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Recap of Amazon Redshift key product announcements in 2024

AWS Big Data

Today, Amazon Redshift is used by customers across all industries for a variety of use cases, including data warehouse migration and modernization, near real-time analytics, self-service analytics, data lake analytics, machine learning (ML), and data monetization.

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Amazon Web Services named a Leader in the 2024 Gartner Magic Quadrant for Data Integration Tools

AWS Big Data

Amazon Web Services (AWS) has been recognized as a Leader in the 2024 Gartner Magic Quadrant for Data Integration Tools. This recognition, we feel, reflects our ongoing commitment to innovation and excellence in data integration, demonstrating our continued progress in providing comprehensive data management solutions.

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Introducing simplified interaction with the Airflow REST API in Amazon MWAA

AWS Big Data

123} ▶ Pre task execution logs [2024-10-21, 16:56:12 UTC] {subprocess.py:63} 63} INFO - Tmp dir root location: /tmp [2024-10-21, 16:56:12 UTC] {subprocess.py:75} 123} ▶ Pre task execution logs [2024-10-21, 16:56:12 UTC] {subprocess.py:63} 63} INFO - Tmp dir root location: /tmp [2024-10-21, 16:56:12 UTC] {subprocess.py:75}

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Top analytics announcements of AWS re:Invent 2024

AWS Big Data

AWS re:Invent 2024, the flagship annual conference, took place December 26, 2024, in Las Vegas, bringing together thousands of cloud enthusiasts, innovators, and industry leaders from around the globe.

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MongoDB Enhances Developer Data Platform

David Menninger's Analyst Perspectives

Earlier in 2024, the company also announced the launch of the MongoDB AI Applications Program (MAAP), which is designed to assist customers in developing and deploying applications enriched with GenAI.

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Accelerate analytics and AI innovation with the next generation of Amazon SageMaker

AWS Big Data

At AWS re:Invent 2024, we announced the next generation of Amazon SageMaker , the center for all your data, analytics, and AI. Unified access to your data is provided by Amazon SageMaker Lakehouse , a unified, open, and secure data lakehouse built on Apache Iceberg open standards.

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Run Apache XTable in AWS Lambda for background conversion of open table formats

AWS Big Data

Initially, data warehouses were the go-to solution for structured data and analytical workloads but were limited by proprietary storage formats and their inability to handle unstructured data. Eventually, transactional data lakes emerged to add transactional consistency and performance of a data warehouse to the data lake.

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