Looker – Complete Guide to Google Looker – LookML Developer

Learn from greater than 7 hours of related educational video content material, with the one full newbie to professional information on Google Looker Developer (LookML). Master the ideas of LookML and apply them to actual-life settings.

Explore, analyze, visualize, and entry your information with Google Looker. Looker is used as a complicated enterprise intelligence (BI) and visualization software program related to Power BI and Tableau. Companies deploy Looker to their workers in order that they will make trusted choices and actions based mostly on their information.

More than 2,000 organizations use Looker. Looker is known as as a Visionary in Gartner’s Magic Quadrant.

Looker is formally a part of Google Cloud Platform. Google purchased Looker in 2020 for greater than $2.6 billion. This demonstrates Google’s funding that Looker would be the high tier BI and visualization software program of selection for corporations the world over.

This is the one full information to Google Looker and LookML for the Developer, from newbie to professional. This course will not be solely complete (it covers all the pieces you want to know proper from the beginning / newbie degree with LookML) however can also be educational in nature, which means that as we study new ideas, we’re additionally integrating them within the utility. Don’t simply study ideas, find out how to really apply them. This is very necessary with LookML. That additionally implies that whether or not you’re a newbie or professional, there’s one thing for you on this course.

This course is structured in a method that helps you study all of the ideas. For every idea, we first cowl it in idea after which apply it utilizing an actual life instance. We additionally progressively study increasingly more superior ideas, so that you just by no means really feel overwhelmed and may obtain your targets. By the tip of this course, you may be writing LookML to create Explores, Looks, Reports, and Dashboards.

Note: that is the Developer sequence. In this course, we study all the pieces {that a} developer of Google Looker would want to know. In explicit, we concentrate on writing LookML to create Explores {that a} shopper (User / Analyst) would use. We cowl subjects reminiscent of connecting information, defining dimensions and measures, growing views, becoming a member of two views collectively, coding dashboards, and so on.

If you as a substitute need to study the buyer view of Looker (analyzing information, creating stories, creating Looks, creating dashboards, organizing and sharing stories, creating customized fields, and so on.), then please take the User / Analyst course as a substitute. Feel free to watch the free preview of the Course Overview, or message me, when you’ve got any questions.

Again, that is the whole information to Google Looker and LookML for the Developer – you will not ever want one other course.

This course is the Developer sequence. If you haven’t already, I extremely suggest taking the User / Analyst sequence course first to clarify how a shopper would use Looker.

What is Looker?

Looker is a enterprise intelligence software program and large information analytics platform that organizations use to empower their workers to discover, analyze, and share actual-time enterprise analytics and insights. It is a part of the Google Cloud Platform after Google acquired Looker for over $2.6 billion.

What makes Looker totally different?

Looker is regarded as greater than an alternate to Power BI or Tableau. It operates 100% on the cloud and is browser-based mostly, which implies that no desktop software program is required or wants to be managed. It accommodates a trusted information mannequin, and a language referred to as LookML that enables customers to compile information and assign enterprise logic throughout the group. It additionally accommodates highly effective APIs and third-get together connectors which might be used to create workflows and apps out of your information.

What is LookML?

LookML is a structured language used as an different to your ETL layer. Simply put, LookML is code for creating views, dimensions, measures, aggregations, calculations, and information relationships to rework your uncooked information into an Explore. Specifically, the aim of LookML is to translate structured language (that is simple for customers to write and handle) into SQL queries (that are laborious to write and handle). Additionally, it may be used as code to create refined dashboards.

What is the Developer Series?

Looker is utilized by two teams of individuals:

• User / Analyst – these are people who would use Looker to analyze information, construct and devour stories / dashboards, create report workflows, and handle folders and boards. It can also be for these people who find themselves knew to Looker who need to perceive how Looker works on the entrance-finish earlier than they begin growing it. These are folks like information analysts, enterprise analysts, information scientists, product managers, division heads, and executives.

• Developer – these are people who can be liable for establishing Looker, and have it join and entry the underlying SQL information. These individuals are those liable for creating the underlying information mannequin in LookML that’s utilized by Users and Analysts. These are folks like software program builders, IT directors, and information engineers.

This course is the Developer sequence.

What are the principle options of Looker?

