SQL is a programming language used to manage data in relational databases. It allows users to insert, query, update and delete data from database tables. Microsoft Access is a common program that uses SQL to interact with its data tables, allowing users to run queries to retrieve certain records based on conditions. The document provides examples of SQL statements like SELECT, UPDATE, DELETE used in Microsoft Access and videos demonstrating how to execute them to select, modify and remove data from Access tables.
Learn to anchor cells, move around Excel without a mouse, functions to summarize data, PivotTables, filters, sorting, charts, and macros in this course to take your Excel skills to the next level. Include information on functions: countif, sumif, vlookup, index, match, left, right, mid, len, trim, find, now, date, int
Learn to anchor cells, move around Excel without a mouse, functions to summarize data, PivotTables, filters, sorting, charts, and macros in this course to take your Excel skills to the next level. Include information on functions: countif, sumif, vlookup, index, match, left, right, mid, len, trim, find, now, date, int
This presentation is on SQL constraints. This presentation was used by me in my YouTube vlog on SQL constraints. Vlog link: https://youtu.be/E94YFmATqb4
Microsoft Access is a database management system from Microsoft that combines the relational Access Database Engine with a graphical user interface and software-development tools. It is a member of the Microsoft 365 suite of applications, included in the Professional and higher editions or sold separately.
This presentation is on SQL constraints. This presentation was used by me in my YouTube vlog on SQL constraints. Vlog link: https://youtu.be/E94YFmATqb4
Microsoft Access is a database management system from Microsoft that combines the relational Access Database Engine with a graphical user interface and software-development tools. It is a member of the Microsoft 365 suite of applications, included in the Professional and higher editions or sold separately.
Estructuras de datos y tipos de datos abstractosLuis Lastra Cid
Primera unidad de la asignatura de Estructuras de datos del Instituto Profesional Virginio Gómez.
Archivos con librerias estáticas, manuales paso a paso, códigos, etc en http://www.severus.cl
Waiting too long for Excel's VLOOKUP? Use SQLite for simple data analysis!Amanda Lam
** This workshop was conducted in the Hong Kong Open Source Conference 2017 **
Excel formulas can be quite slow when you're processing data files with thousands of rows. It's also especially difficult to maintain the files when you have some messy mixture of VLOOKUPs, Pivot Tables, Macros and VBAs.
In this interactive workshop targeted for non-coders, we will make use of SQLite, a very lightweight and portable open source database library, to perform some simple and repeatable data analysis on large datasets that are publicly available. We will also explore what you can further do with the data by using some powerful extensions of SQLite.
While SQLite may not totally replace Excel in many ways, after the workshop you will find that it can improve your work efficiency and make your life much easier in so many use cases!
Who should attend this workshop?
- If you're frustrated with the slow performance of Excel formulas when dealing with large datasets in your daily work
- No coding experience is required
Lab 2 Work with Dictionary and Create Relational Database (60 pts.).docxVinaOconner450
Lab 2: Work with Dictionary and Create Relational Database (60 pts.)
iLAB OVERVIEW
Scenario and Summary
In this lab, you will prepare a Data Dictionary based on the list of elements. Also, your task will be determined the tables, their relationships, primary and foreign keys. Based on this analysis, you will create Database Schema, relational tables, Entity –Relational Diagram (ERD), establish connection to your local MySQL Server, create physical database and insert data to the tables.
MySQL provides two primary types of file management: dictionary-managed files and MySQL Workbench-managed files. As part of this iLab, you will need to supply some information as to how you would use both of these approaches, and you will have to discuss some of the advantages of each.
For Step 3, you need access to your database instance. If you have any difficulties connecting your database instance, let's take error messages, screen shots, descriptions of the situation to the graded threads and work as a team to resolve issues.
Now you are ready to proceed.
Deliverables
Your assignment will be graded based on the following.
