Remove 2012 Remove Dashboards Remove Metrics Remove Strategy
article thumbnail

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

AWS Big Data

Based on your data retention, query latency, and budgeting requirements, you can choose the best strategy to balance cost and performance. For a list of supported metrics, refer to Monitoring pipeline metrics. CloudWatch alarms perform an action when a CloudWatch metric exceeds a specified value for some amount of time.

Data Lake 117
article thumbnail

A Guide To The Methods, Benefits & Problems of The Interpretation of Data

datapine

6) The Use of Dashboards For Data Interpretation. In fact, a Digital Universe study found that the total data supply in 2012 was 2.8 Business dashboards are the digital age tools for big data. This helps businesses to develop responsive, practical business strategies. 4) Data Analysis & Interpretation Problems.

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

Build a serverless log analytics pipeline using Amazon OpenSearch Ingestion with managed Amazon OpenSearch Service

AWS Big Data

Store and analyze – We can analyze the Apache httpd error logs using OpenSearch Dashboards. Open OpenSearch Dashboards, navigate to Dev Tools , and run the command GET _cat/indices to validate that the data has been delivered by OpenSearch Ingestion to your OpenSearch Service domain.

article thumbnail

Top 14 Must-Read Data Science Books You Need On Your Desk

datapine

Best for: Those looking for a practical means of understanding how artificial intelligence serves to enhance data science and use this knowledge to improve their data analytics strategies. It’s also one of the best books on data science around. A must-explore book for data science that is as intriguing as it is rewarding.

article thumbnail

Getting started guide for near-real time operational analytics using Amazon Aurora zero-ETL integration with Amazon Redshift

AWS Big Data

Challenges Customers across industries today are looking to increase revenue and customer engagement by implementing near-real time analytics use cases like personalization strategies, fraud detection, inventory monitoring, and many more. They would like to get these metrics in near-real time using a zero-ETL integration.

article thumbnail

Best practices to implement near-real-time analytics using Amazon Redshift Streaming Ingestion with Amazon MSK

AWS Big Data

Establish connectivity between an Amazon QuickSight dashboard and Amazon Redshift to deliver visualization and insights. Make sure that data is flowing into your MSK topic using Amazon CloudWatch metrics (for example, BytesOutPerSec ). You can continuously load fresh data by calling the stored procedure at regular intervals.

article thumbnail

Unlock insights on Amazon RDS for MySQL data with zero-ETL integration to Amazon Redshift

AWS Big Data

Challenges Customers across industries today are looking to use data to their competitive advantage and increase revenue and customer engagement by implementing near real time analytics use cases like personalization strategies, fraud detection, inventory monitoring, and many more. The following diagram illustrates this architecture.