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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? If you skip one of these steps, performance might be poor due to network overhead, or you might run into distributed SQL limitations.

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Inside the release: Tableau 2022.1 for analysts and business users

Tableau

With the enhancements to View Data, you can remove and add fields as well as adjust the number of rows to cover the breadth and depth that your analysis needs. Once you have achieved your desired data configuration, you can download the data as a CSV in your customized layout. . Easily swap root tables in your data model.

Tableau 98
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Inside the release: Tableau 2022.1 for analysts and business users

Tableau

With the enhancements to View Data, you can remove and add fields as well as adjust the number of rows to cover the breadth and depth that your analysis needs. Once you have achieved your desired data configuration, you can download the data as a CSV in your customized layout. . Easily swap root tables in your data model.

Tableau 98
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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 Optimize Power BI and Snowflake for Advanced Analytics

phData

Just click this button and fill out the form to download it. The June 2021 release of Power BI Desktop introduced Custom SQL queries to Snowflake in DirectQuery mode. In 2021, Microsoft enabled Custom SQL queries to be run to Snowflake in DirectQuery mode further enhancing the connection capabilities between the platforms.

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MLOps Without Magic

Mlearning.ai

MLOps cover all of the rest, how to track your experiments, how to share your work, how to version your models etc (Full list in the previous post. ). Also same expertise rule applies for an ML engineer, the more versed you are in MLOps the better you can foresee issues, fix data/model bugs and be a valued team member.

ML 52
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How to Use a dbt Package in Your Project

phData

You can also transform Facebook Ads or AdWords spend data into a consistent format and keep the data segregated. You can generate SQL code to unite two relations and create surrogate keys or pivot columns. Use it to download various dbt packages into your own dbt project. Use it to reference a private package.

SQL 52