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Preface
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Exponential growth of data volume, steady drop in storage costs,
and rapid increase in storage capacity
Inadequacy of the sequential processing paradigm
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Example: Assuming a data rate of 1 terabyte/sec, reading through a
petabyte database will take over 10 days
Parallel machines in the past, and parallel facilities in today’s
commercial DBMS
Importance of understanding high-performance and parallel
database processing systems
Grid as global and distributed data centres
New application domains (data-intensive applications): data
warehousing and online analytic processing, and data mining
Table of Contents
1.
Introduction
2.
Analytical Models
3.
Parallel Search
4.
Parallel Sort and Group By
5.
Parallel Join
6.
Parallel GroupBy-Join
7.
Parallel Indexing
8.
Parallel Universal Quantification - Collection
Join Queries
9.
Parallel Query Scheduling and Optimization
10. Transactions in Distributed and Grid Databases
11. Grid Concurrency Control
12. Grid Transaction Atomicity and Durability
13. Replica Management in Grids
14. Grid Atomic Commitment in Replicated Data
15. Parallel Online Analytic Processing (OLAP) and
Business Intelligence
16. Parallel Data Mining - Association Rules and
Sequential Patterns
17. Parallel Clustering and Classification
Table of Contents
1.
Introduction
2.
Analytical Models
3.
Parallel Search
4.
Parallel Sort and Group By
5.
Parallel Join
6.
Parallel GroupBy-Join
7.
Parallel Indexing
8.
Parallel Universal Quantification - Collection
Join Queries
9.
Parallel Query Scheduling and Optimization
10. Transactions in Distributed and Grid Databases
11. Grid Concurrency Control
12. Grid Transaction Atomicity and Durability
13. Replica Management in Grids
14. Grid Atomic Commitment in Replicated Data
15. Parallel Online Analytic Processing (OLAP) and
Business Intelligence
16. Parallel Data Mining - Association Rules and
Sequential Patterns
17. Parallel Clustering and Classification
Table of Contents
1.
Introduction
2.
Analytical Models
3.
Parallel Search
4.
Parallel Sort and Group By
5.
Parallel Join
6.
Parallel GroupBy-Join
7.
Parallel Indexing
8.
Parallel Universal Quantification - Collection
Join Queries
9.
Parallel Query Scheduling and Optimization
10. Transactions in Distributed and Grid Databases
11. Grid Concurrency Control
12. Grid Transaction Atomicity and Durability
13. Replica Management in Grids
14. Grid Atomic Commitment in Replicated Data
15. Parallel Online Analytic Processing (OLAP) and
Business Intelligence
16. Parallel Data Mining - Association Rules and
Sequential Patterns
17. Parallel Clustering and Classification
Table of Contents
1.
Introduction
2.
Analytical Models
3.
Parallel Search
4.
Parallel Sort and Group By
5.
Parallel Join
6.
Parallel GroupBy-Join
7.
Parallel Indexing
8.
Parallel Universal Quantification - Collection
Join Queries
9.
Parallel Query Scheduling and Optimization
10. Transactions in Distributed and Grid Databases
11. Grid Concurrency Control
12. Grid Transaction Atomicity and Durability
13. Replica Management in Grids
14. Grid Atomic Commitment in Replicated Data
15. Parallel Online Analytic Processing (OLAP) and
Business Intelligence
16. Parallel Data Mining - Association Rules and
Sequential Patterns
17. Parallel Clustering and Classification
Table of Contents
1.
Introduction
2.
Analytical Models
3.
Parallel Search
4.
Parallel Sort and Group By
5.
Parallel Join
6.
Parallel GroupBy-Join
7.
Parallel Indexing
8.
Parallel Universal Quantification - Collection
Join Queries
9.
Parallel Query Scheduling and Optimization
10. Transactions in Distributed and Grid Databases
11. Grid Concurrency Control
12. Grid Transaction Atomicity and Durability
13. Replica Management in Grids
14. Grid Atomic Commitment in Replicated Data
15. Parallel Online Analytic Processing (OLAP) and
Business Intelligence
16. Parallel Data Mining - Association Rules and
Sequential Patterns
17. Parallel Clustering and Classification
Table of Contents
1.
Introduction
2.
Analytical Models
3.
Parallel Search
4.
Parallel Sort and Group By
5.
Parallel Join
6.
Parallel GroupBy-Join
7.
Parallel Indexing
8.
Parallel Universal Quantification - Collection
Join Queries
9.
Parallel Query Scheduling and Optimization
10. Transactions in Distributed and Grid Databases
11. Grid Concurrency Control
12. Grid Transaction Atomicity and Durability
13. Replica Management in Grids
14. Grid Atomic Commitment in Replicated Data
15. Parallel Online Analytic Processing (OLAP) and
Business Intelligence
16. Parallel Data Mining - Association Rules and
Sequential Patterns
17. Parallel Clustering and Classification
Let’s go to Chapter 1…