Introduction to mongo db by zain

Introduction to mongo db by zain

• 1.
  MongoDB Presentation ZainYousaf
• 2.
  Typical Structured Databasis ● MySQL ● SQL ● Oracle
• 3.
  Problems ● Difficultto modify schema ● Difficulty in exchanging data between different Databases. ● Information constrained to schema.
• 4.
  Solution ● Removeconstraints on data ● No defined size of data records. ● No defined fields of a data record ● Remove dependencies of tables. In easy words Remove Schema
• 5.
  Document Oriented Database A document oriented database is defined as ● It can represent the information of some data sources that cannot be constrained by schema. ● It provides a flexible format for data exchange between different types of databases. ● It can be helpful to view structured data as semi-structured (for browsing purposes). ● The schema can easily be changed. ● The data transfer format may be portable.
• 6.
  MongoDB ● DocumentOriented Database has numerous instances but here we will discuss the MongoDB. It was ● Developed by 10gen (now MongoDB Inc.) ● Written in C, C++, JavaScript. ● is now being used by Brave Collective, Craigslist, eBay, Foursquare, SourceForge, Viacom, and the New York Time.
• 7.
  MongoDB In MongoDB, ● Tables become collections ● Records become documents. ● Documents are JSON like arrays ● Collections are arrays of documents. ● Just like JSON, documents can be and contain multi-dimensional arrays.
• 8.
  Features ● Documentoriented. ● Ad-hoc Queries: search by field, range queries, regular expression searches. ● Any field can be indexed. ● Can run on multiple servers duplicating data to keep the system up and running in case of hardware failure. ● Can behave like a complete file system. ● MapReduce can be used for batch processing of data and aggregation operations ● JavaScript command can be written and sent to server directly ● Can maintain capped collection which behaves as circular queue after certain size.
• 9.
  limitations ● Reader-writer-lockallows multiple read operations and one write operations. ● Works good with 64-bit systems and poses some limitations with 32-bit system. ● Does not provide correct ordering with non- English languages.
• 10.
  Applications ● Efficientfor big data as there are no dependencies between data. Thats why above mentioned websites have shifted to it. ● Very compatible to be used in REST-ful API due to JSON structure of documents.