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70-768 - Developing SQL Data Models - BrainDump Information

Vendor Name : Microsoft
Exam Code : 70-768
Exam Name : Developing SQL Data Models
Questions and Answers : 37 Q & A
Updated On : February 15, 2019
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70-768 exam Dumps Source : Developing SQL Data Models

Test Code : 70-768
Test Name : Developing SQL Data Models
Vendor Name : Microsoft
Q&A : 37 Real Questions

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Microsoft Developing SQL Data Models

developing customized answer templates in Azure statistics manufacturing unit | killexams.com Real Questions and Pass4sure dumps

(2019-Feb-eleven) Azure facts factory (ADF) provides you with a framework for developing statistics transformation solutions in the Microsoft cloud ambiance. these days added Template Gallery for ADF pipelines can pace up this construction procedure and provide you with valuable guidance to create further exercise projects for your pipelines. We naturally lengthy to are looking for if whatever common will also be extra adjusted. That customized design is like ordering an everyday pizza and then hitting the "personalize" button with the intention to add just a few toppings of our alternative. it might be very wonderful then to keep this custom-made "introduction" for future ordering. And Azure facts manufacturing facility has a similar option to shop your customized records transformation solutions (pipelines) as templates and reuse them later. when you open your statistics manufacturing facility UI, the choice to look and create your personal templates is obtainable for you. reside manufacturing unit mode does not help you add customized solution templates into the gallery. This "Templates" function is simply attainable for you in Azure statistics manufacturing facility GIT integrated mode. 


right here is how i was able to verify this: Step 1: Saving pipeline as a template I've modified a pipeline that become initially produced from the "replica multiple data containers between File retailers" ADF template and brought my customized internet email Notification endeavor assignment at the conclusion of the workflow. I have also made some extra changes to the identify and outline of this new "replica information with electronic mail Notification" pipeline. Then i will be able to hit the "save as template" button on the Pipeline tab so as to add this present answer to the ADF Gallery. a new window will demonstrate up with an overview of the entire recreation projects and Git place for the brand new template. In my case, this template became saved to my own GitHub. Step 2: Verifying your custom solution in the Template GalleryAfter efficaciously saving your ADF pipeline to the Template Gallery its name will seem beneath the Template on the left-hand facet of the Azure statistics factory UI. in case you should change this template which you could either add these code changes in the GitHub template JSON files without delay or drop and recreate it from the current pipeline once more. I additionally become able to see my custom ADF pipeline answer "copy File with e-mail Notification" within the Template Gallery. Which grabs your consideration to peer your personal name together with the Microsoft among the listing of template contributors. notwithstanding your introduction simplest exists within your personal facts factory workspace. Step 3: the use of your customized answer template you can both hit the ellipsis button beside the Pipelines and choose the "Pipeline from template" with the intention to open the Gallery Template or go appropriate to the "Templates" and decide your new consumer pipeline solution. it will open up a window and give you to set linked features, or in a case of your own customized solution template, those options may additionally fluctuate.  difference between a consumer answer ADF template and a cloned pipeline:which you can always clone an existing pipeline in ADF and deal with it as a template on your future building, youngsters, there are some changes between this method and pipeline from the Template gallery.1) You customized solution template will be saved in a separate "/template" Git region and it'll also be coupled with the happen.json file.2) A cloned pipeline will keep the entire normal settings from its guardian pipeline vs. interactive UI event to select/create further settings (e.g. linked capabilities) if you happen to add a new pipeline from a template. in my view, I really liked this option of saving my customized ADF pipeline answer as a template. It helps me to consider for you to now create an entire new statistics manufacturing unit as a template :-) official Microsoft documentation for answer templates in Azure facts factory: https://medical doctors.microsoft.com/en-us/azure/statistics-manufacturing facility/solution-templates-introduction  My custom "replica File with email Notification" solution template in my own GitHub: https://github.com/NrgFly/Azure-DataFactory/tree/grasp/Samples/templates

Microsoft is not The best strategy to cut back Wrap SQL Server In Containers | killexams.com Real Questions and Pass4sure dumps

