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Data Ingestion-The Key to a Successful Data Engineering Project

ProjectPro

The first step in any data engineering project is a successful data ingestion strategy. Ingesting high-quality data is extremely important because all machine learning models and analytics are limited by the quality of data ingested. Data Ingestion vs. ETL - How are they different?

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A Data Engineer’s Guide To Real-time Data Ingestion

ProjectPro

Navigating the complexities of data engineering can be daunting, often leaving data engineers grappling with real-time data ingestion challenges. Our comprehensive guide will explore the real-time data ingestion process, enabling you to overcome these hurdles and transform your data into actionable insights.

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How I Optimized Large-Scale Data Ingestion

databricks

Explore being a PM intern at a technical powerhouse like Databricks, learning how to advance data ingestion tools to drive efficiency.

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Data ingestion pipeline with Operation Management

Netflix Tech

Data ingestion pipeline with Operation Management was originally published in Netflix TechBlog on Medium, where people are continuing the conversation by highlighting and responding to this story. For example, they can store the annotations in a blob storage like S3 and give us a link to the file as part of the single API.

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Go vs. Python for Modern Data Workflows: Need Help Deciding?

KDnuggets

Performance and Concurrency Goroutines allow you to process multiple data streams simultaneously without the complexity typically associated with thread management. This concurrency model becomes particularly valuable when building data ingestion systems. Performance differences become noticeable as your systems scale.

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Data Ingestion with Pandas: A Beginner Tutorial

KDnuggets

Learn tricks on importing various data formats using Pandas with a few lines of code. We will be learning to import SQL databases, Excel sheets, HTML tables, CSV, and JSON files with examples.

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Lakeflow Connect: Efficient and Easy Data Ingestion using the SQL Server connector

databricks

Complexities of Extracting SQL Server Data While digital native companies recognize AI's critical role in driving innovation, many still face challenges in making their data