article thumbnail

Disaster recovery strategies for Amazon MWAA – Part 1

AWS Big Data

This makes it difficult to implement a comprehensive DR strategy. Within Airflow, the metadata database is a core component storing configuration variables, roles, permissions, and DAG run histories. A healthy metadata database is therefore critical for your Airflow environment.

Strategy 102
article thumbnail

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

datapine

6) Data Quality Metrics Examples. There are a lot of strategies that you can use to improve the quality of your information. Reporting being part of an effective DQM, we will also go through some data quality metrics examples you can use to assess your efforts in the matter. Table of Contents. 2) Why Do You Need DQM?

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Amazon CloudWatch metrics for Amazon OpenSearch Service storage and shard skew health

AWS Big Data

When working with OpenSearch Service, shard strategy is key. In this post, we explore how to deploy Amazon CloudWatch metrics using an AWS CloudFormation template to monitor an OpenSearch Service domain’s storage and shard skew. This allows write access to CloudWatch metrics and access to the CloudWatch log group and OpenSearch APIs.

Metrics 93
article thumbnail

7 enterprise data strategy trends

CIO Business Intelligence

Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. Here’s a quick rundown of seven major trends that will likely reshape your organization’s current data strategy in the days and months ahead.

article thumbnail

As insurers look to be more agile, data mesh strategies take centerstage

CIO Business Intelligence

Ever-shifting domain-level business logic and architectures add to the workload of overwhelmed central data teams, which results in difficult, misaligned metric reporting and declining data reliability. Stakeholders are currently waging an open debate across the industry of centralization versus federated data strategies.

article thumbnail

Introducing Amazon MWAA larger environment sizes

AWS Big Data

Running Apache Airflow at scale puts proportionally greater load on the Airflow metadata database, sometimes leading to CPU and memory issues on the underlying Amazon Relational Database Service (Amazon RDS) cluster. A resource-starved metadata database may lead to dropped connections from your workers, failing tasks prematurely.

article thumbnail

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

AWS Big Data

The following figure shows some of the metrics derived from the study. In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. Your analytics strategy applies to the wider organizational needs, not just C360.