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Amazon OpenSearch Service search enhancements: 2023 roundup

AWS Big Data

Now users seek methods that allow them to get even more relevant results through semantic understanding or even search through image visual similarities instead of textual search of metadata. We are excited about the OpenSearch Service features and enhancements we’ve added to that toolkit in 2023.

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Migrate an existing data lake to a transactional data lake using Apache Iceberg

AWS Big Data

Amazon S3 allows you to access diverse data sets, build business intelligence dashboards, and accelerate the consumption of data by adopting a modern data architecture or data mesh pattern on Amazon Web Services (AWS). In this method, the metadata are recreated in an isolated environment and colocated with the existing data files.

Data Lake 103
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2023 Predictions: Data Trends That Will Dominate Business Agenda in APAC

Cloudera

As more industries mature digitally and widely adopt AI and machine learning technologies, 2023 will be a pivotal year for organizations looking to deploy emerging tech solutions company-wide to fulfill business objectives. These features provide businesses with a common metadata, security, and governance model across all their data.

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Enhance monitoring and debugging for AWS Glue jobs using new job observability metrics, Part 3: Visualization and trend analysis using Amazon QuickSight

AWS Big Data

Grafana provides powerful customizable dashboards to view pipeline health. QuickSight makes it straightforward for business users to visualize data in interactive dashboards and reports. An AWS Glue crawler scans data on the S3 bucket and populates table metadata on the AWS Glue Data Catalog.

Metrics 106
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Implement a full stack serverless search application using AWS Amplify, Amazon Cognito, Amazon API Gateway, AWS Lambda, and Amazon OpenSearch Serverless

AWS Big Data

OpenSearch Serverless also supports OpenSearch Dashboards, which provides an intuitive interface for analyzing data. The Lambda function queries OpenSearch Serverless and returns the metadata for the search. Based on metadata, content is returned from Amazon S3 to the user. Molly Wu is an Associate Cloud Developer at AWS.

Metadata 108
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Petabyte-scale log analytics with Amazon S3, Amazon OpenSearch Service, and Amazon OpenSearch Ingestion

AWS Big Data

This zero-ETL integration is configurable within OpenSearch Service, where you can take advantage of various log type templates, including predefined dashboards, and configure data accelerations tailored to that log type. After you set up your tables, you can query your data in your S3 data lake through OpenSearch Dashboards.

Data Lake 114
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Use Apache Iceberg in a data lake to support incremental data processing

AWS Big Data

Apache Iceberg is an open table format for very large analytic datasets, which captures metadata information on the state of datasets as they evolve and change over time. Apache Iceberg addresses customer needs by capturing rich metadata information about the dataset at the time the individual data files are created.

Data Lake 119