Pickl AI

JUNE 29, 2025

The essential elements of a data lake and analytics solution include: Data Ingestion Tools and processes that collect data from various sources (databases, IoT devices, social media, logs) and load it into the lake. Storage Layer A scalable, cost-effective storage system that holds raw data in its native format.

Data Lakes 52

Data Lakes Data Warehouse Azure Cloud Data 52

AWS Machine Learning Blog

APRIL 9, 2025

They are available at no additional charge in AWS Regions where the Amazon Q Business service is offered. Log groups prefixed with /aws/vendedlogs/ will be created automatically. Choose Enable logging to start streaming conversation and feedback data to your logging destination. For more information, see Policy evaluation logic.

AWS 90

AWS Analytics Analytics AI 90

AWS Machine Learning Blog

APRIL 15, 2025

Clario engaged with their AWS account team and AWS Generative AI Innovation Center to explore how generative AI could help streamline the process. The solution The AWS team worked closely with Clario to develop a prototype solution that uses AWS AI services to automate the BRS generation process.

AWS 63

AWS Data Science ML ML 63

Pickl AI

FEBRUARY 23, 2025

Summary: Big Data tools empower organizations to analyze vast datasets, leading to improved decision-making and operational efficiency. Ultimately, leveraging Big Data analytics provides a competitive advantage and drives innovation across various industries.

Big Data 52

Big Data Big Data Apache Hadoop Apache Kafka 52

Flipboard

JUNE 16, 2025

Amazon Web Services (AWS) offers an entire menu of functions in this space. AWS positions this service alongside the Amazon Transcribe speech-to-text tools, the quirkily named Amazon Rekognition image and video analysis service… and there’s also Amazon Textract, which extracts metadata from scanned documents and images.

Big Data 137

Big Data Big Data Machine Learning Machine Learning 137

Pickl AI

APRIL 1, 2025

Core skills include networking, security, virtualisation, and proficiency in cloud platforms like AWS, Azure, and GCP. Certifications like AWS Solutions Architect and Azure Solutions Architect boost job prospects. AWS EC2, Azure Virtual Machines). Google App Engine, AWS Lambda). Google Drive, Microsoft 365).

Cloud Computing 52

Cloud Computing Azure AWS Data Science 52

Analytics Vidhya

AUGUST 23, 2023

It is found that among the two, Microsoft Azure proposes the most effective and adaptable software solution, while Google Cloud Platform (GCP) presents sophisticated big data analytics solutions and facilitates simple integration with other vendor products.

Azure 271

Azure Big Data Analytics Big Data Analytics Cloud Computing 271

Flipboard

OCTOBER 25, 2023

However, with the help of AI and machine learning (ML), new software tools are now available to unearth the value of unstructured data. In this post, we discuss how AWS can help you successfully address the challenges of extracting insights from unstructured data. The solution integrates data in three tiers.

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AWS ML ML Analytics 166

Smart Data Collective

FEBRUARY 20, 2022

AWS (Amazon Web Services), the comprehensive and evolving cloud computing platform provided by Amazon, is comprised of infrastructure as a service (IaaS), platform as a service (PaaS) and packaged software as a service (SaaS). With its wide array of tools and convenience, AWS has already become a popular choice for many SaaS companies.

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AWS Cloud Computing Data Lakes Database 138

AWS Machine Learning Blog

OCTOBER 5, 2023

In this post, we walk through how to fine-tune Llama 2 on AWS Trainium , a purpose-built accelerator for LLM training, to reduce training times and costs. We review the fine-tuning scripts provided by the AWS Neuron SDK (using NeMo Megatron-LM), the various configurations we used, and the throughput results we saw.

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AWS Machine Learning Machine Learning Deep Learning 126

AWS Machine Learning Blog

DECEMBER 7, 2023

In this post, we describe the end-to-end workforce management system that begins with location-specific demand forecast, followed by courier workforce planning and shift assignment using Amazon Forecast and AWS Step Functions. AWS Step Functions automatically initiate and monitor these workflows by simplifying error handling.

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AWS Algorithm Data Science Machine Learning 129

AWS Machine Learning Blog

DECEMBER 4, 2023

In this post, we explain how we built an end-to-end product category prediction pipeline to help commercial teams by using Amazon SageMaker and AWS Batch , reducing model training duration by 90%. This capability of predictive analytics, particularly the accurate forecast of product categories, has proven invaluable.

