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Anshul Jaiswal's Projects

airflow icon airflow

This repository contains the exercises and solutions for the Data Pipelines course

airflow-training icon airflow-training

Introduction to the data pipeline management with Airflow. Airflow schedule and maintain numerous ETL processes running on a large scale Enterprise Data Warehouse

awesome-azure-learning icon awesome-azure-learning

This repo includes plenty of references for Azure learning, especially for the Azure certs and Azure architecture, and any other learning materials e.g. security and automation topics.

azure-data-factory-for-data-engineers---project-on-covid19 icon azure-data-factory-for-data-engineers---project-on-covid19

Built a data ingestion pipeline in Azure Data lake to Visualize Countries With Highest Corona Virus Hospital Admissions Using Azure Data Factory(ADF), Azure Data Studio, Azure Data Lake Storage Gen2, Azure SQL Database, Azure Blob Storage, Dataflow, Data Brick Transformation and Hd-insight

azuredatafactoryhol icon azuredatafactoryhol

Azure Data Factory Hands On Lab - Step by Step - A Comprehensive Azure Data Factory and Mapping Data Flow step by step tutorial

azuredevopslabs icon azuredevopslabs

Learn how you can plan smartly, collaborate better, and ship faster with a set of modern development services with Azure DevOps.

ckad-exam icon ckad-exam

Exercises get you ready for the Certified Kubernetes Application Developer exam

cloud-composer-examples icon cloud-composer-examples

This repo constains the following examples of using Cloud Composer, Google Cloud Platform's managed Apache Airflow service:

data-pipelines-with-airflow icon data-pipelines-with-airflow

In this project, we will orchestrate our Data Pipeline workflow using an open-source Apache project called Apache Airflow. We will schedule our ETL jobs in Airflow, create project related custom plugins and operators and automate the pipeline execution.

gke-logging-sinks-demo icon gke-logging-sinks-demo

This project describes the steps required to deploy a sample application to Kubernetes Engine that forwards log events to Stackdriver Logging. As a part of the exercise, you will create a Cloud Storage bucket and a BigQuery dataset for exporting log data.

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