AWS Machine Learning Blog

FEBRUARY 29, 2024

During this orchestration flow, an Azure Active Directory (AD) group for the data analytics team is provisioned with the AD group name corresponding to the domain name. In the pop-up window that opens, log in to Amazon Cognito with the user name (demo-user) and password you used earlier. All the values on this tab should be prefilled.

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DataRobot

JUNE 16, 2021

Additionally, we have recently announced a partnership and integration with Snowflake to expand deployment options by bringing models directly into the database. See It Live: Kubernetes Deployment on Azure. What’s the new page , you can find a demo video to see how it works. Request a Demo. It is available in Release 7.1.

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phData

AUGUST 29, 2023

A crucial component in this process is the schema migration tool, which automates the execution of code on a target database. Schemachange and other change management tools are great for automating database objects. Versioned Versioned files are change files that allow for incrementing changes in a database.

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The MLOps Blog

MAY 10, 2023

To ensure security and JSON/pickle benefits, you can save your model to a dedicated database. Next, you will see how you can save an ML model in a database. Storing ML models in a database There is also scope for you to save your ML models in relational databases PostgreSQL , MySQL , Oracle SQL , etc.

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IBM Journey to AI blog

AUGUST 3, 2023

It can “crawl” any repository or database when it is confirmed to or suspected of processing sensitive data, whether it is known or unknown to the enterprise. Guardium supports deployment on several cloud platforms, including Amazon AWS, Google, IBM Cloud, Microsoft Azure and Oracle OCI.

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IBM Journey to AI blog

JULY 5, 2023

Whether you use IBM Cloud, Amazon AWS, Google Cloud, Microsoft Azure or some combination of platforms, it’s essential to understand, evaluate and optimize what you spend on cloud operations. Cloud providers offer some tools, including Azure cost management, Google Cloud cost management and AWS cloud financial management tools.

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Snorkel AI

JULY 22, 2024

large language models are natively available as part of the Prompt Builder in Snorkel Flow: Here’s a quick demo of how easy it is to activate Meta Llama 405B in Snorkel Flow. models from their service of choice using Hugging Face, Together AI, Microsoft Azure ML, AWS SageMaker, and Google Vertex AI Model Garden. Book a demo today.

AI 52

AI Azure AI Data Scientist 52

Snorkel AI

JULY 23, 2024

models are natively available as part of the Prompt Builder in Snorkel Flow: Here’s a quick demo of how easy it is to activate Meta Llama 405B in Snorkel Flow. models from their service of choice using Hugging Face, Together AI, Microsoft Azure ML, AWS SageMaker, and Google Vertex AI Model Garden. Book a demo today.

AI 52

AI AI Azure Data Scientist 52

ODSC - Open Data Science

APRIL 3, 2023

Data Wrangling: Data Quality, ETL, Databases, Big Data The modern data analyst is expected to be able to source and retrieve their own data for analysis. Competence in data quality, databases, and ETL (Extract, Transform, Load) are essential. Cloud Services: Google Cloud Platform, AWS, Azure.

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The MLOps Blog

JUNE 27, 2023

Microsoft Azure ML Platform The Azure Machine Learning platform provides a collaborative workspace that supports various programming languages and frameworks. Dolt Dolt is an open-source relational database system built on Git. It is agnostic to model training workflows and will work with any model trained using any framework.

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phData

JULY 5, 2024

For enterprises, the value-add of applications built on top of large language models is realized when domain knowledge from internal databases and documents is incorporated to enhance a model’s ability to answer questions, generate content, and any other intended use cases.

AI 52

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ODSC - Open Data Science

MARCH 3, 2023

What are the Best Database Security Practices to Implement? Implementing these database security best practices can help keep your private data as secure as possible. Machine Learning Made Simple with Declarative Programming Tue, Mar 21, 2023 12:00 PM — 1:00 PM EDT Join this webinar and demo to learn about declarative ML systems, incl.

Machine Learning 52

Machine Learning Machine Learning Data Scientist Data Science 52

Snorkel AI

FEBRUARY 8, 2023

The platform accommodates data from a wide range of sources, including traditional relational databases, NoSQL databases, and data stored in cloud storage platforms such as Amazon S3 or Azure Blob Storage. To learn more about Snorkel Flow and see if it might serve your team, request a demo today.

Database 52

Database Azure Data Quality AI 52

Snorkel AI

FEBRUARY 8, 2023

The platform accommodates data from a wide range of sources, including traditional relational databases, NoSQL databases, and data stored in cloud storage platforms such as Amazon S3 or Azure Blob Storage. To learn more about Snorkel Flow and see if it might serve your team, request a demo today.

Database 52

Database Azure Data Quality AI 52

IBM Journey to AI blog

JANUARY 10, 2023

Background on the Netezza Performance Server capability demo. Netezza Performance Server (NPS) has recently added the ability to access Parquet files by defining a Parquet file as an external table in the database. Prerequisites for the demo. Figure 1 – NPS database table definitions. The data definition.

