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Modernize a legacy real-time analytics application with Amazon Managed Service for Apache Flink

AWS Big Data

Organizations with legacy, on-premises, near-real-time analytics solutions typically rely on self-managed relational databases as their data store for analytics workloads. We introduce you to Amazon Managed Service for Apache Flink Studio and get started querying streaming data interactively using Amazon Kinesis Data Streams.

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

AWS Big Data

In this blog, we discuss the technical challenges faced by Cargotec in replicating their AWS Glue metadata across AWS accounts, and how they navigated these challenges successfully to enable cross-account data sharing. Solution overview Cargotec required a single catalog per account that contained metadata from their other AWS accounts.

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

AWS Big Data

Designing for high throughput with 11 9s of durability OpenSearch Service manages tens of thousands of OpenSearch clusters. The following diagram illustrates the recovery flow in OR1 instances OR1 instances persist not only the data, but the cluster metadata like index mappings, templates, and settings in Amazon S3.

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What you need to know about product management for AI

O'Reilly on Data

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools.

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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

1) What Is Data Quality Management? However, with all good things comes many challenges and businesses often struggle with managing their information in the correct way. Enters data quality management. What Is Data Quality Management (DQM)? Why Do You Need Data Quality Management? Table of Contents.

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Orchestrate an end-to-end ETL pipeline using Amazon S3, AWS Glue, and Amazon Redshift Serverless with Amazon MWAA

AWS Big Data

Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a managed orchestration service for Apache Airflow that you can use to set up and operate data pipelines in the cloud at scale. By using multiple AWS accounts, organizations can effectively scale their workloads and manage their complexity as they grow.

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Use Amazon OpenSearch Ingestion to migrate to Amazon OpenSearch Serverless

AWS Big Data

Customers prefer to let the service manage its capacity automatically rather than having to manually provision capacity. OSI is a fully managed, serverless data collector that delivers real-time log, metric, and trace data to OpenSearch Service domains and OpenSearch Serverless collections.