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Data Engineering in Retrospect: Key Trends and Patterns of 2023

Data Engineering Weekly

It’s the end of the year, and there will be a lot of buzz about what the next five years in data engineering might bring. source: Meta - The future of the data engineer Companies are at various stages of this model, which means certain patterns and predictions may align with your organization's maturity level while others might not.

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Updates, Inserts, Deletes: Comparing Elasticsearch and Rockset for Real-Time Data Ingest

Rockset

Introduction Managing streaming data from a source system, like PostgreSQL, MongoDB or DynamoDB, into a downstream system for real-time analytics is a challenge for many teams. For a system like Elasticsearch , engineers need to have in-depth knowledge of the underlying architecture in order to efficiently ingest streaming data.