The document summarizes key topics in database integrity and performance, including:
- Primary and foreign key constraints to prevent duplicate and dangling tuples
- Attribute and tuple constraints to enforce data integrity
- Views to provide virtual subsets and joins of database relations
- Indexes to enable fast search through tables
The document discusses these concepts over multiple pages and provides examples to illustrate primary keys, foreign keys, constraints, views and indexing. It concludes by offering feedback on students' report proposals, emphasizing depth over breadth and a focus on design over implementation.
This PPT is about "Double Linked List" concept of Data Structure and Algorithm. It is very informatively describe its each concept with example and also pros and cons..
If anyone has Question related to this they may ask freely.
:)
This PPT is about "Double Linked List" concept of Data Structure and Algorithm. It is very informatively describe its each concept with example and also pros and cons..
If anyone has Question related to this they may ask freely.
:)
Getting Started with Regular Expressions In MarcEditTerry Reese
This is a beginners video developed to give new users to MarcEdit's regular expression syntax a primer and examples on how to use the language. It provides information on strategies, resources, and hopefully, some useful hints to help get people started.
These slides accompanied a youtube video which is available at: https://youtu.be/7YXvS4xBEfw
Linked Lists: Introduction Linked lists
Representation of linked list
operations on linked list
Comparison of Linked Lists with Arrays and Dynamic Arrays
Types of Linked Lists and operations-Circular Single Linked List, Double Linked List, Circular Double Linked List
Types Of Join In Sql Server - Join With Example In Sql Serverprogrammings guru
Do you know How many types of Joins in SQL. In this ppt presentation we are discussion about types of joins in sql server eg: INNER JOIN , SELF JOIN ,OUTER JOIN ,Right outer Join,Left outer Join,Full Outer Join,CROSS JOIN .
Getting Started with Regular Expressions In MarcEditTerry Reese
This is a beginners video developed to give new users to MarcEdit's regular expression syntax a primer and examples on how to use the language. It provides information on strategies, resources, and hopefully, some useful hints to help get people started.
These slides accompanied a youtube video which is available at: https://youtu.be/7YXvS4xBEfw
Linked Lists: Introduction Linked lists
Representation of linked list
operations on linked list
Comparison of Linked Lists with Arrays and Dynamic Arrays
Types of Linked Lists and operations-Circular Single Linked List, Double Linked List, Circular Double Linked List
Types Of Join In Sql Server - Join With Example In Sql Serverprogrammings guru
Do you know How many types of Joins in SQL. In this ppt presentation we are discussion about types of joins in sql server eg: INNER JOIN , SELF JOIN ,OUTER JOIN ,Right outer Join,Left outer Join,Full Outer Join,CROSS JOIN .
This presentation was presented at Percona Live UK.
Although a DBMS hides the internal mechanics of indexing. But to be able to create efficient indexes, you need to know how they work. This talk will help you understand the mechanics of the data structure used to store indexes and as to how it applies to InnoDB. At the end of the talk you will be able to learn how to use cost-analysis to pick and choose correct index definitions and will learn how to create indexes that will work efficiently with InnoDB.
Modified version of Chapter 18 of the book Fundamentals_of_Database_Systems,_6th_Edition with review questions
as part of database management system course
Analytics methods for big data have two requirements above and beyond analytics methods for normal-sized data. First, the analytics can not assume that all the data will fit in memory, or even fit on one server. Second, the choice of analysis methods must avoid high-order algorithms. We illustrate the point with one algorithm: Locality Sensitive Hashing
Does it make sense to use Google App Engine as a quick prototyping environment for Big Data use cases? It would avoid all the hassles of setting up Hadoop and its bestiary.
The answer is a definite "maybe".
Receiving data from a source that produces 5-10 GBytes per hour, and presenting analysis results as the data streams in has some interesting challenges.
We used MongoDB running on Amazon EC2 to house the data, map reduce to analyze it and Django-non-rel to present the results in near-real-time.
(Slides from my presentation at MongoDB Boston)
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Enhancing Performance with Globus and the Science DMZGlobus
ESnet has led the way in helping national facilities—and many other institutions in the research community—configure Science DMZs and troubleshoot network issues to maximize data transfer performance. In this talk we will present a summary of approaches and tips for getting the most out of your network infrastructure using Globus Connect Server.