Going ahead, there's little question that containers have become firmly centered because the technology of choice for software deployment – as a minimum unless this sort of time as option techniques like serverless computing outgrow them in recognition. here's as actual these days within the business as it was ten years ago when hyperscalers like Google first created usable and scalable containers

but organisations produce other concerns anyway scaling out, such as the want for containers to combine with their latest purposes and infrastructure. For an excellent many businesses, this skill wrapping containers round their windows Server techniques application and functions, as a minimum for on-premise deployments. although, Docker containers – which sparked the current commercial enterprise craze for using containers to aid developers circulate to a more quick release cadence – have been designed round Linux. Seeing which way the wind changed into blowing, Microsoft partnered with Docker returned in 2014 to port the Docker Engine to run on windows Server, which also involved including some underlying mechanisms to assist containers into the working device.

we now have covered Microsoft’s container support in additional element earlier than, however the crux of it's that windows containers must be constructed from a restrained variety of base pictures offered by using Microsoft that contain some or all the windows services layer that functions call upon to function. The upshot of here is that windows containers are a lot higher than these running on Linux, often several gigabytes in size.

This isn’t the best issue on home windows containers. A container will simplest run if it is deployed on a server working the same version of home windows because the base graphic from which it became created, that means that companies must rebuild their containers every time there is an up to date release of home windows Server. home windows containers are additionally most effective supported on home windows Server 2016 and later, which ability that the numerous commercial enterprise firms which have yet to migrate from prior releases of windows Server can't take knowledge of containers. And the rub is placing ancient releases in new containers is precisely what a lot of them would like to accomplish that they can assist legacy applications.

Microsoft isn't, youngsters, the simplest game on the town as far as containers on windows are concerned, and different platforms exist. One, Windocks, grew out of a port of Docker’s personal open source mission geared toward home windows, and uses a distinct set of constructs to create and function containers that enables it to operate on both windows Server 2012 and home windows Server 2016.

First releases in 2016, Windocks has on the grounds that developed a spotlight on assisting business customers that need to run SQL Server interior containers, together with types from SQL Server 2008 onwards. As part of this slant, the platform now not best comprises the commonplace equipment that developers can use to create new containers, but additionally automates the method of adding database copies to the container or mounting of a remote database, which can be a clone of the production database that the developer can work with all the way through trying out before their code is promoted to construction repute.

according to Windocks, it has taken this method as a result of clients want a solution that wholly supports SQL Server databases apart from allowing them to modernise their utility stack with containers, and their ability to offer this has viewed the enterprise prefer up a few economic functions consumers such as John Hancock, Liberty Mutual, and Franklin Templeton Investments.

“The customers that we’re working with wish to modernise their full stack application birth, they need an answer that helps containers, because containers are the long run, they want a solution that comprises facts beginning, but they additionally desire an answer that works with their present techniques and infrastructure and isn’t constrained to containers, so in case you’ve bought builders engaged on a shared SQL server example, they want that to be supportable,” Windocks vice chairman Paul Stanton tells The subsequent Platform.

And one of the most key differences between the Windocks container technology and Microsoft’s official container support for windows turns out to be fairly superb: compatibility with existing purposes and methods.

“It isn't commonly mentioned, however SQL Server containers on the Microsoft home windows design don't even guide windows Authentication, which out of the gate suggestions it out for the vast majority of business clients. And within the SQL server world, quantity shadow capabilities in SQL are the basis for most backup functions – these do not operate with Microsoft’s SQL Containers,” Stanton claims.

This interestingly comes all the way down to the way that Microsoft carried out containers on windows Server, copying the Linux mannequin where the containers are mostly remoted from the host operating system, which is why applications deserve to have the code libraries they depend on inside the container with them. In distinction, Windocks applied a container mechanism whereby the container includes just the application, running as a windows service however created and managed with the Docker commands and API. (there's just a little more to it than that, equivalent to resource management controls, but Windocks is coy about giving out full details).

The upshot of this is that SQL Server inside a Windocks container capabilities precisely like a traditional SQL Server instance, as a result of it really is practically what it is, however may also be deployed and managed by means of Docker as a relaxed “SQL Server sandbox”, in line with the firm.

