명  
    주제명부출표목-일반주제명  
    주제명부출표목-일반주제명  
    주제명부출표목-일반주제명  
    주제명부출표목-일반주제명  
    주제명부출표목-일반주제명  
    주제명부출표목-일반주제명  
    주제명부출표목-일반주제명  
    부출표목-개인명  
    부출표목-개인명  
    부출표목-개인명  
    기타형태저록  
    Print version Wu Xun (Brian) Seven NoSQL Databases in a Week : Get up and running with the fundamentals and functionalities of seven of the most popular NoSQL databases
    전자적 위치 및 접속  
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    ■500    ▼aTable  of  ContentsIntroduction  to  NoSQL  DatabasesMongoDBNeo4jRedisCassandra  HBaseDynamo  DBInfluxDB.
    ■5050  ▼aTitle  Page;  Copyright  and  Credits;  Dedication;  Packt  Upsell;  Contributors;  Table  of  Contents;  Preface;  Chapter  1:  Introduction  to  NoSQL  Databases;  Consistency  versus  availability;  ACID  guarantees;  Hash  versus  range  partition;  In-place  updates  versus  appends;  Row  versus  column  versus  column-family  storage  models;  Strongly  versus  loosely  enforced  schemas;  Summary;  Chapter  2:  MongoDB;  Installing  of  MongoDB;  MongoDB  data  types;  The  MongoDB  database;  MongoDB  collections;  MongoDB  documents;  The  create  operation;  The  read  operation;  Applying  filters  on  fields.
    ■5058  ▼aApplying  conditional  and  logical  operators  on  the  filter  parameterThe  update  operation;  The  delete  operation;  Data  models  in  MongoDB;  The  references  document  data  model;  The  embedded  data  model;  Introduction  to  MongoDB  indexing;  The  default  _id  index;  Replication;  Replication  in  MongoDB;  Automatic  failover  in  replication;  Read  operations;  Sharding;  Sharded  clusters;  Advantages  of  sharding;  Storing  large  data  in  MongoDB;  Summary;  Chapter  3:  Neo4j;  What  is  Neo4j?;  How  does  Neo4j  work?;  Features  of  Neo4j;  Clustering;  Neo4j  Browser;  Cache  sharding;  Help  for  beginners;  Evaluating  your  use  case.
    ■5058  ▼aSocial  networksMatchmaking;  Network  management;  Analytics;  Recommendation  engines;  Neo4j  anti-patterns;  Applying  relational  modeling  techniques  in  Neo4j;  Using  Neo4j  for  the  first  time  on  something  mission-critical;  Storing  entities  and  relationships  within  entities;  Improper  use  of  relationship  types;  Storing  binary  large  object  data;  Indexing  everything;  Neo4j  hardware  selection,  installation,  and  configuration;  Random  access  memory;  CPU;  Disk;  Operating  system;  Network/firewall;  Installation;  Installing  JVM;  Configuration;  High-availability  clustering;  Causal  clustering;  Using  Neo4j.
    ■5058  ▼aNeo4j  BrowserCypher;  Python;  Java;  Taking  a  backup  with  Neo4j;  Backup/restore  with  Neo4j  Enterprise;  Backup/restore  with  Neo4j  Community;  Differences  between  the  Neo4j  Community  and  Enterprise  Editions;  Tips  for  success;  Summary;  References  ;  Chapter  4:  Redis;  Introduction  to  Redis;  What  are  the  key  features  of  Redis?;  Performance;  Tunable  data  durability;  Publish/Subscribe;  Useful  data  types;  Expiring  data  over  time;  Counters;  Server-side  Lua  scripting;  Appropriate  use  cases  for  Redis;  Data  fits  into  RAM;  Data  durability  is  not  a  concern;  Data  at  scale;  Simple  data  model.
    ■5058  ▼aFeatures  of  Redis  matching  part  of  your  use  caseData  modeling  and  application  design  with  Redis;  Taking  advantage  of  Redis'  data  structures;  Queues;  Sets;  Notifications;  Counters;  Caching;  Redis  anti-patterns;  Dataset  cannot  fit  into  RAM;  Modeling  relational  data;  Improper  connection  management;  Security;  Using  the  KEYS  command;  Unnecessary  trips  over  the  network;  Not  disabling  THP;  Redis  setup,  installation,  and  configuration;  Virtualization  versus  on-the-metal;  RAM;  CPU;  Disk;  Operating  system;  Network/firewall;  Installation;  Configuration  files;  Using  Redis;  redis-cli;  Lua;  Python;  Java.
    ■520    ▼aThis  book  will  help  you  understand  the  fundamentals  of  seven  of  the  most  popular  NoSQL  databases.  You  will  see  how  the  functionalities  of  each  of  them  differ,  while  still  giving  you  the  same  result  -  a  database  solution  with  speed,  high  performance,  and  accuracy.
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    ■655  4▼aElectronic  books.
    ■7001  ▼aKadambi,  Sudarshan▼eauthor.
    ■7001  ▼aKandhare,  Devram▼eauthor.
    ■7001  ▼aPloetz,  Aaron▼eauthor.
    ■77608▼iPrint  version▼aWu,  Xun  (Brian).▼tSeven  NoSQL  Databases  in  a  Week  :  Get  up  and  running  with  the  fundamentals  and  functionalities  of  seven  of  the  most  popular  NoSQL  databases.▼dBirmingham  :  Packt  Publishing,  짤2018
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