Remove Metrics Remove Optimization Remove Testing
article thumbnail

The Race For Data Quality in a Medallion Architecture

DataKitchen

Data is typically organized into project-specific schemas optimized for business intelligence (BI) applications, advanced analytics, and machine learning. Similarly, downstream business metrics in the Gold layer may appear skewed due to missing segments, which can impact high-stakes decisions.

article thumbnail

RocksDB 101: Optimizing stateful streaming in Apache Spark with Amazon EMR and AWS Glue

AWS Big Data

Organizations face mounting pressure to process massive data streams instantaneously—from detecting fraudulent transactions and delivering personalized customer experiences to optimizing complex supply chains and responding to market dynamics milliseconds ahead of competitors. alias("word")).groupby("word").count() groupby("word").count()

Insiders

Sign Up for our Newsletter

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

article thumbnail

Unlock the power of optimization in Amazon Redshift Serverless

AWS Big Data

Although traditional scaling primarily responds to query queue times, the new AI-driven scaling and optimization feature offers a more sophisticated approach by considering multiple factors including query complexity and data volume. Consider using AI-driven scaling and optimization if your current workload requires 32 to 512 base RPUs.

article thumbnail

A Guide to the Six Types of Data Quality Dashboards

DataKitchen

For example, metrics like the percentage of missing values help measure completeness, while deviations from authoritative sources gauge accuracy. These metrics are typically visualized through tools such as heatmaps, pie charts, or bar graphs, making it easy for stakeholders to understand compliance levels across different dimensions.

article thumbnail

How DeNA Co., Ltd. accelerated anonymized data quality tests up to 100 times faster using Amazon Redshift Serverless and dbt

AWS Big Data

Conduct data quality tests on anonymized data in compliance with data policies Conduct data quality tests to quickly identify and address data quality issues, maintaining high-quality data at all times. The challenge Data quality tests require performing 1,300 tests on 10 TB of data monthly.

article thumbnail

Cost Optimized Vector Database: Introduction to Amazon OpenSearch Service quantization techniques

AWS Big Data

To mitigate this issue, various compression techniques can be used to optimize memory usage and computational efficiency. Amazon OpenSearch Service , as a vector database, supports scalar and product quantization techniques to optimize memory usage and reduce operational costs.

article thumbnail

Top Productivity Metrics Examples & KPIs To Measure Performance And Outcomes

datapine

1) What Are Productivity Metrics? 3) Productivity Metrics Examples. 4) The Value Of Workforce Productivity Metrics. Your Chance: Want to test a professional KPI tracking software? What Are Productivity Metrics? In shorter words, productivity is the effectiveness of output; metrics are methods of measurement.