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Accelerate your migration to Amazon OpenSearch Service with Reindexing-from-Snapshot

AWS Big Data

Each Lucene index (and, therefore, each OpenSearch shard) represents a completely independent search and storage capability hosted on a single machine. How RFS works OpenSearch and Elasticsearch snapshots are a directory tree that contains both data and metadata. The following is an example for the structure of an Elasticsearch 7.10

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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

Internally, making data accessible and fostering cross-departmental processing through advanced analytics and data science enhances information use and decision-making, leading to better resource allocation, reduced bottlenecks, and improved operational performance. Eliminate centralized bottlenecks and complex data pipelines.

IoT 107
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Modernize your legacy databases with AWS data lakes, Part 2: Build a data lake using AWS DMS data on Apache Iceberg

AWS Big Data

format(dbname, table_name)) except Exception as ex: print(ex) failed_table = {"table_name": table_name, "Reason": ex} unprocessed_tables.append(failed_table) def get_table_key(host, port, username, password, dbname): jdbc_url = "jdbc:sqlserver://{0}:{1};databaseName={2}".format(host, To start the job, choose Run. format(dbname)).config("spark.sql.catalog.glue_catalog.catalog-impl",

Data Lake 104
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Use Amazon Kinesis Data Streams to deliver real-time data to Amazon OpenSearch Service domains with Amazon OpenSearch Ingestion

AWS Big Data

You can use this approach for a variety of use cases, from real-time log analytics to integrating application messaging data for real-time search. This allows the log analytics pipeline to meet Well-Architected best practices for resilience ( REL04-BP02 ) and cost ( COST09-BP02 ).

Metadata 115
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Integrate custom applications with AWS Lake Formation – Part 2

AWS Big Data

Add Amplify hosting Amplify can host applications using either the Amplify console or Amazon CloudFront and Amazon Simple Storage Service (Amazon S3) with the option to have manual or continuous deployment. For simplicity, we use the Hosting with Amplify Console and Manual Deployment options.

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How BMW streamlined data access using AWS Lake Formation fine-grained access control

AWS Big Data

The CDH is used to create, discover, and consume data products through a central metadata catalog, while enforcing permission policies and tightly integrating data engineering, analytics, and machine learning services to streamline the user journey from data to insight.

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Reduce your compute costs for stream processing applications with Kinesis Client Library 3.0

AWS Big Data

Load balancing challenges with operating custom stream processing applications Customers processing real-time data streams typically use multiple compute hosts such as Amazon Elastic Compute Cloud (Amazon EC2) to handle the high throughput in parallel. KCL uses DynamoDB to store metadata such as shard-worker mapping and checkpoints.