There are further implications of this: whereas Microsoft’s containers require each and every container to be licensed as a virtual laptop (with a minimal four core license for each and every container), Windocks containers are not treated as a container beneath Microsoft licensing, as they do not encompass any parts of the operating equipment code. As Windocks containers are clones of an installed/licensed SQL Server example, the containers are considered additional named instances, and all SQL Server licenses enable for unlimited named circumstances on a licensed host.

meanwhile, the database cloning support that Windocks brought in 2017 offers users with the capacity to clone a quantity the usage of both windows virtual hard Drives (VHDs) or with the aid of tapping into the photo capabilities built into commercial enterprise SAN arrays, and afterwards connect it to a SQL Server image when a container is provisioned at runtime.

within the case of VHDs, the father or mother VHD is a full reproduction replica of the facts volume, with “differencing disks” that save any changes, providing one or more writable cloned databases. Scripts are run right through the dad or mum VHD build, in response to Windocks, growing an “immutable artifact that contains user permissions, data protecting, and different preparations for regulatory and policy compliance”.

the place a storage array is concerned, Windocks automates and manages the advent of a image of a extent, which is then mounted to the windows Server, and the databases in that extent uncovered to the person on the way to opt for which of them they should work with. All of here's accomplished via normal Dockerfile instructions and helps a large range of business SAN arrays – Windocks claims it has yet to find one that it cannot assist.

“We’ve bought purchasers that run Pure Storage, other shoppers working NetApp, others with EMC or Cohesity, and we’ve obtained customers that are using this technique to carry 25 TB facts warehouses to their developers. So, on-demand, we’ve bought a gadget at one customer that offers as much as 50 independent containers, and each can be running a 25 TB records warehouse, and so it’s literally over a petabyte of data online. They’re the usage of a Pure Storage array with Windocks managing the records lifecycle of this dynamic information for construction and test,” Stanton says.

the most fresh replace to the Windocks platform became the addition of assist for SQL Server Reporting functions (SSRS), Microsoft’s file producing device it's used by way of many organisations to generate internet-based mostly and printed document-fashion reviews from records held in SQL Server databases, as well as other sources. This is available in the form of a brand new Windocks SQL Server graphic that includes the database engine and SSRS running inside a container.

based on Windocks, its valued clientele are the usage of this means to add SSRS aid to SQL Azure, which lacks this capacity, and Microsoft as a substitute touts power BI as its cloud-based reporting platform. firms would understandably opt to be in a position to continue to use the reviews that they've already gathered, each on premises and in the cloud.

general, Windocks does not appear to be trying to displace Microsoft’s home windows container expertise, which after all has the foremost advantage in that it's baked into the working device from windows Server 2016 onwards. in its place, Windocks has concentrated on a number of key areas where Microsoft’s container aid falls short of enterprise requirements, comparable to when modernising functions that use SQL Server, whereas .web and Java, and different photos are also obtainable.

Windocks licenses start with a free community version that is limited to two simultaneous containers. Paid-for licenses delivery at $499 per thirty days for a server that supports 20 simultaneous containers.

Microsoft Azure SQL Database | killexams.com Real Questions and Pass4sure dumps

We overview items independently, however we may also earn affiliate commissions from buying links on this page. phrases of use.

Microsoft Azure SQL Database (whose pricing varies) is a totally managed and neatly designed, relational cloud database with vast SQL engine compatibility and greater than a splash of desktop gaining knowledge of (ML). a powerful experience of familiarity stems partially from an effortlessly recognizable dashboard corresponding to all things Microsoft. That feeling additionally partly rises from the convenience in the usage of favourite applications with out altering the code and the usage of your entire favorite SQL tools with out so much as taking pause. ML can provide automated advice in performance (such as counseled indexing), reliability, and security. builders and company analysts will likely love this Database-as-a-carrier (DBaaS) for all of those causes. it truly is additionally why this providing earns an Editors' alternative in our DBaaS options review roundup, along with MongoDB Atlas.

Competitor IBM Db2 on Cloud is easy to set up however Microsoft Azure SQL Database is standard to navigate. that is peculiarly so if you have spent any time on Microsoft products in regularly occurring or on Microsoft Azure in specific which, I dare say, a pretty good variety of individuals have. eventually count number, there are four.1 million databases, bringing the entire measurement to 154 petabytes (PB). There are 421,000 subscriptions pouring out 3 trillion batch requests per day. If a SQL database isn't what you're trying to find, then Microsoft presents alternatives in other cloud-primarily based products, similar to Azure Cosmos DB, a dispensed multi-model database; desk Storage, a NoSQL key-cost keep for rapid building the usage of semi-structured large information; and, Redis Cache, for top-throughput and low-latency, entry to scale Azure apps. Microsoft Azure capabilities also assist the MariaDB, MySQL, and PostgreSQL (aka Postgres) databases.

