Join Sign in

Tarun Chopra

Member since 2022

Diamond League

11010 points
Prepare Data for ML APIs on Google Cloud Earned דצמ 17, 2024 EST
Implementing Cloud Load Balancing for Compute Engine Earned דצמ 9, 2024 EST
Get Started with Dataplex Earned דצמ 3, 2024 EST
Build Data Lakes and Data Warehouses on Google Cloud Earned נוב 13, 2024 EST
Preparing for your Professional Data Engineer Journey Earned אוק 28, 2024 EDT
Innovating with Data and Google Cloud - בעברית Earned אוג 24, 2023 EDT
Digital Transformation with Google Cloud - בעברית Earned אוג 23, 2023 EDT
Manage Data Models in Looker Earned אפר 12, 2023 EDT
Build LookML Objects in Looker Earned אפר 10, 2023 EDT
Delivery Shadowing Earned אפר 10, 2023 EDT
Case Studies Earned אפר 4, 2023 EDT
Technology + Beyond the UI Earned מרץ 22, 2023 EDT
Technology + Within the UI Earned מרץ 22, 2023 EDT
Table Calculations, Pivots, and Visualizations Earned מרץ 13, 2023 EDT
Building Reports in Looker Earned מרץ 13, 2023 EDT
Liquid Templates and Parameters Earned פבר 9, 2023 EST
Extends to Keep LookML DRY Earned פבר 8, 2023 EST
Admin Roles and Folder Access Earned פבר 8, 2023 EST
Version Control and Caching Earned פבר 7, 2023 EST
The Modern Data Platform and LookML Earned פבר 7, 2023 EST
Driving Data Culture and Designing Dashboards Earned ינו 30, 2023 EST
Achieving Business Outcomes with Looker Earned ינו 30, 2023 EST
Looker Explained Earned ינו 30, 2023 EST

Complete the introductory Prepare Data for ML APIs on Google Cloud skill badge to demonstrate skills in the following: cleaning data with Dataprep by Trifacta, running data pipelines in Dataflow, creating clusters and running Apache Spark jobs in Dataproc, and calling ML APIs including the Cloud Natural Language API, Google Cloud Speech-to-Text API, and Video Intelligence API.

Learn more

Complete the introductory Implementing Cloud Load Balancing for Compute Engine skill badge to demonstrate skills in the following: creating and deploying virtual machines in Compute Engine and configuring network and application load balancers.

Learn more

Complete the introductory Get Started with Dataplex skill badge to demonstrate skills in the following: creating Dataplex assets, creating aspect types, and applying aspects to entries in Dataplex.

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 helps learners create a study plan for the PDE (Professional Data Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.

Learn more

טכנולוגיית הענן לבדה מספקת לעסק חלק קטן בלבד מהערך האמיתי שלה. כשהיא משולבת עם נתונים בנפח רב מאוד, נוצרת העוצמה שמאפשרת להפיק ערך וליצור חוויות חדשות ללקוחות. במסגרת הקורס הזה תלמדו מהם נתונים, איך השתמשו בהם בעבר בחברות לצורך קבלת החלטות ולמה הם קריטיים כל כך ללמידה חישובית. בנוסף, בקורס הזה יוצגו ללומדים מושגים טכניים כמו נתונים מובְנים ולא מובְנים, מסד נתונים, מחסן נתונים (data warehouse) ואגמי נתונים (data lakes). בהמשך, הקורס יעסוק במוצרי Google Cloud הנפוצים ביותר בתחום הנתונים, ובמוצרים כאלה ששיעור השימוש בהם גדל במהירות הרבה ביותר.

Learn more

מהי טכנולוגיית ענן ומהו מדע הנתונים? וחשוב יותר, איך הם יכולים לעזור לכם, לצוות שלכם ולעסק שלכם? קורס המבוא הזה בנושא טרנספורמציה דיגיטלית מתאים למי שרוצה ללמוד על טכנולוגיית הענן כדי להתמקצע ולהצטיין בעבודתו וכדי לעזור בפיתוח העתיד של העסק. בקורס יוגדרו מונחי יסוד כגון הענן, נתונים וטרנספורמציה דיגיטלית. בנוסף, נבחן דוגמאות של חברות מרחבי העולם שמשתמשות בטכנולוגיית הענן כדי לבצע טרנספורמציה בעסק. הקורס כולל סקירה של סוגי ההזדמנויות שיש לחברות ושל האתגרים הנפוצים שחברות מתמודדות איתם במהלך טרנספורמציה דיגיטלית. הקורס גם מדגים איך עמודי התווך של פתרונות Google Cloud יכולים לעזור בתהליך. חשוב לומר: טרנספורמציה דיגיטלית לא קשורה רק לשימוש בטכנולוגיות חדשות. כדי הטרנספורמציה תהיה מלאה, ארגונים צריכים גם ליישם חדשנות ולפתח דפוס חשיבה שמקדם חדשנות בכל התחומים והצוותים. השיטות המומלצות המתוארות בקורס יעזרו לכם להשיג את המטרה הזו.

Learn more

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.

Learn more

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.

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

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)

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