Terraform module which creates Amazon Machine Images (AMI) for Camellia using HashiCorp Packer and AWS CodeBuild.
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Updated
Mar 1, 2022 - HCL
Terraform module which creates Amazon Machine Images (AMI) for Camellia using HashiCorp Packer and AWS CodeBuild.
E2E data pipeline showcasing Spark's capabilities on Cloud and Edge
Instructions, code snippets, and more for the Devnexus 2023 Building Streaming Data Pipelines workshop.
Миграция базы данных из стороннего кластера Apache Kafka® в Yandex Managed Service for Apache Kafka®.
Поставка данных из очереди Apache Kafka® в ClickHouse® с помощью Yandex Data Transfer.
Захват изменений из YDB и поставка в Apache Kafka® с помощью Yandex Data Transfer.
Поставка данных из очереди Apache Kafka® в Elasticsearch с помощью Yandex Data Transfer.
Поставка данных из очереди Apache Kafka® в Greenplum® с помощью Yandex Data Transfer.
Creating an Apache Kafka cluster with ZooKeeper, configured via Ansible to install dependencies
This project demonstrates how to ensure data security and compliance with industry regulations. This includes the use of GCP IAM for access control, GCP KMS for data encryption, GCP SCC for sensitive data discovery and classification, and GCP Audit Logs for logging and auditing.
Зеркалирование кластеров Apache Kafka® c помощью Yandex Data Transfer.
Terraform module which creates a cluster of Apache Kafka brokers along with Yahoo CMAK and LinkedIn Cruise Control.
Toy data platform for a company that provides web analytics
Поставка данных из очереди Apache Kafka® в OpenSearch с помощью Yandex Data Transfer.
Получение данных из Yandex Managed Service for Apache Kafka® в Yandex Managed Service for ClickHouse®.
Поставка данных из очереди Apache Kafka® в PostgreSQL с помощью Yandex Data Transfer.
Поставка данных из очереди Apache Kafka® в MySQL с помощью Yandex Data Transfer.
Поставка данных из очереди Apache Kafka® в YDB с помощью Yandex Data Transfer.
This project focuses on maintaining data quality and consistency across different data sources. This project features Google Cloud Dataflow for data cataloging, Apache Airflow for ETL, Google Cloud Data Catalog for visual data preparation, and Snowflake for high-quality data storage and analysis.
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