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Aysha Thasneem AM

Jest członkiem od 2022

Liga srebrna

9800 pkt.
Monitoring in Google Cloud Earned cze 15, 2023 EDT
Level 2: Cloud security Earned cze 15, 2023 EDT
Build Serverless Applications with Cloud Run Functions Earned cze 13, 2023 EDT
Build Event-Driven Applications with Eventarc Earned cze 13, 2023 EDT
Implement Cloud Storage and Data Protection Solutions Earned cze 13, 2023 EDT
Create a Secure Data Lake on Cloud Storage Earned cze 8, 2023 EDT
Organize and Govern Data with Knowledge Catalog Earned cze 6, 2023 EDT
Level 1: Data with Google Cloud Earned cze 6, 2023 EDT
Analyze Speech and Language with Google APIs Earned cze 1, 2023 EDT
[Deprecated] Get Started with Looker Earned cze 1, 2023 EDT
Qwiklabs Trivia May 2023 Earned maj 31, 2023 EDT
Use Machine Learning APIs on Google Cloud Earned maj 29, 2023 EDT
Level 1: Data, ML and API Skills Earned maj 29, 2023 EDT
Build a Data Warehouse with BigQuery Earned maj 22, 2023 EDT
Streaming Analytics into BigQuery Earned maj 22, 2023 EDT
Level 2: Data Exploration with Looker, BigQuery and Sheets Earned kwi 23, 2023 EDT
Analyze BigQuery Data in Connected Sheets Earned kwi 23, 2023 EDT
Store, Process, and Manage Data on Google Cloud - Command Line Earned kwi 22, 2023 EDT
Store, Process, and Manage Data on Google Cloud - Console Earned kwi 22, 2023 EDT
Level 1: Managing Resources and Data in the Cloud Earned kwi 22, 2023 EDT
Monitor and Manage Google Cloud Resources Earned kwi 21, 2023 EDT
BigQuery for Machine Learning Earned sie 16, 2022 EDT
DEPRECATED BigQuery Basics for Data Analysts Earned sie 16, 2022 EDT
Uzyskiwanie statystyk z danych BigQuery Earned sie 16, 2022 EDT
NCAA® March Madness®: Bracketology with Google Cloud Earned sie 14, 2022 EDT
Understanding LookML in Looker Earned sie 13, 2022 EDT

Complete the introductory Monitoring in Google Cloud skill badge course to demonstrate skills in the following: using Cloud Monitoring tools to monitor resources on Google Cloud.

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There’s so much more to cloud security than making your passwords something other than “password”. As more and more businesses move their data and applications to the cloud, the importance of - and demand for - cloud security is growing exponentially. In fact, the demand for cloud security professionals is outpacing the supply: according to a report by Cybersecurity Ventures, there are roughly 3.5 million unfilled cybersecurity positions around the world in 2023. Unlock your cloud security potential with hands-on experience in the Arcade - each lab teaches and tests your growing tech skills, and sets you on the path to a Google Cloud credential.

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Earn a Introductory skill badge by completing the Build Serverless Applications with Cloud Run Functions course, where you learn how to use Cloud Run functions through the Google Cloud console and on the command line.

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Earn a Skill Badge by completing the Build Event-Driven Applications with Eventarc course. In this course, you use Eventarc to create event triggers for different resources, including Pub/Sub topics and Cloud Storage buckets.

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Earn a Skill Badge by completing the Implement Cloud Storage and Data Protection Solutions course. Learn to create a Cloud Storage bucket, use the command line, and protect objects with Bucket Lock.

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Complete the introductory Create a Secure Data Lake on Cloud Storage skill badge course to demonstrate skills in the following: securing and configuring a Cloud Storage bucket, using Gemini for text generation, managing IAM access control, and establishing a Knowledge Catalog lake for data governance.

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Complete the introductory Organize and Govern Data with Knowledge Catalog skill badge to demonstrate skills in the following: creating Knowledge Catalog assets, creating aspect types, and applying aspects to entries in Knowledge Catalog.

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The demand for data skills is growing rapidly, and we want you to get some of that sweet knowledge! According to a report by the McKinsey Global Institute, the demand for data scientists and analysts is expected to grow by 150% by 2025. Data can be used to identify trends, patterns, and insights that can help businesses improve their operations, products, and services - which makes data career paths highly valuable. There are a lot of different aspects to data science, so it's important to start with the basics - and we’ve got you covered. Kickstart your data skills discovery and get hands-on experience in the Arcade, with labs that help you learn and earn your first Google Cloud credential. No experience required.

