Remove plug-and-play-financial-dashboard
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Snowflake’s AWS re:Invent Highlights for Fast-Tracking ML, Gen AI and Application Innovations 

Snowflake

By integrating Snowflake with LLMs from external services like Amazon Bedrock, developers can choose from a wide array of LLMs to plug-and-play based on their specific use cases. Engaging with partners and customers — and showcasing what’s new on the Snowflake product front — made for a dynamic time in Las Vegas.

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What is Project Planning? Steps, Process, Importance, Tools

Knowledge Hut

Project planning is quintessential to the project and projects that are not planned well result in unwanted overheads or at times sunk costs which result in pressures on the execution of the project and often escalate situations out of control for the project manager. What is Project Planning in Project Management?

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Why Your Data Incident Management Process Is Broken…And 5 Steps to Fix It.

Monte Carlo

Whether it’s an unexpected change to the data, a shift in SQL logic, a runtime error, or some other nefarious gremlin in your pipeline, how you manage data quality incidents plays a critical role in both the reliability of your data and—more importantly—the value of it. Ad hoc data incident management is totally reasonable on a small scale.

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Use SurrealDB to Persist Data with Rocket REST API

Workfall

Their ultimate goal is for the stored data to be easily retrievable, updated, queried, and generally administered via a graphical user interface (GUI), dashboard, or even command line interface (CLI). This means it can function as a single, plug-and-play database server. In this blog, we’ll explore: What is SurrealDB?

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How to Build a 5-Layer Data Stack

Monte Carlo

Here’s what data leaders say are the 5 must-have layers of your data platform to drive data adoption – and ROI – across your business. Like bean dip and ogres , layers are the building blocks of the modern data stack. Unlike ogres, however, the cloud data platform isn’t a fairy tale. Let’s dive into it. The content, not the bean dip.

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How to Build a 5-Layer Modern Data Stack (with Example Tools)

Monte Carlo

Here’s what data leaders say are the 5 must-have layers of your data platform to drive data adoption – and ROI – across your business. Like bean dip and ogres , layers are the building blocks of the modern data stack. Unlike ogres, however, the cloud data platform isn’t a fairy tale. Let’s dive into it. The content, not the bean dip.

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How to Build a 5-Layer Data Stack

Towards Data Science

Like bean dip and ogres , layers are the building blocks of the modern data stack. Its powerful selection of tooling components combine to create a single synchronized and extensible data platform with each layer serving a unique function of the data pipeline. Unlike ogres, however, the cloud data platform isn’t a fairy tale. Let’s dive into it.