Assignment Step
Description
Points
Step 1
Create Data Dictionary for provided elements (Word document)
15
Step 2
Create SCHEMA and database tables in MySQL Workbench
15
Step 3
Establish connection to the MySQL Server (screenshots)
15
Step 4
Insert data to tables using MySQL Workbench
15
Total Lab Points
60
For Steps 1, 2, 3 and 4 create a single Word document and include the answers or solutions to all problems. Be sure to label your document and include your name and course number in the heading. Save your document as "yourname_Lab_2.docx."
Submit both "yourname_Lab_2.docx" to the Dropbox for this week.
iLAB STEPS
STEP 1: Create Data Dictionary for provided elements
As the DBA for your company, you have decided to install a new version of the MySQL database to replace the current database version being used. The old database has become a constant headache and seems to be causing an overload on the disk drive's I/O channels. Further analysis has also shown that two primary large tables are the main points of access. The new tables will be DEPT, EMPLOYEE, and BONUS.
Describe how you plan to compile the Data Dictionary and decide on the table’s structure with the new MySQL database.
Given list of elements:
NN
Attribute Name
Column name
Data Type
1
Employee number (PK)
EMPNO
NUMBER(4)
2
Employee first name
EFNAME
VARCHAR2(10)
3
Employee last name
ELNAME
VARCHAR2(20)
4
Job category (FK)
JOBCATEGORY
VARCHAR2(4)
5
Manager
MGR
NUMBER (4)
6
Hire date
HIREDATE
DATE
7
Salary
SAL
NUMBER (7.2)
8
Commission
COMM
NUMBER (7.2)
9
Department number(FK)
DEPTNO
NUMBER(2)
10
Department name
DEPTNAME
VARCHAR2(14)
11
Location
LOC
VARCHAR2(13)
12
Job title
JOBTITLE
VARCHAR2(20)
13
Job description
JOBDESC
VARCHAR2(20)
Compile Data Dictionary (in alphabetic order):
NN
Attribute Name
Column name
Data Type
Data element description
Table name
Primary key/ Foreign k.
Lab 2 Work with Dictionary and Create Relational Database (60 pts.docxDIPESH30
Lab 2: Work with Dictionary and Create Relational Database (60 pts.)
iLAB OVERVIEW
Scenario and Summary
In this lab, you will prepare a Data Dictionary based on the list of elements. Also, your task will be determined the tables, their relationships, primary and foreign keys. Based on this analysis, you will create Database Schema, relational tables, Entity –Relational Diagram (ERD), establish connection to your local MySQL Server, create physical database and insert data to the tables.
MySQL provides two primary types of file management: dictionary-managed files and MySQL Workbench-managed files. As part of this iLab, you will need to supply some information as to how you would use both of these approaches, and you will have to discuss some of the advantages of each.
For Step 3, you need access to your database instance. If you have any difficulties connecting your database instance, let's take error messages, screen shots, descriptions of the situation to the graded threads and work as a team to resolve issues.
Now you are ready to proceed.
Deliverables
Your assignment will be graded based on the following.
Assignment Step
Description
Points
Step 1
Create Data Dictionary for provided elements (Word document)
15
Step 2
Create SCHEMA and database tables in MySQL Workbench
15
Step 3
Establish connection to the MySQL Server (screenshots)
15
Step 4
Insert data to tables using MySQL Workbench
15
Total Lab Points
60
· For Steps 1, 2, 3 and 4 create a single Word document and include the answers or solutions to all problems. Be sure to label your document and include your name and course number in the heading. Save your document as "yourname_Lab_2.docx."
Submit both "yourname_Lab_2.docx" to the Dropbox for this week.
iLAB STEPS
STEP 1: Create Data Dictionary for provided elements
As the DBA for your company, you have decided to install a new version of the MySQL database to replace the current database version being used. The old database has become a constant headache and seems to be causing an overload on the disk drive's I/O channels. Further analysis has also shown that two primary large tables are the main points of access. The new tables will be DEPT, EMPLOYEE, and BONUS.
· Describe how you plan to compile the Data Dictionary and decide on the table’s structure with the new MySQL database.
