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Data Migration Strategies For Large Scale Systems

Data Engineering Podcast

Summary Any software system that survives long enough will require some form of migration or evolution. When that system is responsible for the data layer the process becomes more challenging. Sriram Panyam has been involved in several projects that required migration of large volumes of data in high traffic environments.

Systems 130
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Microsoft’s Drasi: An Open-Source Tool for Efficient Change Management Systems

Analytics Vidhya

Introduction Today, data systems evolve quickly, demanding efficient monitoring and response. Real-time change detection is essential to keeping systems stable, preventing failures, and ensuring business continuity.

Systems 171
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Designing Data Transfer Systems That Scale

Data Engineering Podcast

Summary The first step of data pipelines is to move the data to a place where you can process and prepare it for its eventual purpose. Data transfer systems are a critical component of data enablement, and building them to support large volumes of information is a complex endeavor. With Materialize, you can!

Systems 130
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Why Open Table Format Architecture is Essential for Modern Data Systems

phData: Data Engineering

The world we live in today presents larger datasets, more complex data, and diverse needs, all of which call for efficient, scalable data systems. Open Table Format (OTF) architecture now provides a solution for efficient data storage, management, and processing while ensuring compatibility across different platforms.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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How to Build and Monitor Systems Using Airflow?

Analytics Vidhya

Imagine scheduling your ML tasks to run automatically without the need for manual […] The post How to Build and Monitor Systems Using Airflow? Airflow can help you manage your workflow and make your life easier with its monitoring and notifications features. appeared first on Analytics Vidhya.

Systems 214
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Backpressure in the data systems

Waitingforcode

Having a scalable architecture is the nowadays must but sometimes it may not be enough to provide consistent performance. Sometimes the business requirements, such as consistent delivery time or ordered delivery, can add some additional overhead. Consequently, scalability may not suffice.

Systems 130
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Entity Resolution: Your Guide to Deciding Whether to Build It or Buy It

Adding high-quality entity resolution capabilities to enterprise applications, services, data fabrics or data pipelines can be daunting and expensive. This will help you decide whether to build an in-house entity resolution system or utilize an existing solution like the Senzing® API for entity resolution.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. When developing a Gen AI application, one of the most significant challenges is improving accuracy.