Remove Data Processing Remove Metadata Remove Optimization
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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

We show how to build data pipelines using AWS Glue jobs, optimize them for both cost and performance, and implement schema evolution to automate manual tasks. Because a CDC file can contain data for multiple tables, the job loops over the tables in a file and loads the table metadata from the source table ( RDS column names).

Data Lake 101
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Amazon OpenSearch Service Under the Hood : OpenSearch Optimized Instances(OR1)

AWS Big Data

Amazon OpenSearch Service recently introduced the OpenSearch Optimized Instance family (OR1), which delivers up to 30% price-performance improvement over existing memory optimized instances in internal benchmarks, and uses Amazon Simple Storage Service (Amazon S3) to provide 11 9s of durability.

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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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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.

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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

For container terminal operators, data-driven decision-making and efficient data sharing are vital to optimizing operations and boosting supply chain efficiency. From here, the metadata is published to Amazon DataZone by using AWS Glue Data Catalog. This post is co-written by Dr. Leonard Heilig and Meliena Zlotos from EUROGATE.

IoT 101
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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. In this context, Amazon DataZone is the optimal choice for managing the enterprise data platform. Business analysts enhance the data with business metadata/glossaries and publish the same as data assets or data products.

Sales 105
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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

Within the ANZ enterprise data mesh strategy, aligning data mesh nodes with the ANZ Group’s divisional structure provides optimal alignment between data mesh principles and organizational structure, as shown in the following diagram. A data portal for consumers to discover data products and access associated metadata.