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10 AWS Redshift Project Ideas to Build Data Pipelines

ProjectPro

Since Amazon Redshift is based on the industry standard PostgreSQL, several SQL client applications work with minimum changes. You will first need to download Redshift’s ODBC driver from the official AWS website. After downloading and installing the ODBC driver: Set up the DSN connection for Redshift.

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Apache Airflow for Beginners - Build Your First Data Pipeline

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mkdir airflow-docker Inside the folder, download the docker-compose file already made for us by the Airflow Community. You can therefore experiment with a data lake pipeline DAG that authors, monitors, and schedules the capturing, storage, and processing of raw data using Python and PostgreSQL. Is Airflow an ETL Tool?

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Top Confluent Alternatives for Real-Time Data Streaming

Striim

For a deeper dive into modern data integration, download the eBook: How to Choose the Right CDC Solution. Pros and Cons Pros: Multi-cloud portability, fully managed service, and bundles other tools like PostgreSQL and OpenSearch. Many key Confluent connectors are gated behind premium tiers or require manual setup.

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The A-Z Guide to Understanding What is Data Migration

ProjectPro

Migrate PostgreSQL databases to Azure Businesses often use PostgreSQL for several of their big data activities. They can migrate the database to a PostgreSQL instance of Azure Database using the Azure Database Migration Service. These backups take place in the secondary server without affecting the primary servers.

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AWS Glue-Unleashing the Power of Serverless ETL Effortlessly

ProjectPro

Furthermore, Glue supports databases hosted on Amazon Elastic Compute Cloud (EC2) instances on an Amazon Virtual Private Cloud, including MySQL, Oracle, Microsoft SQL Server, and PostgreSQL. You can download the dataset in two formats: TAV (Tab-separated values)/ Parquet (an optimized columnar binary format). Why Use AWS Glue?

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How to Use LangSmith with HuggingFace Models?

ProjectPro

It uses ClickHouse for storing high-volume traces and feedback, PostgreSQL for transactional and operational data, and Redis for fast caching and queuing via in-memory storage. Besides these, LangSmith bundles all storage services by default but supports external setups, recommended for production.

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30+ Data Engineering Projects for Beginners in 2025

ProjectPro

Create a service account on GCP and download Google Cloud SDK(Software developer kit). Then, Python software and all other dependencies are downloaded and connected to the GCP account for other processes. The most recent CSV file in the S3 bucket is then downloaded and ingested into the Postgres data warehouse.