Learn 11ty, Axios and Mongodb

MongoDB has a quite powerful aggregation framework that allows you to write data processing pipelines. Documents in the MongoDB collection go through a series of stages or a pipeline that transforms them into an aggregated result. In this short video series, you will learn how to write aggregations in MongoDB.

mongodb

MongoDB Aggregation Framework

Eleventy, or 11ty,  is a simple yet very powerful static site generator. It does not require any config to get started.

This what it will take you to get an 11ty project running.

```
npm install -g @11ty/eleventy
echo '# Page header' > README.md
eleventy
```

After watching this collection you will be able to:

* Bootstrap a simple 11ty website
* Use 11ty layouts
* Chaining multiple 11ty layouts
* Use 11ty Collections
* Create pages from data

...and much more

Eleventy was created to be a JavaScript alternative to Jekyll. It’s zero-config by default but has flexible configuration options. Eleventy works with your project’s existing directory structure.

Eleventy uses independent template engines. We don’t want to hold your content hostage. If you decide to use something else later, having your content decoupled in this way will make migration easier.

11ty

Getting Started with Eleventy

Start from a blank project and build up to an Eleventy site that includes a blog collection and is prepared to source content from a headless CMS. You'll also learn how to add Sass as the styling solution, complete with triggering 11ty to re-compile when the Sass changes.

These lessons will help explain key 11ty features and concepts to help you make the most of this amazing static site generator.

By the last lesson, you'll have learned how to:
- define custom `input` and `output` directories
- create a layout that accesses front matter variables
- watch for Sass changes and include CSS in the build proces
- create an 11ty collection using `tags`
- define front matter for an entire collection
- make and apply a filter to a collection
- generate pages from an external data source, such as a CMS or API

Build An Eleventy (11ty) Site From Scratch

In this video, you will learn to bootstrap an eleventy project.

we'll start from an empty directory, initialize it as an npm package, install `@11ty/eleventy` package and create the website entry point.

Eleventy can compile multiple file formats, HTML, markdown, liquid, and njk.

Check out the eleventy [docs](https://www.11ty.dev/docs/) for more information.

Bootstrap an eleventy project

In this video, you will learn how to use the eleventy layouts feature.
Eleventy Layouts are special templates that can be used to wrap other content.


for more information check the layouts [docs](https://www.11ty.dev/docs/layouts/)

Use eleventy layouts

In this video, you will learn how to use layout chaining with eleventy.
Layouts in eleventy can use other layouts. You can also use a different template engine across layouts. This is very handy if we want to wrap some pages with extra markup but not all the pages.


for more information check out the eleventy [docs](https://www.11ty.dev/docs/layout-chaining/)

Use Layout Chaining in eleventy

In this video, you will learn how to create pages from data in eleventy. a data source can be a JSON file or a js file.

for more information check out the eleventy [docs](https://www.11ty.dev/docs/pages-from-data/)

Create pages from data in eleventy

In this video, you will learn how to use the collection feature in eleventy.
Collections will allow to group content under one tag and loop through it in your template files

for more information check out the eleventy [docs](https://www.11ty.dev/docs/collections/)

Use Collections in eleventy

Aggregation in MongoDB is really powerful and allows you to create solid pipelines to extract and transform data. This is an introductory video that aims to demonstrate the basics of aggregation — we will see how to create some basic pipeline to extract data using `$match` and manipulate the output using `$project` stages.

The aggregation stages/operators covered in this video are:

* [`$match`](https://docs.mongodb.com/manual/reference/operator/aggregation/match/index.html)
* [`$project`](https://docs.mongodb.com/manual/reference/operator/aggregation/project/index.html)
* [`$concat`](https://docs.mongodb.com/manual/reference/operator/aggregation/concat/)

You can see the list of all the [available operators in the MongoDB docs](https://docs.mongodb.com/manual/reference/operator/aggregation/)


Find and Manipulate Data using Aggregation in MongoDB

In our last lesson, we learnt the basics of MongoDB aggregation and saw how we can [find and manipulate data](https://egghead.io/lessons/mongodb-find-and-manipulate-data-using-aggregation-in-mongodb). In this continuation, we will see how we can sort, skip and limit records during our aggregation stages.

The aggregation stages/operators covered in this video are:

* [`$sort`](https://docs.mongodb.com/manual/reference/operator/aggregation/sort/index.html)
* [`$skip`](https://docs.mongodb.com/manual/reference/operator/aggregation/skip/index.html)
* [`$limit`](https://docs.mongodb.com/manual/reference/operator/aggregation/limit/index.html)

You can see the list of all the [available operators in the MongoDB docs.](https://docs.mongodb.com/manual/reference/operator/aggregation/)

Sort, Skip and Limit Records in MongoDB Aggregation

Mongoose provides a straight-forward, schema-based solution to model your application data. It includes built-in type casting, validation, query building, business logic hooks and more, out of the box.

mongoose

One of the great things about NoSQL databases is that you do not have to decide on your data schema while developing. As you get closer to production though, you'll often want to more clearly define the shape of the data you are working with.

