1. Group members: Phạm Hoàng Long Nguyễn Huy Hùng Lê Minh Hiếu Phan Thị Thanh Thảo Nguyễn Đức Trí 1 BIG DATA & NoSQL Topic 1:

2. Contents  Big Data Introduction Definition Characteristics Advantage and disadvantage of Big Data  NoSQL Definition Database types Characteristics Support NoSQL tools  Take away 2

3. 3 Big Data NoSQL Take away! Following Vice President of Infrastructure Engineering at Facebook: Introduction

4. Definition 4  Data sets with size belong the ability of commonly used software tools (capture, manage, and process).  Structured, semi-structured and unstructured data.  About Petabytes (PB) and Exabyte (EB) of data. PB = 10 15 bytes. EB = 10 18 bytes. Big Data NoSQL Take away!

5. 5 Characteristic  Volume refers to the amount of data.  Variety refers to the number of types of data.  Velocity refers to the speed of data processing. Big Data NoSQL Take away!

6. 6  Variability - refers to the inconsistency which can be shown by the data at times  Veracity - refers to the quality of the data being captured can vary greatly.  Complexity - refers to complex process management data Characteristic (cont.) Big Data NoSQL Take away!

7. 7 Advantages  Flexible schema  Quicker / cheaper to set up  Massive scalability  Eventual consistency => higher performance and availability Disadvantages  No declarative query language => more programming  Eventual consistency => fewer guarantees Advantage and Disadvantage Big Data NoSQL Take away!

8. 8 Definition NoSQL Big Data Take away!  Not only SQL  Used in very large databases.  Non-relational databases.  Mechanism for storage and retrieval of data that is modeled (other than table/key model)  Data structures (e.g. key-value, graph, or document) => some operations faster  Simplicity of design, horizontal scaling, and finer control over availability

9. 9 Characteristics NoSQL Big Data Take away!  Non-relational No more relation  Large volumes of data  Scalable & distribution Spreads data across multiple disks on multiple server  Open source development  Consistency  Improved performance for large data sets Queries need to return answers quickly  Schema-free No schema migrations, code defines your schema.

10. 10 No SQL Database Types Key-values Stores  The simplest type of NoSQL database  Uses key-pair in hash table. A key: unique identifier for some item of data The value: the data that is identified by the key or a pointer to the location of that data  Unique key as pointer to a value.  Logical group of keys are called a “bucket”  E.g.: Amazon DynamoDB, Riak, Windows Azure, Membase and Redis NoSQL Big Data Take away!

11. 11 No SQL Database Types Wide Column Stores  Wide column stores have tables which contains columns  Stores data tables as sections of columns of data  A column family we can have different columns in each row (Super Column Families)  E.g.: Hybertable, SimpleDB NoSQL Big Data Take away!

12. 12 No SQL Database Types Documents  Have databases, collections, and indexes but not joins  Store unstructured (e.g., text) or semi- structured (e.g., XML) documents – basically hierarchical (1 : M)  Documents are addressed in the database via a unique key  Beyond the simple key-document (or key–value) lookup that you can use to retrieve a document  E.g.: MongoDB and CouchDB NoSQL Big Data Take away!

13. 13 No SQL Database Types Graph  Apply graph theory to the storage of information about the relationships between entries  Employ nodes (like entities),properties (attributes), and edges (relationships)  Map more directly to the structure of Object Oriented apps  E.g.: Neo4J and Infinite Graphare NoSQL Big Data Take away!

14. 14 NoSQL Big Data Take away! Tools  Cassandra  CouchDB  Hadoop & Hbase  MongoDB  StupidDB

15. 15 Take away! Big Data NoSQL  What is Big Data? Why?  Characteristics of Big Data.  What is No SQL?  Characteristics of No-SQL  No-SQL Database types

16. 16 Reference  What is Big Data?: http://en.wikipedia.org/wiki/Big_data. Retrieved April 19 th 2015http://en.wikipedia.org/wiki/Big_data  Big Data definition: http://searchcloudcomputing.techtarget.com/definition/big-data-Big-Data. Retrieved April 19 th 2015http://searchcloudcomputing.techtarget.com/definition/big-data-Big-Data  Big Data characteristics: http://bigdatahandler.com/2013/10/23/big-data-characteristics-problems-and-solution. Retrieved April 19 th 2015http://bigdatahandler.com/2013/10/23/big-data-characteristics-problems-and-solution  What is No-SQL?: http://en.wikipedia.org/wiki/NoSQL. Retrieved April 19 th 2015http://en.wikipedia.org/wiki/NoSQL  Document-oriented database: http://en.wikipedia.org/wiki/Document-oriented_database. Retrieved April 19 th 2015http://en.wikipedia.org/wiki/Document-oriented_database  Key-Value Store: http://www.aerospike.com/what-is-a-nosql-key-value-store/. Retrieved April 19 th 2015http://www.aerospike.com/what-is-a-nosql-key-value-store/  Wide Column Stores: http://bi-bigdata.com/2013/01/13/what-is-wide-column-stores/. Retrieved April 19 th 2015http://bi-bigdata.com/2013/01/13/what-is-wide-column-stores/  Wide Column Stores: http://bi-bigdata.com/2013/01/13/what-is-wide-column-stores/. Retrieved April 19 th 2015http://bi-bigdata.com/2013/01/13/what-is-wide-column-stores/  Lists 122 NoSQL Databases: http://www.nosql-database.org/database.org/. Retrieved April 19 th 2015http://www.nosql-database.org/database.org/

17. 17 Thank for your listening! Question & Answer