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Tag: Data Lab

Implement a custom AutoML job using pre-selected algorithms in Amazon SageMaker Automatic Model Tuning | Amazon Web Services

AutoML allows you to derive rapid, general insights from your data right at the beginning of a machine learning (ML) project lifecycle. Understanding up...

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How Zoom implemented streaming log ingestion and efficient GDPR deletes using Apache Hudi on Amazon EMR | Amazon Web Services

In today’s digital age, logging is a critical aspect of application development and management, but efficiently managing logs while complying with data protection regulations...

Build a transactional data lake using Apache Iceberg, AWS Glue, and cross-account data shares using AWS Lake Formation and Amazon Athena

Building a data lake on Amazon Simple Storage Service (Amazon S3) provides numerous benefits for an organization. It allows you to access diverse data...

It’s the Amazon QuickSight Community’s 1st birthday!

Happy birthday Amazon QuickSight Community! We are celebrating 1 year since the launch of our new Community. The Amazon QuickSight Community website is a...

Push Amazon EMR step logs from Amazon EC2 instances to Amazon CloudWatch logs

Amazon EMR is a big data service offered by AWS to run Apache Spark and other open-source applications on AWS to build scalable data...

Implement unified text and image search with a CLIP model using Amazon SageMaker and Amazon OpenSearch Service

The rise of text and semantic search engines has made ecommerce and retail businesses search easier for its consumers. Search engines powered by unified...

Accelerating revenue growth with real-time analytics: Poshmark’s journey

This post was co-written by Mahesh Pasupuleti and Gaurav Shah from Poshmark. Poshmark is a leading social marketplace for new and secondhand styles for...

Lockheed Martin to upgrade F-35 mission data lab for Australia, Canada, and UK

16 March 2023 by Gareth Jennings The ACURL is used to develop, verify, and validate mission...

Simplify data loading into Type 2 slowly changing dimensions in Amazon Redshift

Thousands of customers rely on Amazon Redshift to build data warehouses to accelerate time to insights with fast, simple, and secure analytics at scale...

IoT Now Contract Hot List – Jan/Feb 2023

Vendor/PartnerClient, CountryProduct/Service (Duration & Value)AwardedSourceABRINT DSA, Broadcom, CiscoCollaboration to boost use of Wi-Fi in 6 GHz band in Brazil.2,23Full DetailsActelis City of Eugene, OregonSelected by City...

Build incremental data pipelines to load transactional data changes using AWS DMS, Delta 2.0, and Amazon EMR Serverless

Building data lakes from continuously changing transactional data of databases and keeping data lakes up to date is a complex task and can be...

How Tricentis unlocks insights across the software development lifecycle at speed and scale using Amazon Redshift

This is a guest post co-written with Parag Doshi, Guru Havanur, and Simon Guindon from Tricentis. Tricentis is the global leader in continuous testing...

Use Apache Iceberg in a data lake to support incremental data processing

Apache Iceberg is an open table format for very large analytic datasets, which captures metadata information on the state of datasets as they evolve...

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