Pricing model

Microsoft Azure SQL Database pricing is staged throughout Elastic Pool, Managed illustration, and Single Database models. you'll find a customizable charge calculator right here for all three alternatives. as an example, I used the calculator to compute the prices of a single database in the South imperative u.s., calculated in the vCore buy mannequin on the regular aim Tier, in US greenbacks and priced by way of the hour.

The vCore pricing mannequin is presently in preview and lets you scale compute, reminiscence, and storage one by one. One vCore equals one actual imperative processing unit (CPU), so I selected four in the charge equation, which gave me 28 gigabytes (GB) reminiscence at $1.13 per hour. Likewise, storage is scalable and can be configured between 5 GB and four terabytes (TB) at 1GB increments. The charge for that is $0.138 per GB per 30 days. Backup storage is free while vCore is in preview. Ditto for inputs/outputs (I/O). observe that the company essential Tier pricing is significantly greater. 4 CPUs can charge $2.9613 per hour and storage expenses $0.30 GB per 30 days, but backup storage and information I/O are still free while VCore pricing remains in preview. A Database Transaction Unit purchase mannequin incorporates a bundle of 2GB compute and 2GB storage for $4.89 per month.

Azure Hybrid Use benefit for SQL Server allows you to use your on-premises windows Server licenses to run windows digital machines (VMs) on Azure for less funds. as an example, it saves you as much as 30 percent on each the only database and elastic pool alternate options in the vCore mannequin.

Database Transaction Unit (DTU) is the leading pricing mannequin, that means Microsoft bundles compute, memory, and storage. as an example, within the normal tier, 10 DTUs, which include 250 GB of storage, prices $0.0202 per hour. added facts storage above it really is priced at $0.085 per GB per 30 days, whereas lengthy-term backup storage is an extra $0.046 per GB per 30 days. that you can go tremendous affordable through identifying the basic five DTUs, so as to cost you $5 monthly.

guide plans start at $29 per month. SQL Database possibility Detection prices the equal as the Azure safety middle usual tier at $15 per node per thirty days; both are also integrated. A node is defined as one SQL database server.

little by little

The Microsoft Azure SQL Database portal is brilliantly designed. you can entry a large variety of points without delay from the browser. The setup manner is simple and takes only a minute or two. There is no need to installation anything however, like Amazon Relational Database provider and Google BigQuery, you do want a mothership account first. You won't want a Microsoft Outlook electronic mail address, despite the fact, to set up a Microsoft account.

after you have a Microsoft account id and password, that you would be able to create an SQL Database with a free Microsoft Azure trial account. or you can buy an account or use your latest account. sign in together with your Microsoft account. the entire settings you are going to want are on the left-hand facet of the monitor in the portal.

once on the portal, use Connection Libraries to opt for the language and operating system drivers you want to use to join with Azure SQL Database or Microsoft SQL Server. click New to spin up a brand new database during the Azure market. There you are going to choose the pricing tier, identify the database, establish a supply and the like to installation the database in the cloud. you might be now not in reality establishing infrastructure so or not it's painless to do.

you can populate it with current records units obtainable through the portal, or create a clean database and load your own statistics. if you are migrating facts from Microsoft Excel to SQL Database, then that you would be able to do it in a single step through the use of the SQL Server Import and Export Wizard, SQL Server Integration features (SSIS), or the OPENROWSET function. you are going to want to use Managed illustration if you are migrating a big number of latest SQL Server databases or relocating legacy purposes from on-premises or VMs to SQL Database. if you locate any of this overwhelming or perplexing, then ask your database administrator (DBA) to assist you put it up. but clients with as a minimum some adventure with databases will probably locate this method handy to observe. If all you have completed before is use spreadsheets, even though, then you definately'll possible need a hand along the manner, both out of your DBA or from Microsoft guide.

As to my testing event, once on the portal, I clicked "All supplies" on the left-hand side of the reveal to get to the test account Microsoft supplied me. From the substances list, I clicked "SiteEE," one of the Azure SQL databases. The next monitor presented me with an inventory of Quickstart tutorials, which can be value your time to explore. however, the gadget is intuitive, and many clients will with no trouble be able to find their method on their own. you could additionally promptly launch an app by clicking the "Create a DevOps project" button on this reveal.

but returned to my verify database. My SiteEE dashboard puts everything at my fingertips from the endeavor log, query Editor, and a list of characteristic settings, to lots of efficiency visualizations, database properties and danger alerts.

