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

AWS Big Data

With this new instance family, OpenSearch Service uses OpenSearch innovation and AWS technologies to reimagine how data is indexed and stored in the cloud. Today, customers widely use OpenSearch Service for operational analytics because of its ability to ingest high volumes of data while also providing rich and interactive analytics.

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End-to-end development lifecycle for data engineers to build a data integration pipeline using AWS Glue

AWS Big Data

Data is a key enabler for your business. Many AWS customers have integrated their data across multiple data sources using AWS Glue , a serverless data integration service, in order to make data-driven business decisions.

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Use Apache Iceberg in your data lake with Amazon S3, AWS Glue, and Snowflake

AWS Big Data

Businesses are constantly evolving, and data leaders are challenged every day to meet new requirements. Customers are using AWS and Snowflake to develop purpose-built data architectures that provide the performance required for modern analytics and artificial intelligence (AI) use cases.

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iostudio delivers key metrics to public sector recruiters with Amazon QuickSight

AWS Big Data

Our previous solution offered visualization of key metrics, but point-in-time snapshots produced only in PDF format. Taking care of sensitive data iostudio operates in the AWS GovCloud environment because many of our customers are government agencies. This makes protecting customer data even more important.

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Orca Security’s journey to a petabyte-scale data lake with Apache Iceberg and AWS Analytics

AWS Big Data

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. In this post, we describe Orca’s journey building a transactional data lake using Amazon Simple Storage Service (Amazon S3), Apache Iceberg, and AWS Analytics.

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How IBM HR leverages IBM Watson® Knowledge Catalog to improve data quality and deliver superior talent insights

IBM Big Data Hub

Companies rely heavily on data and analytics to find and retain talent, drive engagement, improve productivity and more across enterprise talent management. However, analytics are only as good as the quality of the data, which must be error-free, trustworthy and transparent. What is data quality? million each year.

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Chose Both: Data Fabric and Data Lakehouse

Cloudera

It sounds straightforward: you just need data and the means to analyze it. The data is there, in spades. Data volumes have been growing for years and are predicted to reach 175 ZB by 2025. First, organizations have a tough time getting their arms around their data. Unified data fabric. Yes and no.