Join Sign in

VINAYAKA PALLAKKI

Member since 2022

Silver League

3800 points
Data Warehousing for Partners: Cloud Data Fusion Pipelines Earned Jun 16, 2023 EDT
Data Lake Modernization on Google Cloud: Cloud Composer Earned May 22, 2023 EDT
Data Warehousing for Partners: Stream Data with Pub/Sub Earned Mar 30, 2023 EDT
Build Infrastructure with Terraform on Google Cloud Earned Nov 11, 2022 EST
Set Up an App Dev Environment on Google Cloud Earned Oct 25, 2022 EDT
Prepare Data for ML APIs on Google Cloud Earned Sep 25, 2022 EDT
Engineer Data for Predictive Modeling with BigQuery ML Earned Sep 22, 2022 EDT
Implementing Cloud Load Balancing for Compute Engine Earned Sep 19, 2022 EDT
Google Cloud Big Data and Machine Learning Fundamentals Earned Sep 18, 2022 EDT
Modernizing Data Lakes and Data Warehouses with Google Cloud Earned Sep 7, 2022 EDT

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

Learn more

Welcome to Cloud Composer, where we discuss how to orchestrate data lake workflows with Cloud Composer.

Learn more

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

Learn more

Complete the intermediate Build Infrastructure with Terraform on Google Cloud skill badge to demonstrate skills in the following: Infrastructure as Code (IaC) principles using Terraform, provisioning and managing Google Cloud resources with Terraform configurations, effective state management (local and remote), and modularizing Terraform code for reusability and organization.

Learn more

Earn a skill badge by completing the Set Up an App Dev Environment on Google Cloud course, where you learn how to build and connect storage-centric cloud infrastructure using the basic capabilities of the of the following technologies: Cloud Storage, Identity and Access Management, Cloud Functions, and Pub/Sub. 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, and the final assessment challenge lab, to receive a skill badge that you can share with your network.

Learn more

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. 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 skill badge that you can share with your network.

Learn more

Complete the intermediate Engineer Data for Predictive Modeling with BigQuery ML skill badge to demonstrate skills in the following: building data transformation pipelines to BigQuery using Dataprep by Trifacta; using Cloud Storage, Dataflow, and BigQuery to build extract, transform, and load (ETL) workflows; and building machine learning models using BigQuery ML. 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 the skill badge course, and final assessment challenge lab, to receive a digital badge that you can share with your network.

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

This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.

Learn more

The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment. This is the first course of the Data Engineering on Google Cloud series. After completing this course, enroll in the Building Batch Data Pipelines on Google Cloud course.

Learn more