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The app is a complete free handbook of Advance Database management system which covers important topics, notes, materials & news on the course. Download the App as a reference material & digital book for Computer science, software engineering programs & IT degree courses. 

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. 

Also get the hottest international engineering & technology news on your app powered by Google news feeds. We have customised it so that you get regular updates on subject from international/national colleges, universities, research, industry, applications, engineering, tech, articles & innovation. 

This is the best application to remain updated on your fav. subject. 

Use this useful engineering app as your education tool, utility, tutorial, book, a reference guide for syllabus and explore study course material, aptitude tests & project work. 

Track your learning, set reminders, edit, add favourite topics, share the topics on social media.

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 Refrence Types

30.	Inheritance

31.	Design for an ORDBMS

32.	Challeges 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. 

Advance Database management system is part of engineering education courses and technology degree programs 

of various universities.

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