Enforce Schemas in MongoDB using Mongoose Models

Unlike the relational databases, MongoDB doesn't allow you to join collections using the simple `find` queries, but you can write the join queries using the aggregation framework. In this lesson, we learn how to join two collections to get the data in the format we want.

The aggregation operators that we cover in this video are:

- [`$lookup`](https://docs.mongodb.com/manual/reference/operator/aggregation/lookup/index.html)
- [`$project`](https://docs.mongodb.com/manual/reference/operator/aggregation/project/index.html)
- [`$arrayElemAt`](https://docs.mongodb.com/manual/reference/operator/aggregation/arrayElemAt/index.html)

You can see the list of all the [available operators in the MongoDB docs.](https://docs.mongodb.com/manual/reference/operator/aggregation/)

Write Joins in MongoDB

[In our last lesson](https://egghead.io/lessons/mongodb-group-by-and-sum-in-mongodb?pl=mongodb-aggregation-framework-3e5d), we saw how we can use `$group` operator to simulate `GROUP BY` operations that you might be aware from SQL. A minor gimmick with `$group` is that it only works with the scalar field values and not arrays. There might be times when you would want to group by some array fields; in this lesson, we learn how to do that using `$unwind` operator

Here is the list of operators that we cover in this lesson:

- [$unwind](https://docs.mongodb.com/manual/reference/operator/aggregation/unwind/index.html)
- [$group](https://docs.mongodb.com/manual/reference/operator/aggregation/group/index.html)
- [$sort](https://docs.mongodb.com/manual/reference/operator/aggregation/sort/index.html)
- [$limit](https://docs.mongodb.com/manual/reference/operator/aggregation/limit/index.html)

You can see the list of all the [available operators in the MongoDB docs](https://docs.mongodb.com/manual/reference/operator/aggregation/).


Perform Group Operations on Array Fields in MongoDB

In this lesson, we learn how to group documents in a collection using `$group` operator similar to `GROUP BY` in SQL. We also look at `$sum` operator and see how we can use it to count the number of documents as well as get sum of some field in our grouped results.

Here is the list of operators that we cover in this lesson:

* [`$group`](https://docs.mongodb.com/manual/reference/operator/aggregation/group/index.html)
* [`$sum`](https://docs.mongodb.com/manual/reference/operator/aggregation/sum/index.html)
* [`$sort`](https://docs.mongodb.com/manual/reference/operator/aggregation/sort/index.html)

You can see the list of all the [available operators in the MongoDB docs](https://docs.mongodb.com/manual/reference/operator/aggregation/).


Group By and Sum in MongoDB

Begining from a brand new project, learn how to install Eleventy (11ty), and add `develop` and `build` scripts. Next, define a custom configuration to set preferred input and output directories. Then create a home page file and your first layout while learning how 11ty handles mixing templating languages.

Create an Eleventy (11ty) Site From Scratch

Learn how to add Sass to an Eleventy (11ty) project including directing 11ty to re-compile when Sass changes are made. This step involves adding two new functions to the `.eleventy.js` configuration: `addWatchTarget()` and `addPassthroughCopy()`. Then, define the link to the compiled CSS file within an 11ty layout.

Add Sass Compiling and Watch for Changes in Eleventy (11ty)

Create a blog directory with posts for your Eleventy (11ty) project, and learn how to define the posts as an 11ty collection using `tags`. Then make a blog index page and write a `for` loop with Nunjucks to output a list of each post linked to the post page.

Define an Eleventy (11ty) Collection to Create a Blog

Filters in Eleventy (11ty) are a way to mutate data including string variables or arrays such as collections. Learn to create a filter for use on a collection which will select a random item from the collection.

Apply a Filter to an Eleventy (11ty) Collection

Eleventy (11ty) is able to run any JavaScript or Node functions at build time. This makes it possible to source external data such as from a headless CMS or other API. Learn how to generate pages from data pulled from a mock CMS using the 11ty `pagination` method and designate the data as an 11ty collection. You'll also learn how to define variables for the page using `eleventyComputed`, and then write a `for` loop to output a link to each page.

Generate Eleventy (11ty) Pages From External Data

Express is a minimal and flexible Node.js web application framework that provides a robust set of features for web and mobile applications.

express

Mongoose allows you to easily select resources by ID from your MongoDB. This is an important aspect to creating an API.

Select by ID with Mongoose and Express

Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications. Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices.

node

Learn how to import data into your MongoDB and then use Express to serve a simple Node.js API.

Topics

Instructors

Content Type