Social Media Ideas for Amazon Emr

Latest updates for Amazon Emr

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aws.amazon.com /1 month ago

Announcing Spark Connect on Amazon EMR on EC2: Interactive PySpark anywhere

Amazon EMR on EC2 now supports Spark Connect, so you can develop and debug PySpark interactively from Amazon SageMaker Unified Studio Data Notebooks or your own IDE while Spark run...

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aws.amazon.com /3 weeks ago

Announcing Spark Connect on Amazon EMR on EKS: Interactive PySpark development, anywhere

Announcing Spark Connect on Amazon EMR on EKS: build, test, and debug Spark applications from VS Code, PyCharm, Jupyter notebooks, Amazon SageMaker Unified Studio, or dbt, while ru...

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aws.amazon.com /1 month ago

Accelerate Apache Spark debugging on Amazon EMR with AWS DevOps Agent

Extend AWS DevOps Agent to investigate Apache Spark failures on Amazon EMR. This post shows how to register the Apache Spark Troubleshooting Agent for Amazon EMR as a custom MCP ca...

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aws.amazon.com /1 week ago

Bring data quality to your Amazon EMR workloads with Amazon EMR Data Quality built on AWS Glue Data Quality

AWS Glue Data Quality is now available natively on Amazon EMR, bundled in AWS runtime for Apache Spark (emr-spark-8.1.0). Write the same DQDL rulesets you use in AWS Glue directly...

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aws.amazon.com /1 month ago

Query Amazon S3 Tables from Amazon EMR Trino using the Iceberg REST endpoint

Learn how to query Amazon S3 Tables from Trino on Amazon EMR using the Apache Iceberg REST catalog endpoint. This post shows how to deploy the integration with AWS CloudFormation,...

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aws.amazon.com /2 weeks ago

Query across accounts and table formats with multi-catalog in Amazon EMR

Amazon EMR 8.1.0 adds multi-catalog support through the RedirectingSessionCatalog, so you can query Iceberg, Delta Lake, Hudi, and Hive tables through a single catalog and join dat...

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aws.amazon.com /2 weeks ago

Cost-effective ETL with DuckDB and Amazon S3 Tables on AWS Glue

Learn how to pair DuckDB with AWS Glue 6.0 to run SQL-centric ETL on a single worker, reading Parquet from Amazon S3 and writing Apache Iceberg tables to Amazon S3 Tables. This pos...

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aws.amazon.com /1 month ago

How Moovit achieved 33% cost optimization through architectural modernization

Learn how Moovit modernized its data platform with a multi-engine lakehouse architecture: offloading heavy aggregation workloads from Amazon Redshift to Amazon EMR with Spark SQL,...

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aws.amazon.com /1 month ago

Build a real-time event pipeline with Spark Real-Time Mode on AWS Glue 6.0

With AWS Glue 6.0, you can build real-time, near-real-time, and batch data pipelines on a single platform. Using a financial market-risk example, learn how to flag high-risk trades...

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aws.amazon.com /1 month ago

Run Positron on Amazon SageMaker AI for data science workflows

Positron, Posit's IDE for data science, now runs on Amazon SageMaker AI. This post shows how a data scientist explores an Amazon Athena table, validates features in R, trains an XG...

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simplilearn.com /2 weeks ago

Top Hadoop Tools for Data Wizards | Simplilearn

Key Takeaways: Hadoop Tools provide various functions for controlling big data. Apache HBase is a real-time and scalable database management system. Apache Spark supports high-spe...

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aws.amazon.com /1 month ago

Razor Group’s journey to a modern data lakehouse on AWS

Razor Group, one of Europe's leading ecommerce aggregators managing 250+ brands, migrated from always-on Amazon Redshift clusters to an open lakehouse on Apache Iceberg, Amazon S3...

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sourcetrail.com /4 days ago

TorchNeuron Pushes PyTorch Workloads Toward AWS Trainium

AWS's TorchNeuron lets PyTorch teams test Trainium with a simple config change—no rewrite. See what changes, early users, and the CUDA stakes. The post TorchNeuron Pushes PyTorch W...

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aws.amazon.com /2 weeks ago

Monitoring MWAA-orchestrated ETL pipelines with Amazon OpenSearch Service

Troubleshooting a multi-service, MWAA-orchestrated ETL pipeline often means hunting across scattered Amazon CloudWatch log groups. This post shows how to centralize your ETL logs i...

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aws.amazon.com /1 month ago

How Moeve standardized dbt runs across data lakes with Amazon Athena

Moeve standardized how it runs dbt across multiple data lakes by building a centralized, serverless launcher on Amazon Athena, AWS Step Functions, AWS Fargate, Amazon DynamoDB, and...

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aws.amazon.com /1 month ago

Build declarative ETL pipelines with AWS Glue 6.0

AWS Glue 6.0 introduces Spark Declarative Pipelines. In this post, you build a single declarative AWS Glue 6.0 job that turns raw order records into validated, aggregated tables th...

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aws.amazon.com /1 month ago

AWS and DuckLabs: Building the future of analytics together

Today we are announcing that Amazon has signed a definitive agreement to acquire DuckLabs, the Amsterdam-based company behind the open-source analytical database DuckDB. We expect...

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aws.amazon.com /3 weeks ago

Building an LLM-powered DAG failure analysis plugin for Amazon MWAA

Debugging Apache Airflow DAG failures across services like AWS Glue, Amazon EMR, and Amazon Athena is slow and manual. In this post, we show you how to build a custom Airflow plugi...

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cloud.google.com /1 month ago

How Yahoo optimizes resources with flexible VMs in Managed Service for Apache Spark

As a global media and technology company connecting hundreds of millions of users to finance, sports, and entertainment platforms, Yahoo operates a massive data infrastructure wher...

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aws.amazon.com /2 weeks ago

Materialize once, query anywhere: Introducing Iceberg materialized views in Amazon Redshift

Amazon Redshift now supports Iceberg materialized views. Compute an aggregation once in Amazon Redshift and store the result as a standard Apache Iceberg table in Amazon S3, querya...

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aws.amazon.com /1 month ago

Accelerating Spark queries with Iceberg materialized views

Accelerate slow, repetitive Apache Spark analytical queries on Apache Iceberg tables without rewriting any SQL. This post shows how automatic query rewrite in Amazon EMR and AWS Gl...

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simplilearn.com /1 week ago

Top AWS Stats for 2027 | Simplilearn

The name Гўв‚¬ЛњAmazonГўв‚¬в„ў doesnГўв‚¬в„ўt need an introduction. Founded by Jeff Bezos in 1994, Amazon officially started off as an online bookseller and over the years, grew in...

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sourcetrail.com /3 weeks ago

AWS Aurora PostgreSQL adds direct queries for Iceberg and Parquet data lakes

AWS Aurora PostgreSQL now queries Iceberg and Parquet data in S3 without ETL, using DuckDB and familiar SQL. See versions, setup, limits, and costs. The post AWS Aurora PostgreSQL...

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sourcetrail.com /4 days ago

AWS’s TorchNeuron Pushes PyTorch Closer to Trainium

AWS TorchNeuron lets PyTorch workloads run on Trainium with a config change, aiming to cut CUDA lock-in. See early users and open-source plans. The post AWS’s TorchNeuron Pushes Py...

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