Given list of elements:
NN
Attribute Name
Column name
Data Type
1
Employee number (PK)
EMPNO
NUMBER(4)
2
Employee first name
EFNAME
VARCHAR2(10)
3
Employee last name
ELNAME
VARCHAR2(20)
4
Job category (FK)
JOBCATEGORY
VARCHAR2(4)
5
Manager
MGR
NUMBER (4)
6
Hire date
HIREDATE
DATE
7
Salary
SAL
NUMBER (7.2)
8
Commission
COMM
NUMBER (7.2)
9
Department number(FK)
DEPTNO
NUMBER(2)
10
Department name
DEPTNAME
VARCHAR2(14)
11
Location
LOC
VARCHAR2(13)
12
Job title
JOBTITLE
VARCHAR2(20)
13
Job description
JOBDESC
VARCHAR2(20)
Compile Data Dictionary (in alphabetic order):
NN
Attribute Name
Column name
Data Type
Data element description
Table na ...
A look at a project to send automated emails. The processes behind it and how to do it yourself using 6 techniques: Secured folders, ODBC connections, Access queries, Excel Pivot tables, Excel macros and scheduled tasks
This slideshow aims to convey the basics of Oracle Database. This slideshow captures all the essential concepts and necessary visualizations to capture all the key concepts of Oracle RDBMS, along with providing all the essential steps to install it on your system, whether it be on Mac or Windows. Capturing all the concepts precisely and cogently, it also explains key concepts like joins in a diagrammatic fashion enabling viewers to visualize them for easier understanding and retention, along with providing them with the syntax to pick up writing simple queries.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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/
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
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.
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.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
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
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
Tutorial for using SQL in Microsoft Access
1. SQL and Access
A Guide to Understanding SQL and its application in
Microsoft Access by Maggie McClelland
2. Why should I learn SQL?
SQL is a common programming language used
in many relational databases to manage data
and records by performing tasks that would be
time consuming to do by searching the records
individually.
Such relational databases are commonly used in
the field of library and information science, which
means that in addition to being useful in
managing data….
Means employers may want you to know it!
3. What Is SQL?
SQL (Structured Query Language) is a
programming language used for manipulating
and managing data in relational databases such
as Microsoft Access, MySQL, or Oracle.
What does SQL do?
SQL interacts with data in tables by:
inserting data
querying data
updating data
deleting data
creating schemas
controlling access
4. What do I need to learn it?
You:
In using it, its helpful to understand how data may
already interact within databases, but not
necessary to learning the fundamentals.
Your Computer:
Relational database software such as Microsoft
Access, mySQL, or Oracle.
5. A breakdown of SQL(anguage)
Two major features
Statements: affects data and structure (what data is
in)
Queries: retrieve data based on programming
Clauses are the parts of these
Within clauses may be:
Expressions: produce the fields of a table
Predicates: specifies under what conditions action
is to occur
Image retrieved from Wikipedia.org
6. TWO TYPES OF
STATEMENTS
Data Definition Language Data Manipulation Language
Manages structure of data Manages the data in
tables and indices (where structures
data goes) ………………………..
Some Basic Elements: Some Basic Elements:
Drop/Create, Select, Select…Into, Update,
Grant/Revoke, Add, and Delete, Insert…Into
Alter
7. TWO TYPES OF
STATEMENTS
Data Definition Language
Syntax is similar to computer programming
Basic Statements are Composed of a Element
part, Object part, and Name part,
Ex: To create a Table Named „tblBooks‟ it would look
like this:
CREATE TABLE Books
To include an expression to the CREATE TABLE to
add Book ID and Title fields, insert them in
brackets and separate out by a comma, all
within parentheses. This is a common syntax.
Ex: To add the fields BookID and Title:
CREATE TABLE tblBooks ([BookID], [Title])
8. TWO TYPES OF
STATEMENTS
Data Manipulation Language
Composed of dependent clauses
Common features of syntax:
“ “ to contain the data specified
= to define the data to field relationship
It is defined by a change to the data, in the
below case, deletion from tblBooks all records
which have 1999 in their Year field
ex. DELETE FROM tblBooks
WHERE Year = “1999”
9. Queries
Queries themselves do not make any changes to
the data or to the structure.