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Earn a skill badge by completing the Analyze Speech and Language with Google APIs quest, where you learn how to use the Natural Language and Speech APIs in real-world settings.

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Earn a skill badge by completing the Get Started with Looker skill badge course, where you learn how to analyze, visualize, and curate data using Looker Studio and Looker.

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Welcome to Qwiklabs Trivia for May! Each week, we will release a new set of questions to test your knowledge. You will have opportunities to play throughout the month. Give your career a boost with hands on experience on GCP and partner services and earn the May badge.

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Earn the advanced skill badge by completing the Use Machine Learning APIs on Google Cloud course, where you learn the basic features for the following machine learning and AI technologies: Cloud Vision API, Cloud Translation API, and Cloud Natural Language API.

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Demand for cloud-skilled workers is rising. According to a report by Indeed, cloud computing jobs are expected to grow 22% over the next five years, much faster than the average for all occupations. And demand for machine learning jobs is expected to grow 75%. Want to grow your skills and take advantage of the opportunity? Level up your tech skills and get hands-on experience in the Arcade, with labs that help you learn and earn your first Google Cloud credential. No experience required.

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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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Earn a skill badge by completing the Streaming Analytics into BigQuery skill badge course, where you use Pub/Sub, Dataflow and BigQuery together to stream data for analytics.

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Description: According to IDC, by 2026, 7 PB of data will be generated per second globally. But what you *do* with the data is what matters. Data is the heart of digital transformation and offers incredible opportunities for organizations to accelerate the most strategic business outcomes, like revenue and productivity. Want to grow your skills and take advantage of the opportunity? Play now to get hands-on experience with Google Cloud's powerful data tools. Each lab teaches and tests your growing tech skills, and sets you on the path to your first Google Cloud credential.

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Complete the Analyze BigQuery Data in Connected Sheets skill badge to demonstrate that you can use Connected Sheets to access, analyze, visualize, and share billions of rows of BigQuery data from your Google Sheets spreadsheet.

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Cloud Storage, Cloud Functions, and Cloud Pub/Sub are all Google Cloud Platform services that can be used to store, process, and manage data. All three services can be used together to create a variety of data-driven applications. In this skill badge you use Cloud Storage to store images, Cloud Functions to process the images, and Cloud Pub/Sub to send the images to another application.

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Cloud Storage, Cloud Functions, and Cloud Pub/Sub are all Google Cloud Platform services that can be used to store, process, and manage data. All three services can be used together to create a variety of data-driven applications. In this skill badge you use Cloud Storage to store images, Cloud Functions to process the images, and Cloud Pub/Sub to send the images to another application.

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More than 90% of IT leaders say they're looking to grow their cloud environments in the next several years, yet more than 80% of those same leaders identified a lack of skills as a barrier to growth. This means that tech skills (particularly cloud skills!) are in high demand. Want to grow your skills and take advantage of the opportunity? Play now to get hands-on experience with Google Cloud. Each lab teaches and tests your growing tech skills, and sets you on the path to your first Google Cloud credential. No experience required.

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Complete the introductory Monitor and Manage Google Cloud Resources skill badge to demonstrate skills in the following: granting and revoking IAM permissions; installing monitoring and logging agents; creating, deploying, and testing an event-driven Cloud Run function.

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Want to build ML models in minutes instead of hours using just SQL? BigQuery ML democratizes machine learning by letting data analysts create, train, evaluate, and predict with machine learning models using existing SQL tools and skills. In this series of labs, you will experiment with different model types and learn what makes a good model.

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Want to scale your data analysis efforts without managing database hardware? Learn the best practices for querying and getting insights from your data warehouse with this interactive series of BigQuery labs. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.

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Ukończ szkolenie wprowadzające Uzyskiwanie statystyk z danych BigQuery, aby zdobyć odznakę potwierdzającą zdobycie następujących umiejętności: pisanie zapytań SQL, tworzenie zapytań dotyczących tabel publicznych, wczytywanie przykładowych danych w BigQuery, naprawianie typowych błędów składniowych przy użyciu walidatora zapytań w BigQuery oraz tworzenie raportów w Data Studio przez tworzenie połączenia z danymi BigQuery.

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In this series of labs you will learn how to use BigQuery to analyze NCAA basketball data with SQL. Build a Machine Learning Model to predict the outcomes of NCAA March Madness basketball tournament games.

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In this course, 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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