phData

OCTOBER 28, 2024

Understanding Matillion and Snowflake, the Python Component, and Why it is Used Matillion is a SaaS-based data integration platform that can be hosted in AWS, Azure, or GCP and supports multiple cloud data warehouses. After this, we can use the Matillion SQL component to run the memory processing logic as SQL or Stored procedure in Snowflake.

Python 52

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Data Science Dojo

OCTOBER 10, 2023

Representatives from Google AI, Amazon Web Services, Microsoft Azure, and other top firms attended the event as main speakers. The next event is scheduled for AUGUST 12-14, 2024, in MGM GRAND, LAS VEGAS. The next event is scheduled for 10-12 September 2024 in Signia by Hilton, San Jose. Link to event -> Live!

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ODSC - Open Data Science

JANUARY 18, 2024

EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI. Learn more about the cloud.

Data Engineer 52

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DagsHub

APRIL 21, 2024

Best MLOps Tools & Platforms for 2024 In this section, you will learn about the top MLOps tools and platforms that are commonly used across organizations for managing machine learning pipelines. Data storage and versioning Some of the most popular data storage and versioning tools are Git and DVC.

Machine Learning 59

Machine Learning Machine Learning ML ML 59

phData

JUNE 3, 2024

Taking it one step further, if you don’t want your data traversing the public internet, you can implement one of the private connections available from the cloud provider your Snowflake account is created on, i.e., Azure Private Link, AWS Privatelink, or Google Cloud Service Private Connect. Snowflake has you covered with Cortex.

Machine Learning 52

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DagsHub

DECEMBER 11, 2023

Best data version control tools for 2024 Now that you have a clear understanding of the expectations of the blog, let’s explore each one of them, starting with DagsHub. Dolt Created in 2019, Dolt is an open-source tool for managing SQL databases that uses version control similar to Git.

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Pickl AI

JUNE 7, 2024

Also Read: Top 10 Data Science tools for 2024. Microsoft SQL Server Integration Services (SSIS) Microsoft SQL Server Integration Services (SSIS) is an enterprise-level platform for data integration and transformation. Read More: Advanced SQL Tips and Tricks for Data Analysts. How to drop a database in SQL server?

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ODSC - Open Data Science

OCTOBER 12, 2024

This includes tasks ranging from creating a cleaning pipeline in Jupyter Notebooks, SQL stored procedures, or Python functions. GitHub Copilot can be used in environments like Visual Studio Code, JetBrains IDEs, or Azure Data Studio to significantly reduce coding time. One such AI tool is GitHub Copilot. What should you be looking for?

AI 52

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phData

DECEMBER 4, 2023

This blog was originally written by Erik Hyrkas and updated for 2024 by Justin Delisi This isn’t meant to be a technical how-to guide — most of those details are readily available via a quick Google search — but rather an opinionated review of key processes and potential approaches. And once again, for loading data, do not use SQL Inserts.

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Towards AI

APRIL 30, 2024

Last Updated on May 1, 2024 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. Trained for under $2 million, Arctic excels in tasks like SQL generation and coding. It’s fully open-source under Apache 2.0, providing free access to model weights and code.

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phData

JUNE 25, 2024

Snowflake Summit 2024 launched numerous features and enhancements targeted at data scientists’ workflows and developer experience. sliders and inputs) and support for multiple languages (SQL, Python). Snowpark Container Services is GA Snowpark Container Services (SPCS) is now Generally Available on AWS (and soon on Azure).

Data Scientist 52

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phData

NOVEMBER 13, 2023

Streamlined Metric Creation and Management: With MetricFlow, you can easily establish and oversee company metrics through flexible abstractions and SQL query generation. Efficient Data Retrieval: Quick access to metric datasets from your data platform is made possible by MetricFlow’s optimized processes.

Database 52

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