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Use LangChain with PySpark to process documents at massive scale with Amazon SageMaker Studio and Amazon EMR Serverless

AWS Machine Learning

Harnessing the power of big data has become increasingly critical for businesses looking to gain a competitive edge. However, managing the complex infrastructure required for big data workloads has traditionally been a significant challenge, often requiring specialized expertise. elasticmapreduce", "arn:aws:s3:::*.elasticmapreduce/*"

Big data 111
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Use AWS PrivateLink to set up private access to Amazon Bedrock

AWS Machine Learning

On the JSON tab, modify the policy as follows: { "Version": "2012-10-17", "Statement": [ { "Sid": "eniperms", "Effect": "Allow", "Action": [ "ec2:CreateNetworkInterface", "ec2:DescribeNetworkInterfaces", "ec2:DeleteNetworkInterface", "ec2:*VpcEndpoint*" ], "Resource": "*" } ] } Choose Next. You’re redirected to the IAM console. With an M.Sc.

APIs 137
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Set up cross-account Amazon S3 access for Amazon SageMaker notebooks in VPC-only mode using Amazon S3 Access Points

AWS Machine Learning

Kesaraju Sai Sandeep is a Cloud Engineer specializing in Big Data Services at AWS. Don’t change or edit any Block Public Access settings for this access point (all public access should be blocked). You can define the actions as per your requirements or use case.

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Promote pipelines in a multi-environment setup using Amazon SageMaker Model Registry, HashiCorp Terraform, GitHub, and Jenkins CI/CD

AWS Machine Learning

Policy 3 – Attach AWSLambda_FullAccess , which is an AWS managed policy that grants full access to Lambda, Lambda console features, and other related AWS services.

Scripts 121
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Super charge your LLMs with RAG at scale using AWS Glue for Apache Spark

AWS Machine Learning

Prerequisites To continue this tutorial, you must create the following AWS resources in advance: An Amazon Simple Storage Service (Amazon S3) bucket for storing data An AWS Identity and Access Management (IAM) role for your AWS Glue notebook as instructed in Set up IAM permissions for AWS Glue Studio.

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Large-scale feature engineering with sensitive data protection using AWS Glue interactive sessions and Amazon SageMaker Studio

AWS Machine Learning

Create IAM users called data-engineer and data-scientist under the IAM group data-platform-group. Modify your role’s trust relationship: { "Version":"2012-10-17", "Statement":[ { "Effect":"Allow", "Principal":{ "Service":[ "glue.amazonaws.com", "sagemaker.amazonaws.com" ] }, "Action":"sts:AssumeRole" } ] }.

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Top 5 Technology Trends in 2023

IdeasUnlimited

The idea of using big data to program software is not new. The first breakthrough came when Tesla announced that their electric cars will be operated with an app launched in 2012. Quantum computers are, however, much better at sifting through big data or charting simulations.