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Introducing a new unified data connection experience with Amazon SageMaker Lakehouse unified data connectivity

AWS Big Data

Third, some services require you to set up and manage compute resources used for federated connectivity, and capabilities like connection testing and data preview arent available in all services. To solve for these challenges, we launched Amazon SageMaker Lakehouse unified data connectivity. For Add data source , choose Add connection.

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The DataOps Vendor Landscape, 2021

DataKitchen

Download the 2021 DataOps Vendor Landscape here. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. QuerySurge – Continuously detect data issues in your delivery pipelines. Azure Repos – Unlimited, cloud-hosted private Git repos. .

Testing 304
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Amazon OpenSearch Service Under the Hood : OpenSearch Optimized Instances(OR1)

AWS Big Data

In this post, we discuss how the reimagined data flow works with OR1 instances and how it can provide high indexing throughput and durability using a new physical replication protocol. We also dive deep into some of the challenges we solved to maintain correctness and data integrity.

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Use AWS Glue to streamline SFTP data processing

AWS Big Data

In today’s data-driven world, seamless integration and transformation of data across diverse sources into actionable insights is paramount. Access to an SFTP server with permissions to upload and download data. Big Data and ETL Solutions Architect, MWAA and AWS Glue ETL expert. Choose Store a new secret.

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Stream data to Amazon S3 for real-time analytics using the Oracle GoldenGate S3 handler

AWS Big Data

In this post, we provide a step-by-step guide for installing and configuring Oracle GoldenGate for streaming data from relational databases to Amazon Simple Storage Service (Amazon S3) for real-time analytics using the Oracle GoldenGate S3 handler. Now you can install the dependencies required for the REPLICAT to run.

Analytics 111
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Design a data mesh pattern for Amazon EMR-based data lakes using AWS Lake Formation with Hive metastore federation

AWS Big Data

The producer account will host the EMR cluster and S3 buckets. The catalog account will host Lake Formation and AWS Glue. The consumer account will host EMR Serverless, Athena, and SageMaker notebooks. Sample data downloaded to the S3 bucket. It is recommended to use test accounts. VPC with the CIDR 10.0.0.0/16.

Data Lake 116
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How to accelerate your data monetization strategy with data products and AI

IBM Big Data Hub

Additionally, by managing the data product as an isolated unit it can have location flexibility and portability — private or public cloud — depending on the established sensitivity and privacy controls for the data. Popular service consumption types include download, API and streaming.

Strategy 103