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Optimize write throughput for Amazon Kinesis Data Streams

AWS Big Data

If all of them are fully utilized during a minute window specified using -from and -to arguments, the host running KHS will receive at least 1 MB * 100 * 60 = 6000 MB = approximately 6 GB data. The first issue with this is, if the host crashes before the records could be written, you’ll experience data loss.

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Scale AWS Glue jobs by optimizing IP address consumption and expanding network capacity using a private NAT gateway

AWS Big Data

In this post, we will discuss two strategies to scale AWS Glue jobs: Optimizing the IP address consumption by right-sizing Data Processing Units (DPUs), using the Auto Scaling feature of AWS Glue, and fine-tuning of the jobs. Now let us look at the first solution that explains optimizing the AWS Glue IP address consumption.

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SAP Industry Insights Podcast Highlights of 2021 with Host Tom Raftery

Timo Elliott

I recently had the opportunity to sit down with Tom Raftery , host of the SAP Industry Insights Podcast (among others!) Let me ask you another question: what did you enjoy most about hosting these episodes? to discuss some of the highlights and common themes in last year’s episodes.

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Implement data warehousing solution using dbt on Amazon Redshift

AWS Big Data

In this post, we look into an optimal and cost-effective way of incorporating dbt within Amazon Redshift. In an optimal environment, we store the credentials in AWS Secrets Manager and retrieve them. For more information, refer SQL models. For more information, refer to Redshift set up. A Redshift cluster.

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AVB accelerates search in LINQ with Amazon OpenSearch Service

AWS Big Data

Initially, searches from Hub queried LINQ’s Microsoft SQL Server database hosted on Amazon Elastic Compute Cloud (Amazon EC2), with search times averaging 3 seconds, leading to reduced adoption and negative feedback. The LINQ team exposes access to the OpenSearch Service index through a search API hosted on Amazon EC2.

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Build a RAG data ingestion pipeline for large-scale ML workloads

AWS Big Data

With optimized configuration, it aims for high recall for the queries. For more information on the choice of index algorithm, refer to Choose the k-NN algorithm for your billion-scale use case with OpenSearch. For more details, refer to Amazon OpenSearch Service Construct Library. zst`; do zstd -d $F; done rm *.zst Outputs[?

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Enable cost-efficient operational analytics with Amazon OpenSearch Ingestion

AWS Big Data

To optimize S3 storage costs, create a lifecycle configuration on the S3 bucket to transition the VPC flow logs to different tiers or expire processed logs. For instructions, refer to Configure the pipeline role. For instructions, refer to Getting started. Set up the VPC flow logs to publish logs to an S3 bucket in text format.

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