Analytics Vidhya

NOVEMBER 23, 2022

Source: [link] Introduction The AWS Command Line Interface (CLI) is a centralized management tool for managing AWS services. With this one tool, it can handle multiple AWS services from the […]. The post Creating and Managing DynamoDB Tables using AWS CLI appeared first on Analytics Vidhya.

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Analytics Vidhya

APRIL 21, 2023

Introduction Amazon-backed DynamoDB is a type of NoSQL database that offers exciting features like quick and highly predictable performance, high reliability over data, and seamless scalability. With the help of AWS DynamoDB, we can entrust the admin tasks associated with the distributed databases running and scaling.

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Analytics Vidhya

APRIL 25, 2022

Introduction Amazon’s Redshift Database is a cloud-based large data warehousing solution. The post AWS Redshift: Cloud Data Warehouse Service appeared first on Analytics Vidhya. The datasets range in size from a few 100 megabytes to a petabyte. […].

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AWS Machine Learning Blog

APRIL 3, 2025

Every year, AWS Sales personnel draft in-depth, forward looking strategy documents for established AWS customers. These documents help the AWS Sales team to align with our customer growth strategy and to collaborate with the entire sales team on long-term growth ideas for AWS customers.

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Analytics Vidhya

AUGUST 25, 2022

The post Using AWS Athena and QuickSight for Data Analysis appeared first on Analytics Vidhya. Also, have you ever tried doing this with Athena and QuickSight? This blog post will walk you through the necessary steps to achieve this using Amazon services and tools. Amazon’s perfect combination of […].

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AWS Machine Learning Blog

DECEMBER 11, 2024

Earlier this year, we published the first in a series of posts about how AWS is transforming our seller and customer journeys using generative AI. Field Advisor serves four primary use cases: AWS-specific knowledge search With Amazon Q Business, weve made internal data sources as well as public AWS content available in Field Advisors index.

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AWS Machine Learning Blog

NOVEMBER 13, 2024

It works by analyzing the visual content to find similar images in its database. Store embeddings : Ingest the generated embeddings into an OpenSearch Serverless vector index, which serves as the vector database for the solution. The AWS Command Line Interface (AWS CLI) installed on your machine to upload the dataset to Amazon S3.

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Analytics Vidhya

JANUARY 19, 2024

Introduction In the cloud industry, various providers like AWS, GCP, and Azure offer a range of services. Currently, AWS stands out as the most popular, with one of its key services being the AWS Load Balancer. This service efficiently manages traffic across different regions.

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Analytics Vidhya

DECEMBER 6, 2023

Introduction In the digital age, databases are the backbone of any business. Choosing the right database can significantly impact a business’s efficiency, scalability, and profitability. They store, organize, and manage vast amounts of data that drive business operations and decision-making.

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Flipboard

DECEMBER 1, 2024

AWS DMS Schema Conversion converts up to 90% of your schema to accelerate your database migrations and reduce manual effort with the power of generative AI.

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AWS Machine Learning Blog

NOVEMBER 7, 2024

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. You can use AWS services such as Application Load Balancer to implement this approach. Alternatively, you can use Amazon DynamoDB , a serverless, fully managed NoSQL database, to store your prompts.

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AWS Machine Learning Blog

JANUARY 7, 2025

Translation memory A translation memory is a database that stores previously translated text segments (typically sentences or phrases) along with their corresponding translations. To run the project code, make sure that you have fulfilled the AWS CDK prerequisites for Python.

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Analytics Vidhya

AUGUST 16, 2023

” This article delves into the comprehensive comparison of AWS vs Azure, examining their features, advantages, disadvantages, job opportunities, and more. What is AWS? Amazon Web Services (AWS) is a feature-rich […] The post AWS vs Azure: The Ultimate Cloud Face-Off appeared first on Analytics Vidhya.

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Analytics Vidhya

JULY 14, 2023

Introduction When we start learning AWS, we usually learn bits and pieces of it, like some of the core services; working around the AWS console, we could create a new ec2 instance or an s3 bucket and upload something to it. But in most cases, we couldn’t put all the services together into an actual application.

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Analytics Vidhya

NOVEMBER 2, 2022

Source: [link] Introduction Amazon Web Services (AWS) is a cloud computing platform offering a wide range of services coming under domains like networking, storage, computing, security, databases, machine learning, etc. AWS has seven types of storage services which include Elastic Block Storage […].

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AWS Machine Learning Blog

DECEMBER 24, 2024

To simplify infrastructure setup and accelerate distributed training, AWS introduced Amazon SageMaker HyperPod in late 2023. In this blog post, we showcase how you can perform efficient supervised fine tuning for a Meta Llama 3 model using PEFT on AWS Trainium with SageMaker HyperPod. architectures/5.sagemaker-hyperpod/LifecycleScripts/base-config/

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Analytics Vidhya

DECEMBER 28, 2022

Source: [link] Introduction If you are familiar with databases, or data warehouses, you have probably heard the term “ETL.” The post AWS Glue: Simplifying ETL Data Processing appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon. For the […].

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Flipboard

DECEMBER 3, 2024

AWS Database Migration Service Schema Conversion (DMS SC) helps you accelerate your database migration to AWS. Using DMS SC, you can assess, convert, …

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AWS Machine Learning Blog

NOVEMBER 22, 2024

This post discusses how to use AWS Step Functions to efficiently coordinate multi-step generative AI workflows, such as parallelizing API calls to Amazon Bedrock to quickly gather answers to lists of submitted questions. sync) pattern, which automatically waits for the completion of asynchronous jobs.

