Alation

APRIL 4, 2023

Now in Alation 2023.1 , with the expanded connector to Databricks Unity Catalog, joint customers can sample and profile lakehouse data in Alation, as well as compose queries on lakehouse data from Alation. This expanded connector to Databricks Unity Catalog does just that, delivering to joint customers a comprehensive view of all cloud data.

DataOps 52

DataOps Data Engineering Data Engineer Data Engineering 52

AWS Machine Learning Blog

JANUARY 5, 2024

Integrating multiple tool stacks to build a compact solution might involve building custom connectors or workflows. The AWS portfolio of ML services includes a robust set of services that you can use to accelerate the development, training, and deployment of machine learning applications.

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AWS Machine Learning Blog

MARCH 8, 2023

With SageMaker, data scientists and developers can quickly and easily build and train ML models, and then directly deploy them into a production-ready hosted environment. 1 with the following additions: The Snowflake Connector for Python to download the data from the Snowflake table to the training instance. FROM 246618743249.dkr.ecr.us-west-2.amazonaws.com/sagemaker-xgboost:1.5-1

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ML ML AWS Python 98

AWS Machine Learning Blog

FEBRUARY 28, 2024

Athena also allows us to use a multitude of supported endpoints and connectors to cover a large set of data sources. Set up the SDK for Python (Boto3). Athena has an S3 connector that allows you to use Amazon S3 as a data source that can be queried. You can consider a connector as an extension of the Athena query engine.

SQL 106

SQL AWS Database ML 106

Flipboard

AUGUST 17, 2023

Many practitioners are extending these Redshift datasets at scale for machine learning (ML) using Amazon SageMaker , a fully managed ML service, with requirements to develop features offline in a code way or low-code/no-code way, store featured data from Amazon Redshift, and make this happen at scale in a production environment.

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AWS Machine Learning Blog

MAY 5, 2023

These results can also be stored across different repositories because the search service employs built-in connectors. Therefore, you can easily build an intelligent search service with minimal development costs. However, these diagrams must originate from credible sources such as AWS Blog and AWS Prescriptive Guidance.

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AWS ETL ML ML 100

phData

MARCH 7, 2023

Oracle developed a tool to address this challenge and its called GoldenGate. Prerequisites In this blog, we focus on ingesting data into the Snowflake Data Cloud with GoldenGate and so we will pick up the replication process within GoldenGate. From this stage, GoldenGate runs a merge statement to replicate data into Snowflake. #The

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Hadoop Database Data Warehouse AWS 59

AWS Machine Learning Blog

MAY 3, 2023

Generative AI (GenAI) and large language models (LLMs), such as those available soon via Amazon Bedrock and Amazon Titan are transforming the way developers and enterprises are able to solve traditionally complex challenges related to natural language processing and understanding. The LLM is hosted on a SageMaker endpoint.

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AWS Machine Learning Blog

SEPTEMBER 28, 2023

By using AWS generative AI services, the team has developed a system that can ingest and comprehend massive amounts of unstructured enterprise content. This post provides an overview of an end-to-end generative AI solution developed by Accenture for a production use case using Amazon Bedrock and other AWS services.

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AWS Machine Learning Blog

FEBRUARY 19, 2024

An asynchronous API and Amazon OpenSearch Service connector make it easy to integrate the model into your neural search applications. In this post, we walk through how to use the Titan Image Generator and Titan Multimodal Embeddings models via the AWS Python SDK. For Python scripts, you can use the AWS SDK for Python (Boto3).

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AWS Machine Learning Blog

FEBRUARY 6, 2023

This blog post is co-written with Bruno Mateus, Jonathan Diedrich and Crispim Tribuna at Talkdesk. Talkdesk developed a connector that allows AI Trainer to automatically collect intent data from Amazon Lex intent models. The connector was built by using the Amazon Lex Model Building API with the AWS SDK for Java 2.x.

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phData

FEBRUARY 24, 2023

Data must be available at the right moment for consumption and it might not be the easiest task to develop a strategy around the continuous pipelines and the integrated applications to set up your stack. It provides a programming alternative to developing applications in Java or C/C++ using the Snowflake JDBC or ODBC drivers.

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Analytics Analytics Database Python 52

AWS Machine Learning Blog

NOVEMBER 30, 2023

And global services and solutions providers like Accenture are reaping the benefits of customized generative AI applications as they empower their in-house developers with Amazon CodeWhisperer. adidas is enabling developers to get quick answers on everything from “getting started” info to deeper technical questions.

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AWS Machine Learning Blog

SEPTEMBER 19, 2023

For structured data, the agent uses the SQL Connector and SQLAlchemy to analyze databases, which includes Amazon Athena. The agent also utilizes Python in Lambda and the Amazon SageMaker SDK for computations and quantitative modeling. WWW: $85.91 DDD: $9.82

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