[研究室内輪講] Architecture of a Database System 7-8章
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The document discusses shared components of database management systems (DBMS). It describes five main shared components: (1) a catalog manager, (2) a memory allocator, (3) disk management subsystems, (4) replication services, and (5) monitoring and administration tools. The catalog manager stores metadata about the database. The memory allocator handles memory allocation for different DBMS contexts. Disk management involves mapping files to disks in various configurations including RAID and SAN systems. Replication services are used to replicate data across multiple database servers. Monitoring and administration tools help with tasks such as statistics gathering, backups, and performance monitoring.
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A lot of technical challenges and complexity come with building a cloud-native and distributed architecture. The way we develop backend software has fundamentally changed in the last ten years. Managing a microservices architecture demands a lot of us to ensure observability and operational resiliency. But did you also change the way you run your development teams?
Sven will talk about Atlassian’s journey from a monolith to a multi-tenanted architecture and how it affected the way the engineering teams work. You will learn how we shifted to service ownership, moved to more autonomous teams (and its challenges), and established platform and enablement teams.
INTRODUCTION TO AI CLASSICAL THEORY TARGETED EXAMPLES
Image: Include an image that represents the concept of precision, such as a AI helix or a futuristic healthcare
setting.
Objective: Provide a foundational understanding of precision medicine and its departure from traditional
approaches
Role of theory: Discuss how genomics, the study of an organism's complete set of AI ,
plays a crucial role in precision medicine.
Customizing treatment plans: Highlight how genetic information is used to customize
treatment plans based on an individual's genetic makeup.
Examples: Provide real-world examples of successful application of AI such as genetic
therapies or targeted treatments.
Importance of molecular diagnostics: Explain the role of molecular diagnostics in identifying
molecular and genetic markers associated with diseases.
Biomarker testing: Showcase how biomarker testing aids in creating personalized treatment plans.
Content:
• Ethical issues: Examine ethical concerns related to precision medicine, such as privacy, consent, and
potential misuse of genetic information.
• Regulations and guidelines: Present examples of ethical guidelines and regulations in place to safeguard
patient rights.
• Visuals: Include images or icons representing ethical considerations.
Content:
• Ethical issues: Examine ethical concerns related to precision medicine, such as privacy, consent, and
potential misuse of genetic information.
• Regulations and guidelines: Present examples of ethical guidelines and regulations in place to safeguard
patient rights.
• Visuals: Include images or icons representing ethical considerations.
Content:
• Ethical issues: Examine ethical concerns related to precision medicine, such as privacy, consent, and
potential misuse of genetic information.
• Regulations and guidelines: Present examples of ethical guidelines and regulations in place to safeguard
patient rights.
• Visuals: Include images or icons representing ethical considerations.
Real-world case study: Present a detailed case study showcasing the success of precision
medicine in a specific medical scenario.
Patient's journey: Discuss the patient's journey, treatment plan, and outcomes.
Impact: Emphasize the transformative effect of precision medicine on the individual's
health.
Objective: Ground the presentation in a real-world example, highlighting the practical
application and success of precision medicine.
Data challenges: Address the challenges associated with managing large sets of patient data in precision
medicine.
Technological solutions: Discuss technological innovations and solutions for handling and analyzing vast
datasets.
Visuals: Include graphics representing data management challenges and technological solutions.
Objective: Acknowledge the data-related challenges in precision medicine and highlight innovative solutions.
Data challenges: Address the challenges associated with managing large sets of patient data in precision
medicine.
Technological solutions: Discuss technological innovations and solutions
Project Management: The Role of Project Dashboards.pdf
Project management is a crucial aspect of any organization, ensuring that projects are completed efficiently and effectively. One of the key tools used in project management is the project dashboard, which provides a comprehensive view of project progress and performance. In this article, we will explore the role of project dashboards in project management, highlighting their key features and benefits.
Unveiling the Advantages of Agile Software Development.pdf
Learn about Agile Software Development's advantages. Simplify your workflow to spur quicker innovation. Jump right in! We have also discussed the advantages.
ACE - Team 24 Wrapup event at ahmedabad.
Atlassian Team 24 event wrap-up Ahmedabad. Recap of Atlassian team24 event.
14 th Edition of International conference on computer vision
About the event
14th Edition of International conference on computer vision
Computer conferences organized by ScienceFather group. ScienceFather takes the privilege to invite speakers participants students delegates and exhibitors from across the globe to its International Conference on computer conferences to be held in the Various Beautiful cites of the world. computer conferences are a discussion of common Inventions-related issues and additionally trade information share proof thoughts and insight into advanced developments in the science inventions service system. New technology may create many materials and devices with a vast range of applications such as in Science medicine electronics biomaterials energy production and consumer products.
