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AWS Big Data Blog
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Best practices for
querying
Apache Iceberg data with Amazon
Redshift
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·
21w
IPv6
addressing with Amazon
Redshift
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·
21w
Reference
guide for building a self-service analytics solution with Amazon
SageMaker
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·
21w
Introducing the Apache Spark troubleshooting agent for Amazon
EMR
and AWS
Glue
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·
21w
Introducing
Apache
Spark upgrade agent for Amazon
EMR
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·
21w
Accelerate Apache Hive read and write on Amazon
EMR
using enhanced
S3A
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·
21w
Amazon EMR HBase on Amazon S3 transitioning to EMR
S3A
with comparable
EMRFS
performance
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·
21w
How
Socure
achieved 50% cost reduction by migrating from self-managed Spark to Amazon
EMR
Serverless
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·
21w
How
Bayer
transforms Pharma R&D with a cloud-based data science ecosystem using Amazon
SageMaker
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·
21w
Introducing Apache Iceberg
materialized
views in AWS
Glue
Data Catalog
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·
22w
Introducing AWS
Glue
5.1 for
Apache
Spark
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·
22w
Auto-optimize
your Amazon
OpenSearch
Service vector database
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·
22w
Build billion-scale vector databases in under an hour with GPU
acceleration
on Amazon
OpenSearch
Service
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·
22w
SAP data
ingestion
and replication with AWS Glue
zero-ETL
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·
22w
Run Apache Spark and
Iceberg
4.5x faster than open source Spark with Amazon
EMR
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·
24w
Apache
Spark encryption performance improvement with Amazon
EMR
7.9
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·
24w
Run Apache Spark and Apache
Iceberg
write jobs 2x faster with Amazon
EMR
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·
24w
Medidata
’s journey to a modern
lakehouse
architecture on AWS
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·
24w
Achieve 2x faster data lake query performance with Apache
Iceberg
on Amazon
Redshift
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·
24w
Introducing catalog federation for Apache
Iceberg
tables in the AWS
Glue
Data Catalog
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·
24w
« Page 6
·
Page 8 »
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