Sun.Aug 04, 2024

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Neo4j vs. Amazon Neptune: Graph Databases in Data Engineering

Analytics Vidhya

Introduction Managing complicated, interrelated information is more important than ever in today’s data-driven society. Traditional databases, while still valuable, often falter when it comes to handling highly connected data. Enter the unsung heroes of the data world: graph databases. These powerful tools are designed to manage and query intricate data relationships effortlessly.

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Data Engineering Weekly #183

Data Engineering Weekly

Try Fully Managed Apache Airflow for FREE Run Airflow without the hassle and management complexity. Take Astro (the fully managed Airflow solution) for a test drive today and unlock a suite of features designed to simplify, optimize, and scale your data pipelines. For a limited time, new sign-ups will receive a complimentary Airflow Fundamentals Certification exam (normally $150).

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Azure Data Factory ETL Tutorial: Step-by-Step Guide

Hevo

With the increase in data size and the diversity of data sources and destinations, companies and data teams are always on the lookout for tools that can simplify creating and managing data workflows. Many of these teams target cloud services because of their simplicity, low cost, and ability to scale and process terabytes of data.

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AWS DMS CDC Oracle: Configuration, Limitations, and Alternatives

Hevo

In today’s fast-paced data landscape, real-time data replication and synchronization are critical for maintaining operational efficiency and making timely decisions. AWS Database Migration Service (DMS) offers a comprehensive database migration and replication solution, including support for Change Data Capture (CDC).

AWS 52
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Apache Airflow® 101 Essential Tips for Beginners

Apache Airflow® is the open-source standard to manage workflows as code. It is a versatile tool used in companies across the world from agile startups to tech giants to flagship enterprises across all industries. Due to its widespread adoption, Airflow knowledge is paramount to success in the field of data engineering.