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ODSC - Open Data Science

OCTOBER 20, 2023

At the AI Expo and Demo Hall as part of ODSC West in a few weeks, you’ll have the opportunity to meet one-on-one with representatives from industry-leading organizations like Microsoft Azure, Hewlett Packard, Iguazio, neo4j, Tangent Works, Qwak, Cloudera, and others. LLMs in Data Analytics: Can They Match Human Precision?

AI 52

AI AI Data Science Machine Learning 52

DataRobot Blog

OCTOBER 4, 2022

You can also connect to Snowflake, Azure, Redshift and many other databases. Request a demo. Here, we will focus on how Time Series Clustering fits into the Segmented Modeling workflow using a simple yet highly relevant Multi-Series Sales Forecasting example. The Dataset. See DataRobot Automated Time Series in Action.

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Mlearning.ai

JANUARY 26, 2023

Presentations include demos of functionality and proposals for the future development work, primarily funded by the Horizon Europe programme. AWS , GCP , Azure , CreoDIAS , for example, are not open-source, nor are they “standard”. How can we all make environmental data more usable, accessible and more relevant?

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AWS Database Data Science Clean Data 98

phData

JANUARY 31, 2024

For a short demo on Snowpark, be sure to check out the video below. It makes sense for use cases where you’d like to take some sort of user input, run Python code in the background, and produce an output, for example, interacting with a machine learning model and writing model outputs to a database.

Machine Learning 52

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The MLOps Blog

OCTOBER 20, 2023

Reading & executing from.sql scripts We can use.sql files that are opened and executed from the notebook through a database connector library. connection_params: A dictionary containing PostgreSQL connection parameters, such as 'host', 'port', 'database', 'user', and 'password'.

SQL 52

SQL Database Data Scientist Python 52

ODSC - Open Data Science

JANUARY 3, 2025

Finally, Week 4 ties it all together, guiding participants through the practical builder demos from cloning compound AI architectures to building production-ready applications. These hands-on demo workshops and live demonstrations show attendees how to use cutting-edge tools to create impactful AI applications in real-time.

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O'Reilly Media

NOVEMBER 28, 2023

If we asked whether their companies were using databases or web servers, no doubt 100% of the respondents would have said “yes.” And there are tools for archiving and indexing prompts for reuse, vector databases for retrieving documents that an AI can use to answer a question, and much more.

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phData

JANUARY 15, 2025

This is particularly useful for organizations already having PII data encrypted by a passkey in other data systems like legacy databases and object stores like AWS S3. However, AWS Lambda, GCP Function, and Azure Functions allow us to write our custom tokenization code and use it in Snowflake.

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AWS Data Governance Azure SQL 52

Mlearning.ai

JUNE 16, 2023

How to use the Codex models to work with code - Azure OpenAI Service Codex is the model powering Github Copilot. There is a VSCode Extension that enables its integration into traditional development pipelines. The StarCoder Chat provides a conversational experience about programming related topics.

AI 52

AI AI Data Analysis Data Analysis 52

phData

JULY 2, 2024

conda activate snowflake-demo ). Validating the Deployment in Snowflake Existence – The newly created Python UDF should be present under the Analytics schema under the HOL_DB database. Create conda environment ( conda env create -f environment.yml ). You should find environment.yml already present inside the root folder.

Python 52

Python SQL Data Pipeline ML 52

phData

NOVEMBER 13, 2023

Sidebar Navigation: Provides a catalog sidebar for browsing resources by type, package, file tree, or database schema, reflecting the structure of both dbt projects and the data platform. Deploy jobs are designed to build into production databases, running sequentially to prevent conflicts. What are the four principles of data mesh?

Database 52

Database Business Intelligence Business Intelligence Data Silos 52

Pickl AI

APRIL 26, 2024

SQL stands for Structured Query Language, essential for querying and manipulating data stored in relational databases. The SELECT statement retrieves data from a database, while SELECT DISTINCT eliminates duplicate rows from the result set. Have you worked with cloud-based data platforms like AWS, Google Cloud, or Azure?

Data Analyst 52

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The MLOps Blog

MARCH 21, 2023

We ask this during product demos, user and support calls, and on our MLOps LIVE podcast. The job reads features, generates predictions, and writes them to a database. The client queries and reads the predictions from the database when needed. Why are you building an ML platform?

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Machine Learning Machine Learning Data Scientist ML 69

The MLOps Blog

DECEMBER 29, 2022

You register it as a long-term thing in a database. How do you look at an On-Premises GPU cluster, managed by NVIDIA AI enterprise software suite in combination with Red Hat OpenShift or VMware Tanzu, over something like AWS stack or Azure stack for the same GPU cluster managed by EKS, for example? Kyle: I want to make sure I get this.

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ML ML Machine Learning Machine Learning 52

Dataconomy

APRIL 25, 2023

🌵 ♬ use this audio if im the best editor oat – alpine Wolfram Alpha : Wolfram Alpha is a computational knowledge engine that can answer any question or query using its vast database of facts and algorithms. But first, you need to run the Visual ChatGPT demo, and here is how to do it.

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phData

OCTOBER 29, 2024

You should have at least Contributor access to the workspace Download SQL Server Management Studio Step-by-Step Guide for Refreshing a Single Table in Power BI Semantic Model Using a demo data model, let’s walk through how to refresh a single table in a Power BI semantic model. A window will open.

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