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AWS Big Data Blog
aws.amazon.com
Amazon
Redshift
out-of-the-box performance
innovations
for data lake queries
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·
40w
Optimize traffic costs of Amazon MSK consumers on Amazon
EKS
with
rack
awareness
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·
41w
Automate data lineage in Amazon
SageMaker
using AWS Glue
Crawlers
supported data sources
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·
41w
Accelerate your data quality journey for
lakehouse
architecture with Amazon
SageMaker
, Apache Iceberg on AWS, Amazon S3 tables, and AWS Glue Data Quality
aws.amazon.com
·
41w
Build an analytics pipeline that is resilient to
Avro
schema changes using Amazon
Athena
aws.amazon.com
·
41w
Secure
generative
SQL
with Amazon Q
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·
41w
Optimize industrial IoT analytics with Amazon Data
Firehose
and Amazon S3 Tables with Apache
Iceberg
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·
41w
Use
Databricks
Unity Catalog Open APIs for Spark workloads on Amazon
EMR
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·
41w
Trusted identity propagation using
IAM
Identity Center for Amazon
OpenSearch
Service
aws.amazon.com
·
41w
Amazon
OpenSearch
Service 101: How many
shards
do I need
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·
41w
Introducing MCP Server for
Apache
Spark History Server for AI-powered
debugging
and optimization
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·
42w
Improve RabbitMQ performance on Amazon MQ with AWS
Graviton3-based
M7g
instances
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·
42w
Accelerating
development with the AWS Data
Processing
MCP Server and Agent
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·
42w
Workload management in
OpenSearch-based
multi-tenant
centralized
logging platforms
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·
42w
Optimizing vector search using Amazon S3
Vectors
and Amazon
OpenSearch
Service
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·
42w
Unifying data insights with Amazon
QuickSight
and Amazon
SageMaker
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·
42w
Integrating Amazon
OpenSearch
Ingestion
with Amazon RDS and Amazon Aurora
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·
42w
Scale your AWS
Glue
for
Apache
Spark jobs with R type, G.12X, and G.16X workers
aws.amazon.com
·
42w
Unifying metadata governance across Amazon
SageMaker
and
Collibra
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·
43w
Compaction support for
Avro
and
ORC
file formats in Apache Iceberg tables in Amazon S3
aws.amazon.com
·
43w
« Page 12
·
Page 14 »
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