• LookML – structured mannequin language that’s used to assemble SQL queries towards a specific database; permits you to do complicated operations reminiscent of joins, aggregations, and filters; and standardize enterprise logic for widespread variables throughout your group

• Cloud-based – Looker is 100% on the cloud, which has huge advantages like not needing to handle a desktop software program, ease of deployment, and streamlined standardized person experiences

• Reports and dashboards – carry out refined evaluation in your uncooked information and create associated stories and dashboards to save and replay your work, with the power to add customized filters

• Curative and person-pleasant – Looker is straightforward to use with its no-code options and helper instruments

• Data mannequin – Looker enables you to create a full information mannequin in LookML that sits atop your uncooked information, which permits you to outline relationships between all of your information and standardize metrics

• Standardize, unified, and ruled enterprise logic – Because of the built-in information mannequin, customers all the time have probably the most up-to-date definition of enterprise logic

• Real-time – Looker connects to your uncooked information straight; no want to create ETLs on a well timed foundation and because of this, stories and dashboard are all the time 100% up-to-date

• Workflows, actions and customized utility – create workflows that schedule information emails based mostly on time or based mostly on a situation; complicated workflows with customized UI can be made

• Partner community – Looker has a large third-get together community permitting you to join exterior apps to your stories and dashboards, like Slack or Outlook

• Multi-DB help – Looker can be utilized on any underlying SQL Server (Microsoft SQL server, AWS, BigQuery, and so on.), supporting an enormous vary of SQL dialects

• Google – Looker is a part of Google Cloud Platform, and has the total backing and funding of a trillion greenback firm behind it

Why study Looker?

• Create construction queries – LookML permits you to handle and construction your ETL queries in an expert and straightforward method. You outline the relationships, aggregations, and dimensions, and the Looker takes care of the remainder when developing the related SQL queries.

• Standardize enterprise logic – LoookML is used to standardize widespread variables throughout your group, making it simple for it to carry out its duties in a constant method. Your customers will not combat over the precise definition and calculation of “net margin” for instance, due to LookML

• Get full entry to your information – since Looker is linked straight to your uncooked information, there is no such thing as a extra info misplaced within the ETL layer – information as granular as transaction information can be utilized inside Looker

• Drive extra insights – Looker is used to drive smarter outcomes in your group from higher and faster entry to information. It allows customers to carry out their very own evaluation, with the flexibleness of utilizing any dimension and measures as they see match.

• Create stories and dashboards – simply create refined stories and dashboards with impactful visualizations, and save them for future use. These stories even have drill-down options, permitting customers to get extra granular information in the event that they want to dig deeper.

• Get employed / improve your employability – Looker is utilized by greater than 2,000 high information-pushed organizations for a purpose; it allows highly effective choice making – studying how to devour and create stories and dashboards is a useful ability to enhance your pay price and ship worth

• Improve your toolkit – add this to your record of information analyst expertise – that is very highly effective at the side of different information analytic and enterprise intelligence expertise

Why select this course?

• Complete information – that is the 100% begin to end, zero to hero, fundamental to superior information on Looker and LookML for the Developer. There isn’t any different course prefer it that teaches you all the pieces from begin to end. It accommodates over 8 hours of educational content material!

• Fully educational – we not solely undergo necessary ideas, but additionally apply them as we’re constructing our stories and dashboards in order that we are able to solidify them. This will not be solely a walkthrough of the Looker options, however a course that truly builds with you, so we encourage you to comply with alongside.

• Step by step – we undergo each single idea in a sequential order (from newbie to professional). This improves your possibilities of studying Looker quite than going haphazardly via every characteristic.

• Learn to study – through the latter components of the course, we undergo conditions the place we encounter new options or errors, and work via how we might use the documentation to resolve them. In this manner, you not solely study Looker in and out, however find out how to resolve your individual points as they arrive up

• Teacher response – if there’s anything you desire to to study, or if there’s one thing you can’t determine, I’m right here for you! Just shoot me a message.

• Reference materials – comply with alongside! I present all reference materials straight to you so you may comply with alongside in your studying journey

Course overview – Developer

• Introduction – study Looker, its options, its historical past with Google, the course overview, and the way to succeed within the course

• Environment – create a sandbox account, create a LookML challenge, import information, find out how to load the pattern information into Looker, and get accustomed to some Looker terminology

• Beginner – join to database, load information, create dimensions and measures, apply filters, format fields, making use of labeling, create views, create location-associated fields

• Moderate – be a part of a number of views collectively, create teams of fields, apply superior formatting, create discover actions, modify view settings

• Expert – modify Explore settings, create parameters, code extensions, apply variables, work with Liquid variables, create dashboards parts and full dashboards

• Conclusion – earn your Looker Online certification, and examine subsequent steps

If you need to study Google Looker and LookML as a Developer , then that is the course for you. We’re trying ahead to having you within the course and hope you earn the certificates.

Music: Bensound

Who this course is for:

• Users of any analytics, enterprise intelligence, or visualization instruments
• Data engineers who need to simplify their handbook ETL course of
• Data engineers, analysts, and directors who need a greater method to handle information, stories, and dashboards
• Teams who’re presently deploying Looker of their group
• Analysts who construct dashboards for senior audiences, and need to automate that course of
• Managers who presently use Excel to construct stories and dashboards and need a greater method
• Data analysts, information scientists, and managers who need to rapidly discover insights of their information