A Complete Guide to Looker


The looker is a BI solution based on cloud that assists you in exploring, sharing, and visualizing data to help you make business decisions that are better. Looker has been integrated into the Cloud Platform of Google. This enables everyone in your company to swiftly examine and discover insights from your datasets. Looker will make it relatively simple to create a platform for data exploration that will make your data meaningfully accessible to your entire company intuitively.

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A Complete Guide to Looker

The tactics and technology used by businesses for business information data analysis are referred to as business intelligence. You can make important business decisions with the assistance of Business Intelligence tools. Looker is one such BI tool, and we'll go over everything you must be aware of in this Looker Tutorial. Learn the concepts and skills required to upgrade with the
online Looker Training course.


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What exactly is Looker?

The looker is a BI solution based on cloud that assists you in exploring, sharing, and visualizing data to help you make business decisions that are better. Looker has been integrated into the Cloud Platform of Google. This enables everyone in your company to swiftly examine and discover insights from your datasets. Looker will make it relatively simple to create a platform for data exploration that will make your data meaningfully accessible to your entire company intuitively.

Looker makes use of the DML, which comes with a preset framework. Looker allows you to analyze data in a highly efficient and useful way. Looker allows you to connect to data from multiple sources and create customizable KPI dashboards, dashboards, and other reports.

Looker offers tools to support a variety of data experiences, including modern embedded analytics and BI, and also integrating processes and custom apps. Looker lets you the most recent version of your company's data regardless of where it is stored. It's the one-stop shop for business intelligence, data visualization, data management, and analytics.

Looker's Features

1. Breaking down the barriers to comprehension

Filtering to finer data slices from a dashboard in fewer clicks can provide you with significant insights. Furthermore, you may include data in each conversation while also being able to identify answers on the go, all from inside Slack.

2. Boosting performance and cost optimization

You can increase performance, save costs, and better handle enterprise-scale installations using Looker's sophisticated capabilities.

3. Faster development of improved data products

You can unleash new data type experiences and accelerate development procedures by using prebuilt UI components. Looker increases revenue growth and improves your product's competitive advantage at a minimal cost.
We recommend watching this Tutorial on Looker to understand how to use Looker quickly.

Architecture of Looker

In the AWS VPC, customers can host Looker. Installing, configuring, and managing Looker apps, as well as other IT responsibilities connected to Looker applications, becomes easier when you use a Looker-hosted instance. It's worth noting that the Looker application host is separate from data storage. Data is never copied to a Looker instance and is always stored in the database.

Looker also needs an outward network connection to authorize, backup Git, relay emails, and run licensing checks.

By default, the Internal databases of the Looker application use HyperSQL as an in-memory database. The database size expands in busy situations, causing performance concerns. The HyperSQL database must be replaced with a MySQL database backend to overcome these issues.

A proxy server/load balancer connects multiple looker devices in a clustered system. HTTPS is used by each node to interact with the others, adding an extra degree of protection.

For an instance of production with a cent percent uptime, this would be the recommended approach.

What exactly is LookML?

In a SQL database, LookML is the language for describing dimensions, aggregates, data relationships, and calculations. Looker uses the LookML concept to construct SQL queries against a particular database.

Working of Looker

A Looker is a program where SQL queries are created and execute against the database. Depending on a LookML project, that explains the relationship among the tables and columns in a database, it generates SQL queries.

The following stages will describe how a Looker works:

1. Query Viewing

You can find out what looker will send the database to acquire the data by looking at the SQL tab in the data section. You may even view queries in the SQL Runner using the buttons at the bottom.

2. A Looker Query's canonical form.

All of the dimensions, explorations, metrics, and views mentioned in a formula are defined by the LookML project.

3. Using Looker's SQL Runner to run raw SQL

Looker has the SQL runner capability that allows you to execute Database connectivity using SQL you've set up. SQL Runner's raw queries of SQL generate the same set of results.
If SQL has any errors, SQL runner would highlight the SQL command's error as well as the position of the error in an error message.

Installation of Looker

The steps for installing Looker for the Deployment of Looker on behalf of the customer are as follows:

1. Installation of Looker

Add the Looker for your server.
Start-up setup options for Looker.
Configure SSL certificates for HTTPS.
Port forwarding to cleaner URL.
For accessing your instance, activate Looker support.
Configure Looker for backups and monitoring.
Ascertain that Looker has access to critical services.
Install software for rendering.
Check to see if your instance of Looker has enough space to host the Action Hub of Looker.
Providing access to a secure database.

2. Configuring Looker's database.

3. Connecting to your database with Looker.

4. Database connections are being tested.

5. Setting up Looker's sign-in choices.

Conclusion

Looker is a tool to keep an eye on because of the functionality and robustness it offers. Now you have a basic understanding of Looker and its goal. This brings us to the conclusion of this blog. We hope you found it interesting to read.


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