1 / 17

Database Management Systems

Database Management Systems. Jagannathan S / Oct 2010. Disclaimer. Content presented here do not represent the views of Hewlett Packard Company. These are the perspectives and views of the presenter. Why a DBMS ?. Provides an easy way for Modeling/designing structured data

martha-ayala
Download Presentation

Database Management Systems

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Database Management Systems Jagannathan S / Oct 2010

  2. Disclaimer Content presented here do not represent the views of Hewlett Packard Company. These are the perspectives and views of the presenter

  3. Why a DBMS ? • Provides an easy way for • Modeling/designing structured data • Accessing this structured data – Query language and indexing for fast search • Multiple users to edit shared data without compromising data integrity – ACID Transactions • Eliminates redundancies in storing shared data

  4. Evolution of DBMS

  5. DBMS – The Big Players Open Source DBMS Offerings Commercial DBMS Offerings Most common Operating Environments for DBMS are : Windows, Unix and Linux Source: IDC Embedded DBMS Forecast – Jan 2010

  6. Evolution of • Server / Computing • Storage Technologies and Hardware • Networking Speeds • DBMS Technologies Enablers • Backed up by a proven mathematical model • Business Applications • The de facto standard for backend of internet applications • SQL Standard / Programmer community • SQL Abstraction Paradigm – JDBC, Hibernate etc DBMS Feature Evolution • Demands from • Application evolution • Data Security and Protection • Data Growth • High availability and Internet adoption Challenges / Drivers

  7. Early Microprocessors • End-user terminals • Direct-attached Storage • Standalone tape drives • Early LAN Enablers DBMS Features 1970s • SQL Execution • ACID Transactions • Import / Export • Simple Applications • Backup & Restore Challenges / Drivers

  8. 32 bit CPUs • SATA Disk Drives / RAID • Tape autoloaders • Volume Management • Mainstream LAN • SQL Programmer community Enablers DBMS Features 1980s • Basic Clustering • Basic Security / Audits • Distributed queries • On-line backup • Row-level Locking • Business applications • High availability • Basic security • High performance • Distributed use models • Growth in data Challenges / Drivers

  9. 64 bit CPUs • Disk Arrays • Encryption and compression • Tape libraries • Early NAS • LAN/ WAN/ 1Gbps • OOAD • Multi-pathing Enablers DBMS Features • Stored Procedures, Triggers • Advanced Security • Database Replication • Parallel Query • Non-structured Data Types • 64-bit / Large memory support • Object Relational DBMS • Table Partitioning • Advanced backup/recovery 1990s • Internet adoption • Online commerce / 24X7 availability • Java • Compliance needs and data archival needs • Early content management Challenges / Drivers

  10. Multi-core CPUs / Grid computing • Server and storage virtualization • SAS Disk arrays • QoS • Deduplication / D2D2T • Thin provisioning • 10Gbps n/w Enablers DBMS Features • Java and XML support • Advanced Clustering • Table compression • OLAP Support • Grid Computing • Column Partitioning • Parallel backups/recovery • Advanced Manageability • Large database support 2000s • Information Lifecycle management • Explosive digital content growth • Virtually zero backup windows • Shared hardware • Global organizations • Early SaaS / Cloud applications Challenges / Drivers

  11. Cloud hardware • Solid State Drives • Tiered Storage and Storage Pooling • CDP • iSCSI • 100Gbps n/w • Heuristics / learning/ AI • Green IT Enablers DBMS Features • Datawarehousing Databases • Key Value Databases • Cloud Service Databases • Move from ACID to BASE • Non-SQL query language Beyond… • Unstructured Data Explosion • Mainstream SaaS / Cloud usage models • Real time BI / DSS • Zero Admin • Software Appliances • “Green” requirements Challenges / Drivers

  12. Did you know ? • Oracle was started in 1977 – it was the name of a project that Larry Ellison completed even after it was scrapped! • The recording density for data — aka capacity — has increased 60,000,000-fold in 50 years! • The amount of worldwide information is projected to be 988 exabytes by end of 2010! An Exabyte is a million terabytes • The magnetic HDD is 50 years old. In 1956 IBM introduced 305 RAMAC which was the size of a refrigerator, and stored a total of 4.4 megabytes on 50 doubled-sided, two-foot-diameter disks. The disk had a purchase price of $10,000,000 per Gbyte and weighed over a tonne! • Global digital information doubles every 18 months! • FaceBook is one of the largest MySQL installations world-wide!

  13. Q & A

  14. Backup

  15. OLTP vs OLAP Databases

  16. DBMS vs RDBMS • DBMS • Needs to be Persistent • Needs to provide uniform interfaces to applications • Need not impose ACID constraints of the database • RDBMS also • Needs to support a tabular structure to comply to “Relational” theory • Needs to enforce relationships between tables • Needs to enforce ACID constraints on the database

  17. Datawarehouse DBMS Magic Quadrant – Gartner 2010

More Related