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Aleksandra Racheeva

Member since 2023

Silver League

7565 points
Inside Track: Looker Multistage Development Framework Earned ספט 29, 2023 EDT
Delivery Shadowing Earned אוג 8, 2023 EDT
Manage Data Models in Looker Earned יול 20, 2023 EDT
Applying Advanced LookML Concepts in Looker Earned יול 19, 2023 EDT
Understanding LookML in Looker Earned יול 18, 2023 EDT
Case Studies Earned יול 13, 2023 EDT
Developing Data Models with LookML Earned יונ 17, 2023 EDT
Prepare Data for Looker Dashboards and Reports Earned יונ 13, 2023 EDT
Analyzing and Visualizing Data in Looker Earned יונ 13, 2023 EDT
Build a Data Warehouse with BigQuery Earned יונ 9, 2023 EDT
Google Cloud Essentials Earned יונ 8, 2023 EDT

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.

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

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Complete the intermediate Manage Data Models in Looker skill badge course to demonstrate skills in the following: maintaining LookML project health; utilizing SQL runner for data validation; employing LookML best practices; optimizing queries and reports for performance; and implementing persistent derived tables and caching policies.

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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.

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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.

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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.

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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.

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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.

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In this course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. Upon completion of this course, you will be able to leverage Looker's modern analytics platform to find and explore relevant content in your organization’s Looker instance, ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision making.

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Complete the intermediate Build a Data Warehouse with BigQuery skill badge course to demonstrate skills in the following: joining data to create new tables, troubleshooting joins, appending data with unions, creating date-partitioned tables, and working with JSON, arrays, and structs in BigQuery.

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In this introductory-level course, you get hands-on practice with the Google Cloud’s fundamental tools and services. Optional videos are provided to provide more context and review for the concepts covered in the labs. Google Cloud Essentials is a recommendeded first course for the Google Cloud learner - you can come in with little or no prior cloud knowledge, and come out with practical experience that you can apply to your first Google Cloud project. From writing Cloud Shell commands and deploying your first virtual machine, to running applications on Kubernetes Engine or with load balancing, Google Cloud Essentials is a prime introduction to the platform’s basic features.

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