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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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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",

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Demystify data sharing and collaboration patterns on AWS: Choosing the right tool for the job

AWS Big Data

Next, we focus on building the enterprise data platform where the accumulated data will be hosted. It provides data catalog, automated crawlers, and visual job creation to streamline data integration across various data sources and targets. AWS Data Exchange enables you to find, subscribe to, and use third-party datasets in the AWS Cloud.

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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

From here, the metadata is published to Amazon DataZone by using AWS Glue Data Catalog. EUROGATE is a leading independent container terminal operator in Europe, known for its reliable and professional container handling services. Their terminal operations rely heavily on seamless data flows and the management of vast volumes of data.

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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. In this post, we focus on the use case for centralizing log aggregation for an organization that has a compliance need to archive and retain its log data.

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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 ANZ Institutional Division built a federated data platform to enable their domain teams to build data products to support business outcomes

AWS Big Data

In today’s rapidly evolving financial landscape, data is the bedrock of innovation, enhancing customer and employee experiences and securing a competitive edge. Like many large financial institutions, ANZ Institutional Division operated with siloed data practices and centralized data management teams.