Join Sign in

Devashish Poudel

Member since 2021

Bronze League

2100 points
Inside Track: Looker Hosting Reference Implementations Enablement Earned Apr 11, 2022 EDT
DEPRECATED BigQuery for Data Analysis Earned Apr 1, 2022 EDT
Applying Machine Learning to your Data with Google Cloud Earned Mar 31, 2022 EDT
Achieving Advanced Insights with BigQuery Earned Mar 29, 2022 EDT
Exploring and Preparing your Data with BigQuery Earned Mar 28, 2022 EDT
Looker and BigQuery Extended Capabilities Earned Mar 14, 2022 EDT
Inside Track: Looker Multistage Development Framework Earned Mar 12, 2022 EST
Delivery Shadowing Earned Mar 8, 2022 EST
Case Studies Earned Mar 7, 2022 EST
Technology + Beyond the UI Earned Mar 7, 2022 EST
Technology + Within the UI Earned Mar 7, 2022 EST
Table Calculations, Pivots, and Visualizations Earned Mar 6, 2022 EST
Liquid Templates and Parameters Earned Mar 6, 2022 EST
Extends to Keep LookML DRY Earned Mar 3, 2022 EST
Admin Roles and Folder Access Earned Mar 3, 2022 EST
Version Control and Caching Earned Mar 3, 2022 EST
The Modern Data Platform and LookML Earned Mar 3, 2022 EST
Driving Data Culture and Designing Dashboards Earned Mar 3, 2022 EST
Achieving Business Outcomes with Looker Earned Mar 3, 2022 EST
Looker Explained Earned Mar 3, 2022 EST
Build Data Lakes and Data Warehouses on Google Cloud Earned Feb 14, 2022 EST
Google Cloud Big Data and Machine Learning Fundamentals Earned Feb 10, 2022 EST
Derive Insights from BigQuery Data Earned Feb 9, 2022 EST
Understanding LookML in Looker Earned Jan 17, 2022 EST
Prepare Data for Looker Dashboards and Reports Earned Jan 6, 2022 EST
Applying Advanced LookML Concepts in Looker Earned Jan 3, 2022 EST
Developing Data Models with LookML Earned Jan 1, 2022 EST

In this course participants will learn how to deploy and maintain Looker successfully. Participants will gain experience leveraging tools such as Kubernetes to deploy Looker in a variety of configurations, including legacy single-node VM’s to Managed Instance groups to the glorious Kubernetes future. To conclude participants will cover how to communicate with clients and drive engagement.

Learn more

Want to learn the core SQL and visualization skills of a Data Analyst? Interested in how to write queries that scale to petabyte-size datasets? Take the BigQuery for Analyst Quest and learn how to query, ingest, optimize, visualize, and even build machine learning models in SQL inside of BigQuery.

Learn more

In this course, we define what machine learning is and how it can benefit your business. You'll see a few demos of ML in action and learn key ML terms like instances, features, and labels. In the interactive labs, you will practice invoking the pretrained ML APIs available as well as build your own Machine Learning models using just SQL with BigQuery ML.

Learn more

The third course in this course series is Achieving Advanced Insights with BigQuery. Here we will build on your growing knowledge of SQL as we dive into advanced functions and how to break apart a complex query into manageable steps. We will cover the internal architecture of BigQuery (column-based sharded storage) and advanced SQL topics like nested and repeated fields through the use of Arrays and Structs. Lastly we will dive into optimizing your queries for performance and how you can secure your data through authorized views. After completing this course, enroll in the Applying Machine Learning to your Data with Google Cloud course.

Learn more

In this course, we see what the common challenges faced by data analysts are and how to solve them with the big data tools on Google Cloud. You’ll pick up some SQL along the way and become very familiar with using BigQuery and Dataprep to analyze and transform your datasets. This is the first course of the From Data to Insights with Google Cloud series. After completing this course, enroll in the Creating New BigQuery Datasets and Visualizing Insights course.

Learn more

Explore the Looker platform and examine the extended capabilities offered through BigQuery.

