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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 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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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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Cloud-native Data Ingestion with AWS Aurora and Delta Lake

Scribd Technology

In a recent session with the Delta Lake project I was able to share the work led Kuntal Basu and a number of other people to dramatically improve the efficiency and reliability of our online data ingestion pipeline. as they take you behind the scenes of Scribds data ingestion setup.

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Data Ingestion with Glue and Snowpark

Cloudyard

Snowflake Output Happy 0 0 % Sad 0 0 % Excited 0 0 % Sleepy 0 0 % Angry 0 0 % Surprise 0 0 % The post Data Ingestion with Glue and Snowpark appeared first on Cloudyard. Technical Implementation: GLUE Job.

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Data Ingestion vs Data Integration: What Is the Right Approach for Your Business

Hevo

Organizations generate tons of data every second, yet 80% of enterprise data remains unstructured and unleveraged (Unstructured Data). Organizations need data ingestion and integration to realize the complete value of their data assets.

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Data Ingestion vs Data Integration: What Is the Right Approach for Your Business

Hevo

Organizations generate tons of data every second, yet 80% of enterprise data remains unstructured and unleveraged (Unstructured Data). Organizations need data ingestion and integration to realize the complete value of their data assets.