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How to Optimize Power BI and Snowflake for Advanced Analytics

phData

Just click this button and fill out the form to download it. One big issue that contributes to this resistance is that although Snowflake is a great cloud data warehousing platform, Microsoft has a data warehousing tool of its own called Synapse. Want to Save This Guide for Later? No problem!

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Citus 12: Schema-based sharding for PostgreSQL

Hacker News

What if you could automatically shard your PostgreSQL database across any number of servers and get industry-leading performance at scale without any special data modelling steps? Schema-based sharding has almost no data modelling restrictions or special steps compared to unsharded PostgreSQL.

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Best 8 Data Version Control Tools for Machine Learning 2024

DagsHub

In addition to versioning code, teams can also version data, models, experiments and more. Released in 2022, DagsHub’s Direct Data Access (DDA for short) allows Data Scientists and Machine Learning engineers to stream files from DagsHub repository without needing to download them to their local environment ahead of time.

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How to Use a dbt Package in Your Project

phData

Use it to download various dbt packages into your own dbt project. FAQs What are dbt models? A dbt model is how you want to create a table or view in your data model. You can use the SQL Select statement to write a model. A dbt python model is a model that uses the Python language and is defined using the.py

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

SageMaker Studio offers built-in algorithms, automated model tuning, and seamless integration with AWS services, making it a powerful platform for developing and deploying machine learning solutions at scale. Model versioning, lineage, and packaging : Can you version and reproduce models and experiments?

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How to Manage Unstructured Data in AI and Machine Learning Projects

DagsHub

NoSQL Databases NoSQL databases do not follow the traditional relational database structure, which makes them ideal for storing unstructured data. They allow flexible data models such as document, key-value, and wide-column formats, which are well-suited for large-scale data management.

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The Ultimate Modern Data Stack Migration Guide

phData

Advanced Analytics: Snowflake’s platform is purposefully engineered to cater to the demands of machine learning and AI-driven data science applications in a cost-effective manner. Enterprises can effortlessly prepare data and construct ML models without the burden of complex integrations while maintaining the highest level of security.