Learn more

The goals at the end of this course are to be able to articulate to customers when and why they should use Looker’s multistage development framework and to share high-level ways to promote LookML code and content across multiple Looker instances.

Learn more

In this course, you shadow a series of client meetings led by a Looker Professional Services Consultant.

Learn more

By the end of this course, you should feel confident employing technical concepts to fulfill business requirements and be familiar with common complex design patterns.

Learn more

In this course you will discover additional tools for your toolbox for working with complex deployments, building robust solutions, and delivering even more value.

Learn more

Develop technical skills beyond LookML along with basic administration for optimizing Looker instances

Learn more

This course reviews the processes for creating table calculations, pivots and visualizations

Learn more

In this course you will discover Liquid, the templating language invented by Shopify and explore how it can be used in Looker to create dynamic links, content, formatting, and more.

Learn more

Hands on course covering the main uses of extends and the three primary LookML objects extends are used on as well as some advanced usage of extends.

Learn more

This course is designed to teach you about roles, permission sets and model sets. These are areas that are used together to manage what users can do and what they can see in Looker.

Learn more

This course aims to introduce you to the basic concepts of Git: what it is and how it's used in Looker. You will also develop an in-depth knowledge of the caching process on the Looker platform, such as why they are used and why they work

Learn more

This course provides an introduction to databases and summarized the differences in the main database technologies. This course will also introduce you to Looker and how Looker scales as a modern data platform. In the lessons, you will build and maintain standard Looker data models and establish the foundation necessary to learn Looker's more advanced features.

Learn more

This course provides an iterative approach to plan, build, launch, and grow a modern, scalable, mature analytics ecosystem and data culture in an organization that consistently achieves established business outcomes. Users will also learn how to design and build a useful, easy-to-use dashboard in Looker. It assumes experience with everything covered in our Getting Started with Looker and Building Reports in Looker courses.

Learn more

In this course, we’ll show you how organizations are aligning their BI strategy to most effectively achieve business outcomes with Looker. We'll follow four iterative steps: Plan, Build, Launch, Grow, and provide resources to take into your own services delivery to build Looker with the goal of achieving business outcomes.

Learn more

By the end of this course, you should be able to articulate Looker's value propositions and what makes it different from other analytics tools in the market. You should also be able to explain how Looker works, and explain the standard components of successful service delivery.

Learn more

While the traditional approaches of using data lakes and data warehouses can be effective, they have shortcomings, particularly in large enterprise environments. This course introduces the concept of a data lakehouse and the Google Cloud products used to create one. A lakehouse architecture uses open-standard data sources and combines the best features of data lakes and data warehouses, which addresses many of their shortcomings.

Learn more

This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.

Learn more

Complete the introductory Derive Insights from BigQuery Data skill badge course to demonstrate skills in the following: Write SQL queries.Query public tables.Load sample data into BigQuery.Troubleshoot common syntax errors with the query validator in BigQuery.Create reports in Looker Studio by connecting to BigQuery data.

Learn more

In this quest, you will get hands-on experience with LookML in Looker. You will learn how to write LookML code to create new dimensions and measures, create derived tables and join them to Explores, filter Explores, and define caching policies in LookML.

Learn more

Complete the introductory Prepare Data for Looker Dashboards and Reports skill badge course to demonstrate skills in the following: filtering, sorting, and pivoting data; merging results from different Looker Explores; and using functions and operators to build Looker dashboards and reports for data analysis and visualization.

Learn more

In this course, you will get hands-on experience applying advanced LookML concepts in Looker. You will learn how to use Liquid to customize and create dynamic dimensions and measures, create dynamic SQL derived tables and customized native derived tables, and use extends to modularize your LookML code.

Learn more

This course empowers you to develop scalable, performant LookML (Looker Modeling Language) models that provide your business users with the standardized, ready-to-use data that they need to answer their questions. Upon completing this course, you will be able to start building and maintaining LookML models to curate and manage data in your organization’s Looker instance.

Learn more