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AWS Big Data Blog
aws.amazon.com
Introducing
Jobs in Amazon
SageMaker
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·
43w
Orchestrate
data processing jobs,
querybooks
, and notebooks using visual workflow experience in Amazon SageMaker
aws.amazon.com
·
43w
Revenue
NSW
modernises
analytics with AWS, enabling unified and scalable data management, processing, and access
aws.amazon.com
·
43w
Harnessing the Power of Nested
Materialized
Views and exploring
Cascading
Refresh
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·
43w
Realizing ocean data democratization:
Furuno
Electric’s initiatives using Amazon
DataZone
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·
43w
Geospatial
data lakes with Amazon
Redshift
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·
43w
Develop and monitor a Spark application using existing data in Amazon
S3
with Amazon
SageMaker
Unified Studio
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·
44w
Perform per-project cost
allocation
in Amazon
SageMaker
Unified Studio
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·
44w
Near real-time
baggage
operational insights for airlines using Amazon
Kinesis
Data Streams
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·
44w
Overcome your
Kafka
Connect challenges with Amazon Data
Firehose
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·
44w
How
Stifel
built a modern data platform using AWS
Glue
and an event-driven domain architecture
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·
44w
Build
conversational
AI search with Amazon
OpenSearch
Service
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·
44w
Enhance stability with dedicated cluster manager
nodes
using Amazon
OpenSearch
Service
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·
44w
Kaltura
reduces observability operational costs by 60% with Amazon
OpenSearch
Service
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·
44w
Introducing GenAI-powered business
description
recommendations for custom assets in Amazon
SageMaker
Catalog
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·
45w
Amazon
Redshift
Python
user-defined
functions will reach end of support after June 30, 2026
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·
45w
Enforce
table level access control on data lake tables using AWS
Glue
5.0 with AWS Lake Formation
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·
45w
Building
serverless
event streaming applications with Amazon MSK and AWS
Lambda
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·
45w
Enhance data ingestion performance in Amazon
Redshift
with concurrent
inserts
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·
45w
Introducing AWS
Glue
Data
Catalog
usage metrics for API usage
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·
45w
« Page 13
·
Page 15 »
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