Advanced Database Management Systems(DBMS):

This useful App lists 130 topics with detailed notes, diagrams, equations, formulas & course material, the topics are listed in 10 chapters. The app is must have for all the engineering science students & professionals.

The app provides quick revision and reference to the important topics like a detailed flash card notes, it makes it easy & useful for the student or a professional to cover the course syllabus quickly just before an exams or job interviews.

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The App is designed for quick learning, revisions, references at the time of exams and interviews.

This app cover most of related topics and Detailed explanation with all the basics topics. Be a professional with this app. Updates will be going on

Some of the topics Covered in this application are:

1. Parallel Database Architectures
2. Parallel Query Evaluation
3. Parallelising Individual Operations
4. Parallel Query Optimization
5. Introduction To Distributed Databases
6. Distributed DBMS Architectures
7. Storing Data in Distributed DBMS
8. Distributed Catalog Management
9. Updating Distributed Data
10. Distributed Concurrency Control
11. Distributed Recovery
12. Two-Phase Commit Revisited
13. Three-Phase Commit
14. Introduction To Data Mining
15. Counting Co-Occurences
16. Iceberg Queries
17. Mining for rules
18. Tree structured rules
19. Clustering problem
20. Clustering Algorithm
21. Data Mining Tasks
22. Similarity Search Over Sequences
23. Object-oriented database systems
24. New Data Types
25. Abstract data type
26. Methods of an ADT
27. Structured data types
28. Manipulating Data of Structured Types
29. Objects and Reference Types
30. Inheritance
31. Design for an ORDBMS
32. Challenges in Implementing an ORDBMS
33. OODBMS
34. Object Query Language
35. Compare RDBMS with ORDBMS
36. Transaction Processing Monitors
37. New Transaction Models
38. Integrated access to multiple data sources
39. Mobile Databases
40. Main memory databases
41. Multimedia Database
42. Geographic Information Systems
43. Temporal and sequence databases
44. Information Visualization
45. OODBMS; Advantages & Disadvantages
46. Data warehouse
47. Contrasting OLTP and Data Warehousing Environments
48. Data warehouses architectures
49. Logical versus physical design in data warehouses
50. Data warehouse Schema
51. Data warehousing objects
52. Logical and Physical Design of data warehouse
53. Introduction To Data Mining
54. Data Mining Uses
55. Data Mining Functions
56. Data Mining Technologies
57. Emerging Database Models
58. Multimedia Database
59. Temporal Databases
60. Designing Temporal Databases
61. Logical design of temporal databases
62. Conceptual design of temporal databases
63. Temporal databases implementation
64. Temporal DBMS implementation
65. Implementing Algebraic Operators Page

Each topic is complete with diagrams, equations and other forms of graphical representations for better learning and quick understanding.

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