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Improvement of no sql technology for relational databases v2
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Improvement of no sql technology for relational databases v2






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  • Hello everyone, I’m tsendee from Database/Bioinformatics lab, Chungbuk national university. Welcome to today’s my presentation. I will try to talk improvement of NoSQL technology for relational databases. It is topic of my paper. Ok let’s begin.
  • -> I am going to introduce contents of my presentation-> First I will describe limitation of relational database, in this section we present what are there limitations of relational database for today’s data.-> NoSQL technology, this is our primary section. I will give you what is actually NoSQL what does NoSQL do that is better than relational databases.-> and there are a several types of nosql, that is presented in types of nosql section.-> Finally I will conclude to my presentation
  • -> We consider two things those would recently be features for data science-> Large volume of data was generated, there are a number of huge data generators Here showed some data generators, for example facebook photos are increased by twenty five terrabyteseveryweek , size of twitter database is increased by seven terrabytes per one day, so big data that is one special point for data science and data management system.-> Next thing is not structureddata there is not structured data everywhere
  • -> Now, I’m going to talk about limitation aspects of relational database.-> schema consists of tables and theirs relations, already we designed a schema , next time we difficulty modify the schema. So schema is hard. You have to store structured data, Your data must fit a table. After did that datastore can be more complex or not flexible-> data centralized in one place, not distributed depend on ACID property, join operation. There is one node failure. If the node fail, entire system That is big problem for developer.
  • -> So some problems fail in RDBMS,NoSQL technology aimed to improve relational database. That is one kind of database.-> NoSQL is standing Not Only SQL, -> Itcan handle huge amount of data at full speed. -> because such databases work well distributed over multiple nodes in a cluster.-> these are explained in next slide-> Schema free, At any time we can define new attribute for object in NoSQL database so it is more flexible-> There are four types of NoSQL databases according their data model. after some slide I will give you in more detailed
  • -> Sharding: big data is partitioned over individual nodes in cluster, those are connected in network-> replication: it means multiple write, same data, that is written on more than one nodes. There is not one node failure if a master computer failed then system automatically chooses another the data replicated computer.-> map/reduce mechanism consist of two phase first one is map next phase is reduce. In some case We need to process big job. We can easily do the big job by using map/reduce mechanism. This our big job Firstly, the big job is separated into a several small sections and distributed over nodes then these are processed on each nodes now we have small results finally bring to big result by combining to them, final process is called reduce the other one is map phase.

Improvement of no sql technology for relational databases v2 Presentation Transcript

  • 1. Improvement of NoSQL Technology for Relational Databases
    twitter: @tsendeemts
  • 2. Contents
    Limitation of relational database
    NoSQL technology
    Types of NoSQL database
  • 3. Nowadays, statement of data
    Large data
    Some data generators
    Facebook photos +25TB/week
    Twitter +7TB/day
    Flickr +21GB/hour
    Data size is repeatedly increased every year
    Not structured data
    New kinds of applications are growing up
    Such as Web 2.0, Enterprise applications and Cloud computing
    They needed not structured data
    There are many no structured data generators
  • 4. Limitation of relational database
    Static, normalized data schema
    Have to store structured data
    There is complex join operation
    Not flexible datastore
    Data is centralized in one place
    Not distributed
    Data overflowing
  • 5. NoSQL technology
    NoSQL: Not Only SQL
    Handle huge amount of data at full speed
    Natively support clustering
    Have Map/Reduce mechanism
    Support replication and sharding
    Schema free
    More flexible
    Have hashing and B-tree indexing
    There are four types of NoSQL databases
  • 6. Distributed: NoSQL database
    Support replication and sharding
    Map/Reduce mechanism
    Similarity, parallel processing
    Big Result
    Big Job
  • 7. Types of NoSQL database 1/4
    Key-Value database
    Stores value based on its key
    Designed to handle massive load
    Data model: Collection of Key-Value pairs
    Given key, get value
    Data hashing indexed
    Some systems do that automatically
    Good for
    Cashe aside
    Simple, id based interactions
  • 8. Types of NoSQL database 2/4
    Column oriented database
    Column oriented Relational database
    Tables similarly to RDBMS, but handles semi-structured
    Each row can have a different number of columns
    Table is sparse
    Columns are dynamic
  • 9. Types of NoSQL database 3/4
    Graph database
    These store data structure as graph
    Focus on modeling the structure of data
    Represent complex relation between objects as graph
    Data model:
    Nodes, relationships between theirs
    Each node can have key/value properties
  • 10. Types of NoSQL database 4/4
    Document database
    Stores data as document
    More complex Key-Value database
    Data model: Collection of Key-Value, collections as JSON or XML types document
    “name” : “Lady Gaga”,
    “ssn” : “213445”,
    “hobbies” : [“Dressing up”, “Singing”],
    “albums” :
    [{“name” : “The fame”
    “release_year” : “2008”},
    {“name” : “Born this away”
    “release_year” : “2011”}]
  • 11. Some statistic
    Facebook search
    MySQL > 50 GB Data
    Writes Average : ~300 ms
    Reads Average : ~350 ms
    Rewritten with Cassandra (NoSQL) > 50 GB Data
    Writes Average : 0.12 ms
    Reads Average : 15 ms
  • 12. Who uses NoSQL ?
    Big Data Big data Analysis
  • 13. Conclusion
    NoSQL databases
    Data process quite faster than relational database
    Dynamically determine new attributes
    Mostly, open source
    Have natively clustering, don’t need supercomputer (Expensive)
    Map/Reduce mechanism is provided
    Have B-tree and hashing indexing
  • 14. Thank You