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snowflake

Share Snowflake Cortex AI fine-tuned LLMs from Meta and Mistral AI

Nov 25, 2024 By Sanjay Srivastava In Snowflake
The rise of generative AI models are spurring organizations to incorporate AI and large language models (LLMs) into their business strategy. After all, these models open up new opportunities to extract greater value from a company’s data and IP and make it accessible to a wider audience across the organization. One key to successfully leveraging gen AI models is the ability to share data.
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confluent

Seamlessly Connect IoT Data Streams: Integrating Confluent Cloud with AWS IoT Core

Nov 20, 2024 By Braeden Quirante In Confluent
Raw data from IoT devices, like GPS trackers or electronic logging devices (ELDs), often lacks meaning on its own. However, if combined with information from other business systems, such as inventory management or customer relationship management (CRM), this data can now provide a richer, more complete picture for more effective decision-making. For example, combining GPS data with inventory levels can optimize logistics and delivery routes.
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snowflake

9 Best Practices for Transitioning From On-Premises to Cloud with Snowflake

Nov 19, 2024 By Yogesh Gupta In Snowflake
On a day-to-day basis, Snowflake teams identify opportunities and help customers implement recommended best practices that ease the migration process from on-premises to the cloud. They also monitor potential challenges and advise on proven patterns to help ensure a successful data migration. This article highlights nine key areas to watch out for and plan around in order to accelerate a smooth transition to the cloud.
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unravel

BigQuery Cost Management

Nov 6, 2024 By Unravel Data In Unravel
Effective cost management becomes crucial as organizations increasingly rely on Google BigQuery for their data warehousing and analytics needs. This checklist delves into the intricacies of cost management and FinOps for BigQuery, exploring strategies to inform, govern, and optimize usage while taking a holistic approach that considers queries, datasets, infrastructure, and more.
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speedscale

Simplifying AWS Testing: A Guide to AWS SDK Mock

Oct 17, 2024 By Shaun Duncan In Speedscale
Testing AWS services is an essential step in creating robust cloud applications. However, directly interacting with AWS during testing can be complicated, time-consuming, and expensive. The AWS SDK Mock is a JavaScript library designed to simplify this process by allowing developers to mock AWS SDK methods, making it easier to simulate AWS service interactions in a controlled environment. Primarily used with AWS SDK v2, AWS SDK Mock integrates with Sinon.js to mock AWS services like S3, SNS, and DynamoDB.
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kong

RAG Application with Kong AI Gateway, AWS Bedrock, Redis and LangChain

Oct 17, 2024 By Claudio Acquaviva In Kong
For the last couple of years, Retrieval-Augmented Generation (RAG) architectures have become a rising trend for AI-based applications. Generally speaking, RAG offers a solution to some of the limitations in traditional generative AI models, such as accuracy and hallucinations, allowing companies to create more contextually relevant AI applications.
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Episode 11: The future of data lakes: Open table formats, metadata and AI | AWS

Oct 17, 2024 By Fivetran In Fivetran
Paul Meighan, Director of Product Management at AWS, shares how enterprises are increasingly looking for ways to integrate more data sources in their environment — especially with data lakes. From turning S3 buckets into databases to establishing better metadata layers, Meighan explores the rapid evolution of data lakes alongside data warehouses. He also explains the pivotal role AI, ML and GenAI workloads and applications will play in large metadata environments, driving innovative analytics and business insights.
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moesif

Using Moesif with Middy and Serverless for AWS Apps

Oct 15, 2024 By Abu Sakib In Moesif
See the GitHub repository for the source code of this article’s example project. Serverless is a popular framework to build serverless apps using AWS Lambda on the Node.js runtime. Serverless automatically orchestrates necessary resources on AWS and can scaffold a basic project for you that you can build up on. You can solely focus on your application’s core logic, development, and your Lambda functions.
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chaossearch

Optimize Your AWS Data Lake with Streamsets Data Pipelines and ChaosSearch

Oct 11, 2024 By Sandro Lima In ChaosSearch
Many enterprises face significant challenges when it comes to building data pipelines in AWS, particularly around data ingestion. As data from diverse sources continues to grow exponentially, managing and processing it efficiently in AWS is critical. Without these capabilities, it’s harder to analyze and get any meaning from your data.
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