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Flipboard

NOVEMBER 27, 2024

While customers can perform some basic analysis within their operational or transactional databases, many still need to build custom data pipelines that use batch or streaming jobs to extract, transform, and load (ETL) data into their data warehouse for more comprehensive analysis. or a later version) database.

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Flipboard

APRIL 24, 2025

These tables house complex domain-specific schemas, with instances of nested tables and multi-dimensional data that require complex database queries and domain-specific knowledge for data retrieval. As a result, NL2SQL solutions for enterprise data are often incomplete or inaccurate.

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AWS Machine Learning Blog

DECEMBER 16, 2024

We spoke with Dr. Swami Sivasubramanian, Vice President of Data and AI, shortly after AWS re:Invent 2024 to hear his impressionsand to get insights on how the latest AWS innovations help meet the real-world needs of customers as they build and scale transformative generative AI applications. Canva uses AWS to power 1.2

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AWS Machine Learning Blog

MARCH 10, 2025

We walk through the journey Octus took from managing multiple cloud providers and costly GPU instances to implementing a streamlined, cost-effective solution using AWS services including Amazon Bedrock, AWS Fargate , and Amazon OpenSearch Service. Along the way, it also simplified operations as Octus is an AWS shop more generally.

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insideBIGDATA

JUNE 22, 2023

AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), today announced the AWS Generative AI Innovation Center, a new program to help customers successfully build and deploy generative artificial intelligence (AI) solutions. Amazon Web Services, Inc.

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Hacker News

APRIL 6, 2024

AWS is committed to supporting open source Valkey for the long term. We are adding Valkey support to our ElastiCache and MemoryDB managed database services and contributing to the open source Valkey project.

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AWS Machine Learning Blog

NOVEMBER 20, 2024

Whether it’s structured data in databases or unstructured content in document repositories, enterprises often struggle to efficiently query and use this wealth of information. The solution combines data from an Amazon Aurora MySQL-Compatible Edition database and data stored in an Amazon Simple Storage Service (Amazon S3) bucket.

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Analytics Vidhya

MAY 20, 2022

Source: Link Introduction In this article, we are going to talk about a dynamo DB a No-SQL, and a very highly scalable database provided by Amazon AWS. DynamoDB is a scalable hosted NoSQL database service that offers low latency and key-value pair databases. It is […].

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AWS Machine Learning Blog

APRIL 7, 2025

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies and AWS. Solution overview The following diagram provides a high-level overview of AWS services and features through a sample use case.

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AWS Machine Learning Blog

OCTOBER 31, 2024

AWS offers powerful generative AI services , including Amazon Bedrock , which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. The following figure illustrates the high-level design of the solution.

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AWS Machine Learning Blog

JANUARY 24, 2024

We demonstrate how to build an end-to-end RAG application using Cohere’s language models through Amazon Bedrock and a Weaviate vector database on AWS Marketplace. The user query is used to retrieve relevant additional context from the vector database. The user receives a more accurate response based on their query.

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Flipboard

DECEMBER 3, 2024

Syngenta and AWS collaborated to develop Cropwise AI , an innovative solution powered by Amazon Bedrock Agents , to accelerate their sales reps’ ability to place Syngenta seed products with growers across North America. The collaboration between Syngenta and AWS showcases the transformative power of LLMs and AI agents.

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AWS Machine Learning Blog

NOVEMBER 7, 2024

The Lambda function runs the database query against the appropriate OpenSearch Service indexes, searching for exact matches or using fuzzy matching for partial information. For specific part inquiries, the agent consults the action groups available to the agent and invokes the correct action (API) to retrieve relevant information.

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Flipboard

NOVEMBER 19, 2024

Amazon Bedrock offers a serverless experience so you can get started quickly, privately customize FMs with your own data, and integrate and deploy them into your applications using AWS tools without having to manage infrastructure. Deploy the AWS CDK project to provision the required resources in your AWS account.

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insideBIGDATA

OCTOBER 6, 2023

Amazon Web Services (AWS) announced the general availability of Amazon DataZone, a data management service that enables customers to catalog, discover, govern, share, and analyze data at scale across organizational boundaries.

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Flipboard

APRIL 21, 2025

In this post, to address the aforementioned challenges, we introduce an automated evaluation framework that is deployable on AWS. We then present a typical evaluation workflow, followed by our AWS-based solution that facilitates this process. We also provide LLM-as-a-judge evaluation metrics using the newly released Amazon Nova models.

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insideBIGDATA

SEPTEMBER 3, 2024

NASDAQ: BASE), the cloud database platform company, today officially launched CapellaTM Columnar on AWS, which helps organizations streamline the development of adaptive applications by enabling real-time data analysis alongside operational workloads within a single database platform. Couchbase, Inc.

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Flipboard

APRIL 24, 2025

OpenSearch Service is the AWS recommended vector database for Amazon Bedrock. Its a fully managed service that you can use to deploy, operate, and scale OpenSearch on AWS. OpenSearch is a distributed open-source search and analytics engine composed of a search engine and vector database. An OpenSearch Service domain.

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