参加 ログイン

Padmanabhan Lalith Aparna

メンバー加入日: 2022

ダイヤモンド リーグ

14105 ポイント
Looker Services Knowledge Test Earned 6月 30, 2025 EDT
Develop Data Models with LookML in Looker Earned 6月 27, 2025 EDT
Administer Looker Environments Earned 6月 26, 2025 EDT
Professional Machine Learning Engineer 学習ガイド Earned 3月 18, 2025 EDT
BigQuery ML を使用した予測モデリング向けのデータ エンジニアリング Earned 2月 27, 2025 EST
BigQuery でデータ ウェアハウスを構築する Earned 2月 26, 2025 EST
Google Cloud の ML API 用にデータを準備 Earned 2月 26, 2025 EST
Case Studies Earned 8月 5, 2022 EDT
Manage Data Models in Looker Earned 7月 29, 2022 EDT
Applying Advanced LookML Concepts in Looker Earned 7月 27, 2022 EDT
Developing Data Models with LookML - 日本語版 Earned 7月 27, 2022 EDT
Delivery Shadowing Earned 7月 25, 2022 EDT
Technology + Beyond the UI Earned 7月 21, 2022 EDT
Technology + Within the UI Earned 7月 20, 2022 EDT
Liquid Templates and Parameters Earned 7月 14, 2022 EDT
Extends to Keep LookML DRY Earned 7月 13, 2022 EDT
Version Control and Caching Earned 7月 13, 2022 EDT
Achieving Business Outcomes with Looker Earned 7月 7, 2022 EDT
Driving Data Culture and Designing Dashboards Earned 7月 6, 2022 EDT
Building Reports in Looker Earned 7月 5, 2022 EDT
Admin Roles and Folder Access Earned 7月 4, 2022 EDT
Build LookML Objects in Looker Earned 6月 30, 2022 EDT
Understanding LookML in Looker Earned 6月 24, 2022 EDT
The Modern Data Platform and LookML Earned 6月 24, 2022 EDT
Looker ダッシュボードとレポート用にデータを準備する Earned 6月 23, 2022 EDT
Table Calculations, Pivots, and Visualizations Earned 6月 21, 2022 EDT
Analyzing and Visualizing Data in Looker - 日本語版 Earned 6月 20, 2022 EDT
Looker Explained Earned 6月 17, 2022 EDT

IMPORTANT NOTE: There are only 2 attempts allowed for the knowledge test. If you don't pass you have to wait 14 days before your second and final attempt. Preparation and study are essential. Looker Services Knowledge Test: This comprehensive test validates advanced proficiency in Looker administration and development. Candidates will demonstrate their ability to: Administer and Maintain Looker Instances: Provision and configure Looker Cloud Core, establish database connections, manage authentication and authorization, analyze performance, and integrate with Google Cloud services. Develop and Optimize LookML Models: Design and implement complex LookML models, create derived tables, optimize performance, utilize Looker Marketplace blocks, manage Git deployments, and troubleshoot LookML and SQL errors. This advanced certification requires existing badge holders to re-validate their skills on the updated LookML content. For learners familiar with Looker: If you're familiar with Looker t…

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This challenge lab tests your LookML expertise in Looker. Successfully complete it to earn a badge and demonstrate your ability to develop and manage LookML models. Before starting this challenge lab skill badge, please review the following: For learners new to Looker: Proficiency in SQL is a key prerequisite for this LookML lab. Course: Developing Data Models in LookML Course: Analyzing and Visualizing Data in Looker Or the learners can complete the below Learning paths on Looker: BI & Analytics with Looker Looker Business Intelligence

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This challenge lab is designed to test your expertise in administering Looker (Google Cloud core). By completing this lab, you will demonstrate your ability to perform key administrative tasks and earn a badge showcasing your Looker proficiency. Before starting this challenge lab skill badge, please review the following: For learners new to Looker: Course: Developing Data Models in LookML Course: Analyzing and Visualizing Data in Looker Or the learners can complete the below Learning paths on Looker: BI & Analytics with Looker Looker Business Intelligence

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このコースでは、PMLE（Professional Machine Learning Engineer）認定資格試験に向けた学習計画を作成できます。学習者は、試験の範囲を把握したうえで、また、試験への準備状況を把握して、個々の学習計画を作成します。

