EBK CONCEPTS OF DATABASE MANAGEMENT
8th Edition
ISBN: 8220100706004
Author: Last
Publisher: Cengage Learning US
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Chapter 9, Problem 35RQ
To determine
Data warehouse is defined.
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Page: 1
Task:
1. Analyze the resource allocation graph in the PDF and check for deadlocks.
2. Propose a recovery method to resolve any detected deadlock.
3. Evaluate the trade-offs between deadlock prevention and detection strategies.
Link: https://drive.google.com/file/d/1wKSrun-GlxirS3IZ9qoHazb9tC440 AZF/view?usp=sharing
Page: 2
Task:
1. Review the SQL query provided and identify inefficiencies.
2. Rewrite the query using appropriate indexing and joins to improve performance.
3. Discuss the impact of optimization techniques on large-scale databases.
Link: https://drive.google.com/file/d/1wKSrun-GlxirS3IZ9qoHazb9tC440 AZF/view?usp=sharing
Page: 3
Task:
1. Examine the congestion control algorithm details in the file.
2. Illustrate the behavior of TCP during slow start and congestion avoidance.
3. Compare the performance of Reno vs. Cubic congestion control.
Link: https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qoHazb9tC440AZF/view?usp=sharing
Chapter 9 Solutions
EBK CONCEPTS OF DATABASE MANAGEMENT
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- Page: 4 Task: 1. Compare and contrast BFS and DFS based on their implementation details in the file. 2. Propose modifications for better performance in unweighted graphs. 3. Discuss scenarios where greedy search outperforms A*. Link: https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qoHazb9tC440AZF/view?usp=sharingarrow_forwardRefer to page 28 for the concept of distributed cache in Hadoop. Instructions: 1. Analyze the role of distributed cache in improving job performance in the link. 2. Discuss scenarios where distributed cache is particularly useful, such as sharing configuration 3. files. Evaluate limitations of using distributed cache for large datasets. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS3IZ9qo Hazb9tC440 AZF/view?usp=sharing]arrow_forwardRefer to page 21 for VLAN configurations. Instructions: 1. Analyze the link to understand how VLANs enable network segmentation. 2. 3. Discuss the advantages of segmentation for improving performance and security. Evaluate potential misconfigurations and their impact on network isolation. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qo Hazb9tC440 AZF/view?usp=sharing]arrow_forward
- Refer to page 30 for the role of combiners in MapReduce. Instructions: 1. 2. 3. Analyze the impact of combiners in reducing intermediate data in the link. Discuss how combiners differ from reducers in functionality and purpose. Evaluate use cases where combiners significantly enhance job performance. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS3IZ9qo Hazb9tC440 AZF/view?usp=sharing]arrow_forwardRefer to page 29 for VPN configurations. Instructions: 1. Analyze how VPNs provide secure tunneling in the link. 2. Discuss the differences between IPSec and SSL VPNs for enterprise use. 3. Evaluate potential vulnerabilities in VPN setups and recommend security measures. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS3IZ9qo Hazb9tC440 AZF/view?usp=sharing]arrow_forwardRefer to page 26 for the role of the Secondary Namenode. Instructions: 1. Analyze how the Secondary Namenode manages edit logs and checkpoints in the link. 2. Discuss why it is essential for maintaining HDFS reliability and performance. 3. Evaluate the challenges of deploying Secondary Namenodes in large clusters. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS3IZ9qo Hazb9tC440AZF/view?usp=sharing]arrow_forward
- Refer to page 15 for HDFS performance optimization. Instructions: 1. 2. 3. Analyze the link to identify bottlenecks in data retrieval and storage. Discuss how configurations like block size and replication factor impact performance. Evaluate techniques to improve HDFS performance for high-throughput workloads. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS3IZ9qoHazb9tC440AZF/view?usp=sharing]arrow_forwardRefer to page 24 for the HDFS read process. Instructions: 1. Analyze the link to understand how HDFS retrieves data from multiple DataNodes. 2. Discuss the significance of block placement in optimizing read operations. Evaluate how caching can further improve read performance. 3. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS3IZ9qo Hazb9tC440 AZF/view?usp=sharing]arrow_forwardRefer to page 25 for firewall rules. Instructions: 1. Analyze firewall configurations in the link for blocking and allowing traffic. 2. 3. Discuss the role of firewalls in protecting networks from external threats. Evaluate risks associated with improperly configured rules and propose best practices. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qo Hazb9tC440 AZF/view?usp=sharing]arrow_forward
- Refer to page 20 for the concept of data locality. Instructions: 1. 2. 3. Analyze the benefits of data locality in HDFS from the link. Discuss how data locality minimizes network overhead in distributed processing. Evaluate scenarios where data locality cannot be guaranteed and its impact. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qo Hazb9tC440 AZF/view?usp=sharing]arrow_forwardRefer to page 19 for SFTP configurations. Instructions: 1. Analyze the link to explore how SFTP ensures secure file transfers using SSH. 2. Discuss the differences between SFTP and FTPS for data security. Evaluate best practices for deploying SFTP in enterprise environments. 3. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qoHazb9tC440 AZF/view?usp=sharing]arrow_forwardRefer to page 23 for load balancing techniques. Instructions: 1. 2. 3. Analyze how load balancers distribute traffic in the link. Discuss the differences between Layer 4 and Layer 7 load balancing. Evaluate how load balancers enhance availability and fault tolerance. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS3IZ9qoHazb9tC440 AZF/view?usp=sharing]arrow_forward
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