In a few clicks, I deploy a geo-replicated secondary in case my fundamental suffers an outage. This lets me handle failovers so I live in compliance with rules and inner guidelines. You can make as lots of these as you desire, however be cautious as it will have an effect on your prices.

It changed into simply as handy for me to do every little thing else from viewing vulnerability assessments to scaling up or down with a slide bar to manage my useful resource use and fees. there's a value calculator there, too, similar to the one IBM Db2 on Cloud has, so i will see funds have an impact on from my scaling alterations immediately.

The Toolbox

that you may use all your favourite SQL equipment with this database. App features makes it easy to convey alongside apps devoid of altering the rest within the code. machine researching in Azure SQL Database can suggest records indexing and other efficiency advancements.

facts Clarification characteristic and Dynamic information covering are each effective in making sure your data is compliant with strict privacy laws, such as compliance with the time-honored facts protection rules (GDPR) and in proposing an audit trail. The Geo-replication feature even lets you handle vicinity of failovers and to fix in the equal area because the simple.

extra, SQL Server management Studio is a standalone application app used to configure and manipulate all Azure SQL Database add-ons. And the free device, Microsoft SQL Operations Studio, can be used to manage Azure SQL Database on macOS and Linux.

Microsoft Azure has 50 regions world wide and a hundred and forty nation areas. That closely outnumbers most cloud suppliers. It potential users will locate it effortless to area apps close to their statistics and their customers to enrich performance and reduce lag, and to be in stronger compliance with regional regulations.

which you could try the complete SLA for Azure SQL Database, but in a nutshell, they guarantee at least ninety nine.ninety nine percent uptime. lots of support plans are available, ranging from $29 per month to a $1,000 per month.

SQL Database instantly performs full, differential, and transaction log backups for aspect-in-time restores (PITRs) at no additional cost. the primary full backup is scheduled automatically after a database is created. Then full database backups are weekly, differential database backups take place each few hours, and transaction log backups are performed each 5 to 10 minutes. clients can examine geographical areas for backup and restore data copies.

ordinary, Microsoft Azure SQL Database is one of the easiest cloud databases to make use of. or not it's additionally outstanding in assisting you with GDPR compliance and lag controls through providing more place offerings than any of its competitors.

Microsoft Azure SQL Database


final analysis: Microsoft Azure SQL Database is a brilliant Database-as-a-provider (DBaaS) answer for developers, enterprise analysts, and database directors given its ease of use and exemplary controls.

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Developing SQL Data Models

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Following a notion for SQL, architect creates NoSQL data modeling notation | killexams.com real questions and Pass4sure dumps

Emerging NoSQL data styles bring rapid development for innovative applications. But NoSQL also creates challenges. NoSQL systems can go into production quickly, sometimes without any upfront schema creation at all. However, analyzing NoSQL system output can be difficult when basic data modeling practices are eschewed. This was on Ted Hills' mind when he set out to create a modeling notation that spanned SQL and NoSQL styles, enabling better NoSQL data modeling.

As an enterprise architect working on development and governance of enterprise data models at LexisNexis, Hills has seen efforts to incorporate SQL and NoSQL structured and unstructured data assets up close. In his new book, NoSQL and SQL Data Modeling, Hills describes Concept and Object Modeling Notation, or COMN (pronounced "common"), which shows how to bring NoSQL under the bigger modeling tent. We first heard him speak about COMN at Enterprise Data World 2016 and caught up with him more recently to discuss these issues.

How did you come to see the need for a new notation for data modeling?

Ted Hills: I have used mostly entity relationship [ER] modeling in my work, as well as the Unified Modeling Language [UML] for software design. I was trying to model a metadata model and found it is really tough to do in ER, in that a fundamental assumption of ER is that all data is eventually going to be placed in tables. But that is not what the target is necessarily going to be if the target is a NoSQL database.

I found there were things I just could not bend or stretch the ER notation to represent. At a physical level, the two things that ER can't represent are arrays and nested types. At the logical level, it is more subtle.

Then I tried [Unified Modeling Language] and that didn't work. I tried fact-based modeling and that didn't work out either.

You see, all three of those modeling notations had some problems -- mistakes made at the fundamental level. And I decided I would try to address those by developing my own notation, COMN. Now, understand, COMN is open to the other methods in that you can take ER, UML or fact-based models and express them in COMN. That is because it covers all the same concepts, but it covers them more universally.

