Many companies handle large data in their daily activities and are looking for different ways to use the business data. They use different strategies and technologies to achieve this. Some of the common tools they use include Looker, which plays an important role in business decisions. Some of the activities performed by Looker include inspecting the database schemas and generating visualizations like graphs and charts to improve decision-making effectiveness. The collected data enables the team to communicate, making them achieve the team goals. According to Enlyft, there are around 3,811 that use Looker in their operations, showing a high demand for the technology. The article will cover different aspects of Looker and some of the cons and pros of using it.
Looker is a software and platform that helps in business intelligence and data analytics by analyzing, sharing, and exploring business analytics with ease. It has a web-based interface that eliminates the need to install desktop applications. It has a good user interface. It enables users to create dynamic and interactive dashboards. You can also use different parameters to create them for receiving alerts. You can also embed analytics and perform the scheduling and automation of report distribution. It is now part of the Google Cloud Platform and works well with different datasets. It uses data modeling to power different analytics usage, i.e., data management, analytics, data visualization, e.t.c.
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Some of the reasons why Looker is used include the following:
Good insights. Looker enables users to generate good insights from data using different functions. The insights help in initiating different conversations around the data.
It increases performance and reduces costs. The Looker has many features that enable users to use them in their applications and projects to improve the performance of the machines. It reduces the costs and makes it easy to scale any deployments.
When you need to build applications faster, you use Looker. It has UI components that you can incorporate into your workflows. It speeds development and makes the data experience good. Once you improve the development processes, the revenue increases.
Look got started by Lloyd Tabb and Ben Porterfield in 2012 at Santa Cruz, based in California. Their companies worked with other companies like Netscape, Luminate, and Liveops in building different software. They built Looker using LookML, which helps define relationships in databases to help company teams perform different actions like exploring, downloading, and saving data without using SQL. When they built Looker for the first time, it acted as a business intelligence platform where it worked with databases like Teradata, Vertica, Netezza, and Amazon Redshift. In August 2013, they raised their SERIE A funding from Redpoint Ventures of around $18M. They raised their seed round from First Round and PivotNorth Capital $2M.
They raised their SERIE B fundings of $30M in 2015 and hired Jen Grant as the marketing manager. In 2016, they raised SERIE C funding of $48M from Kleiner Perkins and had around 400 customers.
In 2016, the company released a book called Winning With Data, authored by Frank Bien, the Looker CEO, and Tomasz Tunguz, from Redpoint Ventures. In 2017, they raised SERIE D funding of $81.5M from Capital G.
In 2018, they got SERIE E funding of $103M from Premji Invest. In 2019, Google later bought Looker for $2.6 billion, and the deal got finalized in 2020. Their CEO Frank Ben left the company in 2022.
Looker is one of the best business intelligence platforms that exist in the data science field right now. You use Looker when you need better analytics. Most of its analytics as it uses Looker Blocks to customize the company's needs using different functions. You also use Looker when your organization has many members. If you have a company that has many employees, you can try Looker for good results. When you require instant and real-time data, it is good to use Looker. It provides instant analytics, saving you a lot of time. We also use it depending on the type of infrastructure the company uses, and you have to understand how it integrates with your application.
There are several steps one has to follow when installing Looker.
When installing Looker on your machine. It has to meet some requirements. Some of the requirements include a 1.2 GHz CPU,2GB swap file, 10 GB disk space,8 GB RAM, Linux, Java OpenJDK and OpenJDK latest versions, libssl, use of TCP PORT 9999 to allow inbound traffic, libssl, among others.
sudo useradd -m -g looker teamse
sudo su - teamse
chmod 0750 looker
java -jar looker.jar --help or java -jar looker.jar help
Most of the Looker use HyperSQL as a database, but you can also connect your preferred database like SQL. Now, the Looker set up is successful.
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Some of the Pros of looker include:
Cons of using Looker include:
Top 30 frequently asked Looker Interview Questions !
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Looker is a business intelligence that scans the existing databases to provide different reports.
It depends on the level of analytics you want. If you want deep analytics with a small team and cheap cost, you use Tableau, but if you have a big organization, you want fast results and good data visualizations, you use Looker.
Looker uses LookML for handling all its data operations like calculations, dimensions, relationships, e.t.c.
Looker is a software that handles all the business analytics. It makes it easy to create graphs and charts based on customized data that you achieve using different functions and filters.