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Shreya Naik

Member since 2023

Bronze League

1600 points
Data Warehousing for Partners: BigQuery Extended Capabilities Earned Aug 8, 2023 EDT
Data Warehousing for Partners: Analyze Data with Looker Earned Aug 8, 2023 EDT
Data Warehousing for Partners: Streaming Analytics Earned Aug 8, 2023 EDT
Data Warehousing for Partners: Stream Data with Pub/Sub Earned Aug 8, 2023 EDT
Data Warehousing for Partners: Process Data with Dataflow Earned Aug 8, 2023 EDT
Data Warehousing for Partners: Cloud Data Fusion Pipelines Earned Aug 8, 2023 EDT
Data Warehousing for Partners: Process Data with Dataproc Earned Aug 8, 2023 EDT
Data Warehousing for Partners: Migrate Data to BigQuery Earned Aug 8, 2023 EDT
Data Warehousing for Partners: Optimize in BigQuery Earned Aug 8, 2023 EDT
Data Warehousing for Partners: Design in BigQuery Earned Aug 8, 2023 EDT
Data Warehousing for Partners: Enable Google Cloud Customers Earned Aug 8, 2023 EDT
Data Warehousing for Partners: Data Warehouse Migration with BigQuery Earned Aug 8, 2023 EDT
BigQuery Fundamentals for Snowflake Professionals Earned Aug 3, 2023 EDT
BigQuery Fundamentals for Oracle Professionals Earned Aug 3, 2023 EDT
BigQuery Fundamentals for Redshift Professionals Earned Aug 3, 2023 EDT
BigQuery Fundamentals for Teradata Professionals Earned Aug 2, 2023 EDT
Data Lake Modernization on Google Cloud Earned Jul 25, 2023 EDT
Google Cloud Essentials Earned Jul 19, 2023 EDT

This course explores the Geographic Information Systems (GIS), GIS Visualization, and machine learning enhancements to BigQuery.

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This course explores how to leverage Looker to create data experiences and gain insights with modern business intelligence (BI) and reporting.

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This course explores how to implement a streaming analytics solution using Dataflow and BigQuery.

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This course explores how to implement a streaming analytics solution using Pub/Sub.

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This course continues to explore the implementation of data load and transformation pipelines for a BigQuery Data Warehouse using Dataflow.

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This course continues to explore the implementation of data load and transformation pipelines for a BigQuery Data Warehouse using Cloud Data Fusion.

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This course explores the implementation of data load and transformation pipelines for a BigQuery Data Warehouse using Dataproc.

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This course identifies best practices for migrating data warehouses to BigQuery and the key skills required to perform successful migration.

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Welcome to Optimize in BigQuery, where we map Enterprise Data Warehouse concepts and components to BigQuery and Google data services with a focus on optimization.

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Welcome to Design in BigQuery, where we map Enterprise Data Warehouse concepts and components to BigQuery and Google data services with a focus on schema design.

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This course discusses the key elements of Google's Data Warehouse solution portfolio and strategy.

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In this course, you will receive technical training for Enterprise Data Warehouses solutions using BigQuery based on the best practices developed internally by Google’s technical sales and services organizations. The course will also provide guidance and training on key technical challenges that can arise when migrating existing Enterprise Data Warehouses and ETL pipelines to Google Cloud. You will get hands-on experience with real migration tasks, such as data migration, schema optimization, and SQL Query conversion and optimization. The course will also cover key aspects of ETL pipeline migration to Dataproc as well as using Pub/Sub, Dataflow, and Cloud Data Fusion, giving you hands-on experience using all of these tools for Data Warehouse ETL pipelines.

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This course covers BigQuery fundamentals for professionals who are familiar with SQL-based cloud data warehouses in Snowflake and want to begin working in BigQuery. Through interactive lecture content and hands-on labs, you learn how to provision resources, create and share data assets, ingest data, and optimize query performance in BigQuery. Drawing upon your knowledge of Snowflake, you also learn about similarities and differences between Snowflake and BigQuery to help you get started with data warehouses in BigQuery. After this course, you can continue your BigQuery journey by completing the skill badge quest titled Build and Optimize Data Warehouses with BigQuery.

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This course covers BigQuery fundamentals for professionals who are familiar with SQL-based cloud data warehouses in Oracle and want to begin working in BigQuery. Through interactive lecture content and hands-on labs, you learn how to provision resources, create and share data assets, ingest data, and optimize query performance in BigQuery. Drawing upon your knowledge of Oracle, you also learn about similarities and differences between Oracle and BigQuery to help you get started with data warehouses in BigQuery. After this course, you can continue your BigQuery journey by completing the skill badge quest titled Build and Optimize Data Warehouses with BigQuery.

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This course covers BigQuery fundamentals for professionals who are familiar with SQL-based cloud data warehouses in Redshift and want to begin working in BigQuery. Through interactive lecture content and hands-on labs, you learn how to provision resources, create and share data assets, ingest data, and optimize query performance in BigQuery. Drawing upon your knowledge of Redshift, you also learn about similarities and differences between Redshift and BigQuery to help you get started with data warehouses in BigQuery. After this course, you can continue your BigQuery journey by completing the skill badge quest titled Build and Optimize Data Warehouses with BigQuery.

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This course covers BigQuery fundamentals for professionals who are familiar with SQL-based cloud data warehouses in Teradata and want to begin working in BigQuery. Through interactive lecture content and hands-on labs, you learn how to provision resources, create and share data assets, ingest data, and optimize query performance in BigQuery. Drawing upon your knowledge of Teradata, you also learn about similarities and differences between Teradata and BigQuery to help you get started with data warehouses in BigQuery. After this course, you can continue your BigQuery journey by completing the skill badge quest titled Build and Optimize Data Warehouses with BigQuery.

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This course focuses on how you can bring your on-premises data lakes and workloads to Google Cloud to unlock cost savings and scale.

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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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