Doesn't it seem, sometimes, that the rush to NoSQL obscures the need for NoSQL data modeling?

Hills: Well, we've seen the whole NoSQL world getting carried away with the fact that they did not have to tell the DBMS [database management system] what the schema of the data was before they started storing it -- which is wonderful. You don't have to spend weeks or months developing your data model before you can store your first byte. You can just store your data and figure out the model later.

But we also saw a lot of folks -- especially those working more exclusively in software development environments -- who had never worked on data projects per se that were making the typical mistake. They would just throw the data in, without any thought to its schema, and then find later that their queries didn't perform, that they were missing data, that they didn't have keys for identifying subsets of the data that were important. The results could be tragic.

Data projects that start with data models usually fare better than those that don't. That observation remains true even in the NoSQL world. The big difference with NoSQL is that, since the database doesn't force you to do a model, it's more likely developers will just throw data in and then struggle to make things work later on.

Still, you've remarked that NoSQL expands the toolbox for application builders in some ways, and that relational DBMSes have some limitations.

Hills: Sure, if your only physical implementation platform is an RDBMS, there are limitations. One is that you are forced to store any repeating data in its own table and you are forced to give it a key whether the key has logical significance or not. But the fact is that the relational model of data is poorly understood -- in reality, it's about how to think about data, not about how you store data. Some things about the relational model are just not taught and are not well-known.

Give us an idea of what we can expect to learn when we read NoSQL and SQL Data Modeling. Why do we need a new notation?

Hills: Each of the existing notations has built-in assumptions that make it really hard to think about fundamental data issues. I felt that we had to start from scratch. One of the things the new model makes evident is that decisions about keys are sometimes logical and sometimes physical. I, and others, have discovered that, when you have to make a decision about a key, it is really interesting to see if that decision needs to be expressed in the logical model or should only be expressed in the physical model. In the ER notation, it is often needed simply because that model doesn't allow you to have nested types or arrays. But sometimes you need that key for logical reasons -- and then it belongs in the logical model. But no other notation can allow you to have the key in one or the other [levels]. That wasn't possible before COMN.

Ruby on Rails: SQL Database & Models | killexams.com real questions and Pass4sure dumps

What is a database?

Hmmm... The first thought that comes to my mind is “something” that stores data, information.

But this “definition” is quite imprecise! An array, a hash, a linked list, or any data structure can be “something” that is able to store data.

When you turn off the computer, you lose every data values that were stored in that array (the same as all data structures). So it’s not a good idea to store all my precious data.


We need to solve two problems here:

  • Store data and get it anytime we want.
  • Store data in an organized and structured way, so we can get it in an easy way.
  • Should I store all the data in a notepad? Just put all the information inside it separated by commas, save the txt file, and done. Now I can open it and get all the data I want. We can store data and get it anytime… problem solved!

    We solved this problem, but we missed the other. Now all the data is stored and we don’t lose it. But not well-structured in the file. We need the rule to store and get data in an organized and well-structured form.

    Let’s think about how can we organize the data in a well structured way.

    What about organizing all the data in tables?

    So, what we have here: We have the table’s header (columns name: First Name, Last Name, Address, etc) and it’ll have values that we’ll store. For example, if we want to store the string “Mickey” (the value), it’ll be stored in the “First Name” column.

  • Table: let’s say People
  • Columns: First name, Last Name, Address, etc
  • Rows: in this case, we can say that a row can be a person with, for example, first name “Mickey”, last name “Mouse”, address “123 Fantasy Way”, etc.
  • Fields: all data stored in the database.
  • And now we have a well-structured way to store data: Table way!

    How about get, delete, insert, and update data?

    We’ll use SQL language (I’ll not mention NoSQL world!) to manipulate data. Let’s get the basics!

  • GET: if we want to get all data (person) from People table, we need to select it from that table.
  • The (*) symbol means that it will select all columns from People table. If we can get all columns, we can specify which columns we need for this select.

    2. DELETE: we want to delete all data from our People table.

    But it’s not common to delete all data from a table. We usually use a condition to delete, like “I want to delete all people under age (less than 21 years old)”. We will learn it later in this post!

    3. INSERT: we will insert/store data into the table.

    or we can specify which columns we want to insert data.

    4. UPDATE: we have stored data, but we want to update it.

    Using conditions in our queries

    Now we can use SQL language to query (select, delete, insert, update) data.