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AWS Machine Learning Blog

AUGUST 21, 2023

You can streamline the process of feature engineering and data preparation with SageMaker Data Wrangler and finish each stage of the data preparation workflow (including data selection, purification, exploration, visualization, and processing at scale) within a single visual interface. Choose Create stack.

AWS 98

AWS Data Lakes Clustering Data Preparation 98

Dataconomy

SEPTEMBER 4, 2023

Text analytics is crucial for sentiment analysis, content categorization, and identifying emerging trends. Big data analytics: Big data analytics is designed to handle massive volumes of data from various sources, including structured and unstructured data.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

Data Science Dojo

JULY 6, 2023

Amazon Redshift: Amazon Redshift is a cloud-based data warehousing service provided by Amazon Web Services (AWS). Amazon Redshift allows data engineers to analyze large datasets quickly using massively parallel processing (MPP) architecture. It is known for its high performance and cost-effectiveness.

Data Engineering 195

Data Engineering Data Engineer Data Engineering Data Engineering 195

Pickl AI

FEBRUARY 10, 2025

Summary: This blog provides an in-depth look at the top 20 AWS interview questions, complete with detailed answers. Covering essential topics such as EC2, S3, security, and cost optimization, this guide is designed to equip candidates with the knowledge needed to excel in AWS-related interviews and advance their careers in cloud computing.

AWS 52

AWS Cloud Computing Database Big Data Analytics 52

AWS Machine Learning Blog

FEBRUARY 13, 2024

SageMaker Feature Store now makes it effortless to share, discover, and access feature groups across AWS accounts. With this launch, account owners can grant access to select feature groups by other accounts using AWS Resource Access Manager (AWS RAM). Review the access policy to understand permissions granted.

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AWS Machine Learning Blog

NOVEMBER 8, 2023

It is available as part of the Toolkit for Visual Studio Code , AWS Cloud9 , JupyterLab, Amazon SageMaker Studio , AWS Lambda , AWS Glue , and JetBrains IntelliJ IDEA. Impact of unoptimized code on cloud computing and application carbon footprint AWS’s infrastructure is 3.6

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AWS Cloud Computing ML ML 126

AWS Machine Learning Blog

MARCH 3, 2023

With faster model training times, you can focus on understanding your data and analyzing the impact of the data, and achieve effective business outcomes. This capability is available in all AWS regions where SageMaker Canvas is now supported. About the Authors Ajjay Govindaram is a Senior Solutions Architect at AWS.

ML 101

ML ML Machine Learning Machine Learning 101

AWS Machine Learning Blog

SEPTEMBER 3, 2024

Scalability and performance – The EMR Serverless integration automatically scales the compute resources up or down based on your workload’s demands, making sure you always have the necessary processing power to handle your big data tasks. This same interface is also used for provisioning EMR clusters.

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AWS Clustering Big Data Big Data 117

AWS Machine Learning Blog

AUGUST 21, 2024

Amazon DataZone is a data management service that makes it quick and convenient to catalog, discover, share, and govern data stored in AWS, on-premises, and third-party sources. An Amazon DataZone domain and an associated Amazon DataZone project configured in your AWS account.

Machine Learning 121

Machine Learning Machine Learning Data Governance Data Scientist 121

Flipboard

JUNE 18, 2023

Snowflake (NYSE:SNOW) originally built their cloud-based warehouse on AWS in 2014, then started to build their platform and applications to operate …

Machine Learning 123

Machine Learning Machine Learning Analytics Analytics 123

AWS Machine Learning Blog

NOVEMBER 29, 2023

With its comprehensive data preparation and unified experience from data to insights, SageMaker Canvas empowers you to improve your ML outcomes. For more information on how to accelerate your journeys from data to business insights, see SageMaker Canvas immersion day and AWS user guide. Product Manager at AWS.

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AWS Machine Learning Blog

JULY 8, 2025

Prerequisites To follow along with this post, make sure you have an active AWS account with appropriate permissions to access Amazon Bedrock and create an S3 bucket to be the data source. For IAM permissions , select Create and use a new service role to create a new AWS Identity and Access Management (IAM) role. Choose Next.

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AWS Machine Learning Blog

MARCH 10, 2023

For each option, we deploy a unique stack of AWS CloudFormation templates. For the EMR cluster, connects the AWS Glue Data Catalog as metastore for EMR Hive and Presto, creates a Hive table in EMR, and fills it with data from a US airport dataset. Open the Amazon S3 page by searching for S3 in the AWS console search.