Nomination are Open!! Don't Miss it
Visit: computer.scifat.com
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For Enquiry: Computer@scifat.com
一比一原版(USF毕业证)旧金山大学毕业证如何办理
USF硕士毕业证成绩单【微信95270640】一比一伪造旧金山大学文凭@假冒USF毕业证成绩单+Q微信95270640办理USF学位证书@仿造USF毕业文凭证书@购买旧金山大学毕业证成绩单USF真实使馆认证/真实留信认证回国人员证明
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国外毕业证学位证成绩单办理方法：
1客户提供办理旧金山大学旧金山大学本科毕业证成绩单信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。
教育部文凭学历认证认证的用途：
如果您计划在国内发展那么办理国内教育部认证是必不可少的。事业性用人单位如银行国企公务员在您应聘时都会需要您提供这个认证。其他私营 #外企企业无需提供！办理教育部认证所需资料众多且烦琐所有材料您都必须提供原件我们凭借丰富的经验帮您快速整合材料让您少走弯路。
实体公司专业为您服务如有需要请联系我: 微信95270640奈一次次令他失望山娃今年岁上五年级识得很多字从走出小屋开始山娃就知道父亲的家和工地共有一个很动听的名字——天河工地的底层空空荡荡很宽阔很凉爽在地上铺上报纸和水泥袋父亲和工人们中午全睡在地上地面坑坑洼洼山娃曾多次绊倒过也曾有长铁钉穿透凉鞋刺在脚板上但山娃不怕工地上也常有五六个从乡下来的小学生他们的父母亲也是高楼上的建筑工人小伙伴来自不同省份都操着带有浓重口音的普通话可不知为啥山娃不仅很快与他们熟识了
Enums On Steroids - let's look at sealed classes !
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14 th Edition of International conference on computer vision
14 th Edition of International conference on computer vision
Enums On Steroids - let's look at sealed classes !
Enums On Steroids - let's look at sealed classes !
[研究室内輪講] Architecture of a Database System 7-8章
- 1. 7. Shared Components 8. Conclusion Joseph M. Hellerstein, Michael Stonebraker, James Hamilton. Architecture of a Database System. Foundations and Trends in Databases, 1, 2 (2007).
- 2. •(7 ) DBMS utilities •(8 ) 2
- 3. Outline •5 Shared Components •Catalog Manager (7.1) •Memory Allocator (7.2) •Disk Management Subsystems (7.3) •Replication Services (7.4) •Monitoring, Administration Tools (7.5) 3
- 4. 7.1 Catalog Manager • : •Catalog … •( ) , , •Catalog • (SQL ) , 4
- 5. Catalog • Catalog • (denormalize) … • 5 user_id (FK) email user_id name user_id name email denormalize
- 6. 7.2 Memory Allocator • : DBMS •DBMS •Optimizer, buffer pool, , … • DBMS context-based memory allocator 6
- 7. Memory Context • • API • context •context •context •context •context ( , context ) 7 Memory Context
- 8. Context • •optimizer , , etc… • •( 1) optimizer •( 2) 8
- 9. Memory Context •Garbage Collection •context • Garbage Collection (GC) • context • 9
- 10. • (e.g. DB2) stable • (e.g. MS SQL) 10
- 11. 7.3 Disk Management Subsystem • : • ? • 1 : 1 • n : 1 • 1 : n • n : n ( ) •RAID, SAN ? 11
- 12. • 1 : 1 ( OS ) 12
- 13. • 1 : n or n : 1 OS ( ) 13
- 14. RAID, SAN • RAID SAN •RAID … 1 •SAN … Storage Area Network. • DBMS 14
- 15. RAID •I/O •RAID • •DBMS ... , RAID … • • RAID5 ( …) 15
- 16. SAN • •SAN 16
- 17. RAID, SAN • I/O •OS • OS 17 OS
- 18. 7.4 Replicon Services • : ? • • , 18
- 19. 7.4 Replicon Services • : ? • • 19
- 20. 3 Replication 1. Physical Replication • 2. Trigger-Based Replication • Replication table 3. Log-Based Replication • 20
- 21. 3 Replication 1. Physical Replication • 2. Trigger-Based Replication • Replication table 3. Log-Based Replication • 21
- 22. Log-Based Replication • , ( SQL ) • • • •DBMS • • 22
- 23. 7.5 Administration, Monitoring and Utilities • : • online •i.e. 23
- 24. •Optimizer Statistics Gathering •Physical Reorganization and Index Construction •Backup / Export •Bulk Load •Monitoring, Tuning, and Resource Governers 24
- 25. Optimizer Statistics Gathering • • ( , etc..) • ( , NULL , etc..) • (CPU , I/O etc..) 25
- 26. Physical Reorganization and Index Construction • ( ) •consistency • , 26
- 27. 7 • (Catalog) (7.1) • context (7.2) • 1:1 (7.3 1) •RAID, SAN (7.3 2) • (7.4) 27
- 28. 8 Conclusion • DBMS •DBMS • , , • DBMS •DBMS 28