  • But if we want to delete just records with last name Kinoshita?
  • Or if we want to update a specific person with first name Leandro and last name Kinoshita?
  • Or just select all data from people table and sorted by age from younger to older?
  • Yeah, we use conditions like where and order by and operators like or and and. Let’s see some examples:

  • Deleting all records from people table with last name Kinoshita.
  • Updating all records from people table with first name Leandro and last name Kinoshita.
  • Selecting all records from people table but order by age. (in ascending order → ASC)
  • Relationship between tables

    We know how to execute queries (with or without conditions). Let’s understand how the tables’ relationship works.

  • One to One (1–1): it’s about a relationship between two tables in which one can only belong with the other. e.g. A person has one passport and that passport belongs to that specific person. So in this example, we have table People, table Passports and a 1–1 relationship.
  • One to Many (1-n): it’s about a relationship between two tables in which a record from one table can reference many records from another. e.g. Imagine an e-commerce platform: users, orders, products, payments, etc. A user can have many orders, and each order belongs to that specific user. So in this example, we have table Users, table Orders, and a 1-n relationship.
  • Many to Many (n-n): it’s about a relationship between two tables in which a record from one table can reference many records from another. And a record from another can also reference many records from the one. e.g. We have again the e-commerce platform: we divide products into categories. A category has many products (Category Technology has many products like cell phones, notebooks, etc) and a product can belong to many categories (Product Cellphone belongs to Technology and Electronics Categories). So in this example, we have table Products, table Categories, and an n-n relationship.
  • Rails Mode ON

    We understood the meaning of databases, tried some basic queries, and made the relationship between tables. But how can we use that knowledge in the Ruby on Rails and web development World?

    First of all: Rails is Rails. The Database is Database. Is it obvious? But people usually get confused about that.

    A User model can represent a Users table. But the model isn’t the table.

  • In the database, we have tables and rows.
  • On rails, we have models (classes) and objects.
  • Imagine a blog site. The blog needs an author for each post. So we create an Authors table with some columns (first_name, last_name, etc)

    .. in the migration, we add columns first_name, last_name, email, birthday, email, created_at, and updated_at. (created_at and updated_at are created by the t.timestamps code.

    So we created a migration (Ruby code), run rake db:migrate command in the terminal and it generates a table Authors with first_name, last_name, email, birthday, email, created_at, and updated_at columns.

    Back to Rails, we can create an Author model:

    So now we have an Authors table with some columns and an Author model.

    Using Rails Console

    Open the terminal and type bundle exec rails c. Remember, we are in the RAILS console, so we have classes, objects, attributes, etc.

    Relationship on Rails

    We created an Authors table/model. What we need now is a Posts table/model. An author has many posts and a post belongs to a specific author. The relationship here is one to many (1-n). Remember?

    So when we create a Posts table, we need to store a reference to the post’s author (column author_id in the Posts table). It’s known as the Foreign Key.

    And how do we relate the models?

    author has_many posts post belongs_to an author Using Rails Console

    * Quick explanation about has_many and belongs_to. Both codes are methods defined on ActiveRecord class. If you see, we create our models inheriting from ActiveRecord::Base.

    Remember on Ruby Foundation that we studied about Object Oriented Programming, the Inheritance part? This is why we can use has_many and belongs_to methods without defining it anywhere on our application. Rails handles it for us.

    If you want to understand this concept deep, clone the Rails repo or understand the Behind the Scenes of the ‘Has Many’ Active Record Association.

    Queries on Rails

    We can query using ActiveRecord methods:

  • all: Get all objects from a specific model.
  • Behind the scenes, it is executing the SELECT * FROM posts query.

  • find: Using find we can get the object by the id (primary key).
  • Behind the scenes, it is executing SELECT * FROM posts WHERE id = 1 query.

  • where: Get the objects that pass the conditions.
  • Behind the scenes, it is executing SELECT * FROM posts WHERE title = 'Database & Rails'query.

  • order: Sort all objects based on a column.
  • Behind the scenes, it is executing SELECT * FROM posts ORDER BY created_at DESC query.

    That’s all!

    We learned a lot here. I hope you guys could appreciate the content and learn more about how the Databases and Rails models work.

    This is one more step forward in my journey to learning and mastering Rails and web development. You can see the documentation of my complete journey here on my Renaissance Developer publication.

    Have fun, keep learning and coding.

    Exam Ref 70-768 Developing SQL Data Models | killexams.com real questions and Pass4sure dumps

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