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
3. Primary Key Constraints What are Primary Keys good for? Uniquely identify the subject of each tuple Ensure that there are no duplicates Cannot be null – that would imply a NULL subject. A table may not have more than one primary key A Primary Key may consist of one or more columns Multiple Unique keys are OK For Table R, <P1, P2, …, Pm> together constitute a primary key if for each tuple in R, <P1, P2, …, Pm> are unique P1, P2, …, Pm are non-null <U1, U2, …, Um> together constitute a unique key if for each tuple in R, <U1, U2, …, Um> are unique But U1, U2, …, Umcan be null
4. Foreign Key Constraints (p1) Main Idea: Prevent Dangling Tuples Foreign Key Key Reference Foreign Key Must point to a Key Reference CREATE TABLE City ( :: CountryCode char(3) REFERENCES Country(Code) ) Key Reference Must be unique or primary key Try: INSERT INTO city (Name, CountryCode) value ('xyzzy', 'XYZ'); Try: UPDATE city set CountryCode='XYZ' where CountryCode='FIN'; Key reference must already exist before a referencing tuple can be added
5. Foreign Key Constraints (p2) Alternative methods of defining a foreign key CREATE TABLE City ( CountryCode char(3) REFERENCES COUNTRY(Code), …) CREATE TABLE City ( CountryCode char(3), …, FOREIGN KEY CountryCode [CONSTRAINT [ctyREFcntry]] REFERENCES COUNTRY(Code)) CREATE TABLE City ( CountryCode char(3), …) Then, later, ALTER TABLE City ADD [CONSTRAINT [ctyREFcntry]] FOREIGN KEY CountryCode REFERENCES COUNTRY(Code); Notation: [] signifies optional
6. Foreign Key Constraints (p3) Foreign Key Key Reference Referential Integrity Options Restrict (default) Reject request Cascade Reflect changes back Set Null Set the foreign key to NULL Changes to Key References Try: DELETE FROM country WHERE code=‘FIN’; Try: UPDATE country SET Code='XYZ' WHERE Code='FIN‘;
7. Foreign Key Constraints (p4) Chicken and Egg definitions CREATE TABLE chicken ( cID INT PRIMARY KEY, eID INT REFERENCES egg(eID)); CREATE TABLE egg( eID INT PRIMARY KEY, cID INT REFERENCES chicken(cID)); Consistently fails Can’t define a foreign key to a table before it has been defined Solution Define the tables w/o constraints CREATE TABLE chicken( cID INT PRIMARY KEY, eID INT); CREATE TABLE egg( eID INT PRIMARY KEY, cID INT); And then add foreign keys ALTER TABLE chicken ADD CONSTRAINT c_e FOREIGN KEY (eID) REFERENCES egg(eID); ALTER TABLE egg ADD CONSTRAINT e_c FOREIGN KEY (cID) REFERENCES chicken(cID);
8. Foreign Key Constraints (p5) Chicken and Egg insertion INSERT INTO chicken VALUES(1, 1001); INSERT INTO egg VALUES(1001, 1); Still consistently fails Need a way to postpone constraint checking How long to postpone? Until transaction commit Solution Define the tables with deferred constraint-checking ALTER TABLE chicken ADD CONSTRAINT c_e FOREIGN KEY (eID) REFERENCES egg(eID) INITIALLY DEFERRED DEFERRABLE; ALTER TABLE egg ADD CONSTRAINT e_c FOREIGN KEY (cID) REFERENCES chicken(cID) INITIALLY DEFERRED DEFERRABLE; And then INSERT INTO chicken VALUES(1, 1001); INSERT INTO egg VALUES(1001, 1); COMMIT;
9. Attribute-Based Constraints NOT NULL The most common Reasonability Constraints Validate incoming data? e.g., Population Density < 30000 Specification: Population INT(11) NOT NULL CHECK (Population <= 30000 * SurfaceArea), The condition in CHECK(cond) can take any value that a condition in WHERE(cond) can take Including subqueries The attribute constraint is checked when assigned Can be violated underneath as long as it is not re-evaluated For example, if we update SurfaceArea, the violation won’t be flagged Not implemented in all databases, e.g., MySQL
10. Tuple-Based Constraints Validate the entire tuple whenever anything in that tuple is updated More integrity enforcement than with attribute-based constraints e.g., Population Density <= 30000 Specification: Population INT(11) NOT NULL, CHECK (Population <= 30000 * SurfaceArea), The condition in CHECK(cond) can take any value that a condition in WHERE(cond) can take Including subqueries The attribute constraint is checked when tuple is updated If we update SurfaceArea, the violation will be flagged But the violation of CHECK (Population > ( SELECT SUM(Population) FROM City WHERE City.CountryCode = Code)) which specifies a subquery involving another table, will not be flagged Not implemented in all databases, e.g., MySQL
