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Petabyte-scale log analytics with Amazon S3, Amazon OpenSearch Service, and Amazon OpenSearch Ingestion

AWS Big Data

At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. With this massive data growth, data proliferation across your data stores, data warehouse, and data lakes can become equally challenging. Example Corp.

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Announcing Alation 4.0 with Alation Connect

Alation

But it is the contextual usage information of data that is critical to answer data consumers’ and stewards’ questions. Cataloging both data and queries provides insight into. How recently the data was used. How recently the data was updated. What the mapping is of technical metadata to business descriptions.

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How Cargotec uses metadata replication to enable cross-account data sharing

AWS Big Data

They chose AWS Glue as their preferred data integration tool due to its serverless nature, low maintenance, ability to control compute resources in advance, and scale when needed. To share the datasets, they needed a way to share access to the data and access to catalog metadata in the form of tables and views.

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Build SAML identity federation for Amazon OpenSearch Service domains within a VPC

AWS Big Data

Refer to How can I access OpenSearch Dashboards from outside of a VPC using Amazon Cognito authentication for a detailed evaluation of the available options and the corresponding pros and cons. For more information, refer to the AWS CDK v2 Developer Guide. For instructions, refer to Creating a public hosted zone.

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Boosting Object Storage Performance with Ozone Manager

Cloudera

It is a replicated, highly-available service that is responsible for managing the metadata for all objects stored in Ozone. As Ozone scales to exabytes of data, it is important to ensure that Ozone Manager can perform at scale. Cisco has multiple reference architectures for running Ozone.

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Design a data mesh on AWS that reflects the envisioned organization

AWS Big Data

Cost and resource efficiency – This is an area where Acast observed a reduction in data duplication, and therefore cost reduction (in some accounts, removing the copy of data 100%), by reading data across accounts while enabling scaling. In this approach, teams responsible for generating data are referred to as producers.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

Profile aggregation – When you’ve uniquely identified a customer, you can build applications in Managed Service for Apache Flink to consolidate all their metadata, from name to interaction history. Then, you transform this data into a concise format.