Advanced Databases: Introduction to NoSQL, Big Data and Google's Big Table
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The document provides an overview of NoSQL databases, highlighting their lack of predefined schema and their ability to manage various types of data. It contrasts SQL databases with NoSQL databases, mentioning examples of each type, and introduces the concept of big data, emphasizing the need for proper data management and analysis. Additionally, it touches on Google's Bigtable as a significant NoSQL solution for handling large-scale data.
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Advanced Databases: Introduction to NoSQL, Big Data and Google's Big Table
- 1. 09/11/2017 Akash A. Borse (M. Tech - ACDS)
- 3. What is NoSQL? A Query language to Store, Process and Manage increasing large amount of data. There is no Pre-Defined Schema/Structure like SQL Allows various types of data to store.
- 5. SQL NoSQL Databases are categorized as Relational DBMS Databases are categorized as Non- Relational / Distributed DBMS Predefined scema Dynamic schema Table-based databases Collection of Key-Value pairs, Documents, Graph database, Wide- Column Store Databases: MySQL, SQLite, Oracle, MS-SQL... Databases: MongoDB, BigTable, Cassandra, HBase, Neo4j, CouchDB...
- 7. NoSQL Users:
- 9. What is Big Data? An ability or technique to collect large amount of data generating from various sources and to analyze it for future utilization. Need: Huge amount of data is generated everyday, Data is useful for Analysis, Data must be managed properly.
- 11. How it is Done?
- 14. Google's BigTable: Google's NoSQL Big Data Database service Compressed, High performance Data storage system Can handle large scale of data (Semi-Structured)
- 15. Types of Data: URLs User Data Geographical Locationa (Roads, Satellite Images)
- 17. Thank You…