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Vector Technologies for AI: Extending Your Existing Data Stack

Simon Späti

As AI applications multiply quickly, vector technologies have become a frontier that data engineers must explore. The essential questions to be answered are: When should you choose specialized vector solutions like Pinecone, Weaviate, or Qdrant over adding vector extensions to established databases like PostgreSQL or MySQL?

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Top 8 Interview Questions on Apache Sqoop

Analytics Vidhya

Introduction In this constantly growing technical era, big data is at its peak, with the need for a tool to import and export the data between RDBMS and Hadoop. Apache Sqoop stands for “SQL to Hadoop,” and is one such tool that transfers data between Hadoop(HIVE, HBASE, HDFS, etc.)

Hadoop 228
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Building Your Data Warehouse On Top Of PostgreSQL

Data Engineering Podcast

Summary There is a lot of attention on the database market and cloud data warehouses. While they provide a measure of convenience, they also require you to sacrifice a certain amount of control over your data. Firebolt is the fastest cloud data warehouse. Visit dataengineeringpodcast.com/firebolt to get started.

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How to do Change Data Capture (CDC), using Singer

Start Data Engineering

Introduction Why Change Data Capture Setup Prerequisites Source setup Destination setup Source, MySQL CDC, MySQL => PostgreSQL Pros and Cons Pros Cons Conclusion References Introduction Change data capture is a software design pattern used to track every change(update, insert, delete) to the data in a database.

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Taking A Tour Of PostgreSQL with Jonathan Katz - Episode 42

Data Engineering Podcast

Summary One of the longest running and most popular open source database projects is PostgreSQL. Because of its extensibility and a community focus on stability it has stayed relevant as the ecosystem of development environments and data requirements have changed and evolved over its lifetime.

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PostgreSQL vs. MySQL: 10 Key Differences 

Meltano

PostgreSQL and MySQL are among the most popular open-source relational database management systems (RDMS) worldwide. Both RDMS enable businesses to organize and interlink large amounts of data, allowing for effective data management. That’s because MySQL isn’t fully SQL-compliant, while PostgreSQL is.

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MySQL on Amazon RDS to PostgreSQL: 2 Easy Methods to Load Data

Hevo

Are you struggling to migrate your data from MySQL on Amazon RDS to PostgreSQL? One of the common challenges with Amazon RDS MySQL is its data analytical and scalability capabilities, particularly when dealing with large datasets and high-traffic workloads. You’re not alone.