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BigQuery ML を使用した予測モデリング向けのデータ エンジニアリング」のスキルバッジを獲得できる中級コースを修了すると、 Dataprep by Trifacta を使用した BigQuery へのデータ変換パイプラインの構築、 Cloud Storage、Dataflow、BigQuery を使用した抽出、変換、読み込み（ETL）ワークフローの構築、 BigQuery ML を使用した ML モデルの構築に関するスキルを実証できます。

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「BigQuery でデータ ウェアハウスを構築する」スキルバッジを獲得できる中級コースを修了すると、 データの結合による新しいテーブルの作成、結合のトラブルシューティング、UNION を使用したデータの連結、日付パーティション分割テーブルの作成、 BigQuery での JSON、配列、構造体の操作に関するスキルを証明できます。 スキルバッジは、Google Cloud の プロダクトとサービスに関する習熟度を示す Google Cloud 発行の限定デジタルバッジです。 これは、インタラクティブなハンズオン環境での知識の応用力を 証明するものです。このスキルバッジ コースと最終評価チャレンジラボを修了し、 デジタルバッジを獲得してネットワークで共有しましょう。

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「Google Cloud の ML API 用にデータを準備」コースの入門スキルバッジを獲得できるアクティビティを修了すると、 Dataprep by Trifacta を使用したデータのクリーニング、Dataflow でのデータ パイプラインの実行、Dataproc でのクラスタの作成と Apache Spark ジョブの実行、 Cloud Natural Language API、Google Cloud Speech-to-Text API、Video Intelligence API などの ML API の呼び出しに関するスキルを証明できます。 スキルバッジは、Google Cloud のプロダクトとサービスの習熟度を示す Google Cloud 発行の限定デジタルバッジで、 インタラクティブなハンズオン環境での知識の応用力を証明するものです。このスキルバッジ コースと最終評価チャレンジラボを修了し、 スキルバッジを獲得してネットワークで共有しましょう。

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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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Complete the intermediate Manage Data Models in Looker skill badge 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. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course, and the final assessment challenge lab, to receive a digital badge that you can share with your network.

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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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このコースを受講すると、スケーラブルでパフォーマンスの高い LookML（Looker モデリング言語）モデルを開発し、ビジネス ユーザーの疑問解決に役立つ標準化されたすぐに使えるデータを提供できるようになります。このコースの修了時には、組織の Looker インスタンスでデータをキュレートして管理するための LookML モデルの構築と維持が可能になります。

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

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

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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.

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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.

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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

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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.

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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.

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This course is designed for Looker users who want to create their own ad-hoc reports. It assumes experience of everything covered in our Get Started with Looker course (logging in, finding Looks & dashboards, adjusting filters, and sending data)

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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.

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Complete the introductory Build LookML Objects in Looker skill badge course to demonstrate skills in the following: building new dimensions and measures, views, and derived tables; setting measure filters and types based on requirements; updating dimensions and measures; building and refining Explores; joining views to existing Explores; and deciding which LookML objects to create based on business requirements.

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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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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.

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「Looker ダッシュボードとレポート用にデータを準備する」スキルバッジを獲得できる入門コースを修了すると、 データのフィルタ、並べ替え、ピボット、異なる Looker Explore から取得した結果の統合、 関数と演算子を使用してデータを分析し可視化するための Looker ダッシュボードとレポートの作成に関するスキルを実証できます。 スキルバッジは、Google Cloud のプロダクトとサービスの習熟度を示す Google Cloud 発行の限定デジタルバッジで、 インタラクティブなハンズオン環境での 知識の応用力を証明するものです。このスキルバッジ コースと 最終評価チャレンジラボを完了し、スキルバッジを獲得して ネットワークで共有しましょう。

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

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このコースでは、これまで主に SQL のデベロッパーやアナリストが行っていたようなデータの探索や分析を Looker で実施する方法について学びます。このコースを修了すると、Looker の最新の分析プラットフォームを活用して、組織の Looker インスタンスにおける関連性の高いコンテンツの検索と探索、データに関する問い合わせ、必要に応じた新しい指標の作成、データドリブンな意思決定を促進するためのビジュアリゼーションとダッシュボードの作成や共有を行えるようになります。

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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.

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