11. Assertions Validate the entire database whenever anything in the database is updated Part of the database, not any specific table Specification: Table-like CREATE ASSERTION CountryPop CHECK ( NOT EXISTS (SELECT * FROM Country WHERE Population < (SELECT SUM(Population) FROM City WHERE City.CountryCode = Code))) Difficult to implement efficiently Often not implemented I don’t know of any implementations Can be implemented for specific cases using Triggers, see Section 7.5
12. Views Also called Virtual Views Don’t actually exist in the database but behave as if they do Can be subsets of the data or joins – actually, arbitrary queries Subset example, CREATE VIEW ct AS SELECT c.Name AS nm, c.countrycode AS cntry FROM city c WHERE population > 0 Join example CREATE VIEW CityLanguage as SELECT city.name, city.countrycode, lang.language as Language FROM city, countrylanguage as lang WHERE city.countrycode = lang.countrycode AND lang.isOfficial = ‘T‘;
13. Operations on Views (p1) SELECT SELECT * FROM CityLanguage WHERE Language='Dutch'; Shouldn’t ‘temporarily’ create the table and SELECT from it. Should use the definition of CityLanguage to make a query, i.e., SELECT * FROM (SELECT …blabla… FROM city, countrylanguage as lang WHERE city.countrycode = lang.countrycode AND lang.isOfficial = 'T') WHERE Language='Dutch';
14. Operations on Views (p2) UPDATE, INSERT not always possible, except Can sometimes be implemented using INSTEAD OF triggers Modifications are permitted when the view is derived from a single table R and The WHERE clause does not involve R in a Subquery The FROM clause can only consist of one occurrence of R The valued of all attributes not specified in the view definition can be ‘manufactured’ by the database Example. For the view ct CREATE VIEW ct AS SELECT c.Name AS nm, c.countrycode AS cntry FROM city c WHERE population > 0 the query INSERT INTO ct (nm, cntry) values ('FirSPA', 'FIN') can be automatically rewritten as INSERT INTO CITY (Name, CountryCode) values ('FirSPA', 'FIN')
15. Top-Down Datalog Recursion Revisited IDB’s are conceptualized (and implemented) as Views for IDB predicate p(x,y, …) FOR EACH subgoal of p DO IF subgoal is IDB, recursive call; IF subgoal is EDB, look up
16. Indexes Main Idea: Data Structures for Fast Search Motivation: Preventing the need for linear search through a big table Example query: SELECT * FROM City WHERE CountryCode = 'FIN'; Another: SELECT * FROM City WHERE Population > (0.4 * ( SELECT Population FROM Country WHERE CountryCode = Code)); Expected time for first example: O(n). For the second, O(n2) Declaration CREATE INDEX CityIndex ON City(CountryCode); CREATE INDEX CityPopIndex ON City(Population); CREATE INDEX CountryPopIndex ON Country(Population);
17. Selection of Indexes (p1) Why not create an index for every attribute? Useful indexes, and not so useful ones Primary key? Unique key? From previous examples, CityIndex? CityPopIndex? CountryPopIndex?
18. Selection of Indexes (p2) The Mantra: Don’t define indexes too early: know your workload first Be as empirical as is practical The Greedy approach to index selection: Start with no indexes Evaluate candidate indexes, choose the one potentially most effective Repeat Query execution will take advantage of defined indexes
19. CS 542 Database Management Systems Report Proposals J Singh January 31, 2011
20. Report Proposals – General Observations Simply Impressive! Corrective Themes When in doubt, prefer depth over breadth Tilt the balance toward obtaining and working with real data Focus on your contributions Separate the report from the project If your intent in the project is to do a significant piece of development, make the report about the design Go light on implementation; toy application is good to get your feet wet but leave the heavy lifting for the project For big papers, don’t try to swallow it whole. Take a piece and focus on that.