Allows user to retrieve data from one or many
tables.
Performed with SELECT statement. Returning to our
example to display all books published in 1999:
Ex: Select From tblBooks
Where Year = “1999”
Note: SELECT is nominally
said to be a statement but it does not ‘affect data
and/or structure’. It just retrieves.
HOWEVER Queries are what make statements
happen. When combined in access with statements,
they make the changes to data that we desire.
10. What about Microsoft
Access?
All of these SQL aspects manage and manipulate
your data in be performed in Microsoft Access.
Microsoft Access is usually available with your
basic Microsoft Office package, as such it is widely
used.
It is mostly suitable for any database under 2 GB.
In the next half, I will show you how to execute in
Microsoft Access common SQL commands.
11. Proceeding…
Here is an access database to download if you
wish to follow along with the tutorial:
Upon opening it up, look on the left side of your
screen. Double click on the first table selected,
Books. This is where we will start from.
What follows will be a slide of explanations and
then a video. You can pause or stop the videos
at any time and may jump around using the
progress bar at the bottom of the video.
These videos have no sound.
Continuing on…
12. Queries
Simple SELECT query, designed to
What follows is a simple „select‟
filter records from a table.
From the menu, next to Home, select Create.
Go to the last section of selections, marked other.
Select Query Design.
Once you reach the Query Design screen you will be
prompted by a window. Cancel this out. In the
upper left corner under the round Windows
Button, is a button that says SQL view. Select this.
For a simple search calling all records from the Books
table, enter:
Select *
FROM Books
Going back to the upper left corner next to SQL view
is another button that is an exclamation mark and
says Run. Select this. Play video here.
13. Queries
More complex SELECT
To execute a query that pulls out specific
information, we‟ll have to add a WHERE clause.
Lets look for all books published in the year 1982.
To do this we will be looking at all records in the
Books table that have 1982 in the Year field.
To go back to the screen where you can edit your SQL query, simply
go to the button under your round windows button. There should be
a down arrow to select other options.
Click this and select your SQL view.
Now that you are in SQL view, add to what you have so it reads:
Select *
FROM Books
Where Year = 1982
Again, select Run when done.
Play video here.
14. Queries
Even More complex
SELECT
Lets say that we want to combine two tables.
Maybe we want to find all books published in
1982 that were sent away for rebinding.
Table named Actions this. In this table, Object
specified in each record is linked to the BookID in
the Books table. To draw these two together in
our search we will use an INNER JOIN, specifying
with ON which two of those records are linked.
Because we have two tables now, we have to
refer to the fields we are interested in as
table.field
15. Queries
Even More complex
SELECT cont…
To do this, return to your SQL query edit screen
and enter:
SELECT *
FROM Books INNER JOIN Actions
ON Actions.Object=Books.BookID
WHERE Year = 1982
Run this.
Play video here.
16. Changing Data
Now we may want to change the data. In
Microsoft Access, this is still done through the
same Screen where we were entering SQL
before.
The most useful may be the UPDATE and the
DELETE statements, which do exactly what they
say. These are what we will execute.
17. Update Statements
Say that you want to update the Authors field in the Books
table with (LOC) following the names to show that they
follow LOC name authority.
We will use the UPDATE statement and following SET
establish an expression to update the field.
To do this return to your SQL query edit screen and enter:
UPDATE Books
SET Author=Author + " (LOC)“
Note: the + , this
means add the following onto what is existing; we use “ “
because what is inside these is text entered into the table‟s field.
Play video here.
18. Delete Statements
Lets say that our collection deacessioned all
books made before 1970 and we want to delete
these from our files.
To do this return to your SQL query edit screen
and enter:
DELETE *
FROM Books
WHERE Year <1970
Notice how we used < instead of = to find entries
with values smaller than the number 1970.
Play video here.
19. Congratulations!
By now, you should have an understanding of SQL
and a basic knowledge of how to use SQL in
Microsoft Access
The best way to learn a new technology is to play
with it, I encourage you to do so. Before you
know it, you will be a pro!