Clustering 101

Clustering AWS ML ML 101

Flipboard

MARCH 22, 2023

In this post, we show how to configure a new OAuth-based authentication feature for using Snowflake in Amazon SageMaker Data Wrangler. Snowflake is a cloud data platform that provides data solutions for data warehousing to data science. For more information about prerequisites, see Get Started with Data Wrangler.

AWS 123

AWS Data Preparation Azure Data Scientist 123

IBM Journey to AI blog

AUGUST 23, 2023

When it comes to hosting applications on Amazon Web Services (AWS), one of the most important decisions you will need to make is which Amazon Elastic Compute Cloud (EC2) instance type to choose. EC2 instances are virtual machines that allow you to run your applications on AWS.

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AWS Database Big Data Big Data 40

AWS Machine Learning Blog

JANUARY 26, 2023

At AWS, we recommend our readers start exploring warm pools for iterative and repetitive training jobs. About the Authors Tristan Miller is a Lead Data Scientist at Best Egg. Valerio Perrone is an Applied Science Manager at AWS. Solutions Architect at AWS. Hariharan Suresh is a Senior Solutions Architect at AWS.

ML 100

ML ML Data Scientist AWS 100

AWS Machine Learning Blog

MAY 3, 2023

Furthermore, the dynamic nature of a customer’s data can also result in a large variance of the processing time and resources required to optimally complete the feature engineering. AWS customer Vericast is a marketing solutions company that makes data-driven decisions to boost marketing ROIs for its clients.

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AWS Machine Learning Machine Learning ML 103

AWS Machine Learning Blog

JUNE 3, 2024

based single sign-on (SSO) methods, such as AWS IAM Identity Center. To learn more, see Secure access to Amazon SageMaker Studio with AWS SSO and a SAML application. For Data flow name , enter a name (for example, AssessingMentalHealthFlow ). SageMaker Data Wrangler will open. You can also use your organization’s SAML 2.0-based

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AWS ML ML AI 125

AWS Machine Learning Blog

AUGUST 22, 2023

With SageMaker, data scientists and developers can quickly build and train ML models, and then deploy them into a production-ready hosted environment. In this post, we demonstrate how to use the managed ML platform to provide a notebook experience environment and perform federated learning across AWS accounts, using SageMaker training jobs.

Machine Learning 98

Machine Learning Machine Learning AWS ML 98

AWS Machine Learning Blog

MAY 15, 2023

We outline how we built an automated demand forecasting pipeline using Forecast and orchestrated by AWS Step Functions to predict daily demand for SKUs. On an ongoing basis, we calculate mean absolute percentage error (MAPE) ratios with product-based data, and optimize model and feature ingestion processes.

Algorithm 98

Algorithm Data Scientist Machine Learning Machine Learning 98

AWS Machine Learning Blog

MAY 10, 2023

Prerequisites The following prerequisites are needed to implement this solution: An AWS account with permissions to create AWS Identity and Access Management (IAM) policies and roles. About the Authors Ajjay Govindaram is a Senior Solutions Architect at AWS. Varun Mehta is a Solutions Architect at AWS.

ML 101

ML ML AWS Data Analysis 101

Flipboard

MARCH 7, 2023

You can manage app images via the SageMaker console, the AWS SDK for Python (Boto3), and the AWS Command Line Interface (AWS CLI). The Studio Image Build CLI lets you build SageMaker-compatible Docker images directly from your Studio environments by using AWS CodeBuild. Environments without internet access.

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Python AWS ML ML 123

AWS Machine Learning Blog

NOVEMBER 27, 2023

Upload embedding to a vector database (powered by OpenSearch) Prerequisites For this walkthrough, you should have the following: An AWS account with permissions to create AWS Identity and Access Management (AWS IAM) policies and roles Access to Amazon SageMaker , an instance of Amazon SageMaker Studio , and a user for Studio.

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Data Preparation AI AI Python 109

AWS Machine Learning Blog

JUNE 19, 2025

Foundation Models (FMs) demand distributed training clusters — coordinated groups of accelerated compute instances , using frameworks like PyTorch — to parallelize workloads across hundreds of accelerators (like AWS Trainium and AWS Inferentia chips or NVIDIA GPUs).

Clustering 94

Clustering Data Scientist AWS ML 94

AWS Machine Learning Blog

APRIL 19, 2023

Streaming ingestion – An Amazon Kinesis Data Analytics for Apache Flink application backed by Apache Kafka topics in Amazon Managed Streaming for Apache Kafka (MSK) (Amazon MSK) calculates aggregated features from a transaction stream, and an AWS Lambda function updates the online feature store.

ML 98

ML ML Apache Kafka Data Scientist 98