DataKitchen

NOVEMBER 27, 2024

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.

Data Quality

KDnuggets

JUNE 27, 2025

isin(products))] # Display metrics col1, col2, col3 = st.columns(3) col1.metric("Total metric("Total Sales", f"${filtered_df[Sales].sum():,}") metric("Average Sales", f"${filtered_df[Sales].mean(): Try changing the filters in the sidebar — watch how the metrics and data table update automatically! sum():,}") col2.metric("Average

Interactive

DataKitchen

NOVEMBER 5, 2024

Similarly, downstream business metrics in the Gold layer may appear skewed due to missing segments, which can impact high-stakes decisions. An operation to merge customer data across multiple sources might incorrectly aggregate records due to mismatched keys, leading to inflated or deflated metrics in the Silver layer.

Data Quality

KDnuggets

JUNE 23, 2025

It logs parameters, metrics, and files created during tests. Metrics : Performance metrics such as accuracy, precision, recall, or loss values. Monitor Models : Continuously track performance metrics for production models. Experiments can become messy and disorganized. Deployment can also become inefficient.

Modeling

AWS Big Data

NOVEMBER 15, 2024

In this post, we talk about our challenges and show how we built an observability framework to provide operational metrics insights for big data processing workloads on Amazon EMR on Amazon Elastic Compute Cloud (Amazon EC2) clusters. Dynamic environments – EMR clusters are often ephemeral, created and shut down based on workload demands.

Big Data

CIO Business Intelligence

JANUARY 14, 2025

Understanding and tracking the right software delivery metrics is essential to inform strategic decisions that drive continuous improvement. When tied directly to strategic objectives, software delivery metrics become business enablers, not just technical KPIs. This alignment sets the stage for how we execute our transformation.

Enterprise

DataFloq

JULY 28, 2025

Monitoring & Observability For any platform layers, pipeline health, SLA metrics, data governance logs, lineage, audits and error notifications all need to be captured, if the product is to be reliable and if the responsive/federate governed processes can be effective.

Data Lake

CIO Business Intelligence

OCTOBER 30, 2024

Quantum Metric is here to help your business harness the power of Gen AI. As Gen AI capabilities expand, so too will the opportunities for innovation and differentiation. Those who act now will lead the charge, setting new standards for what it means to deliver meaningful, impactful digital experiences in the years to come.

Analytics

AWS Big Data

OCTOBER 25, 2024

Solution overview The solution works by running a Python script on the EMR cluster’s primary node to collect metrics from the YARN resource manager and correlate them with cost usage details from the AWS Cost and Usage Reports (AWS CUR). These metrics are stored in an Amazon Simple Storage Service (Amazon S3) bucket.

Metrics

DataFloq

JULY 8, 2025

This includes naming data stewards, creating quality metrics, and enforcing data ownership. Implement fairness metrics and conduct adversarial testing during model training. Establish Data Governance Frameworks Define roles, responsibilities, and accountability for data across your organization.

Data Quality

KDnuggets

AUGUST 4, 2025

Case Study: Analyzing Failed Ride Orders from Gett In this data project , Gett asks you to analyze failed rider orders by examining key matching metrics to understand why some customers did not successfully get a car. Apply [model type] and report machine learning evaluation metrics like [accuracy, precision, recall, F1-score].

Machine Learning

DataKitchen

JUNE 6, 2025

Quality tests improve productivity, reduce stress, and restore the trust that’s often eroded by broken dashboards, missed alerts, or misaligned metrics. They establish quality metrics, set thresholds, and collaborate with upstream systems to identify and address the root causes of data issues.

Data Quality

AWS Big Data

DECEMBER 5, 2024

Solution overview The MSK clusters in Hydro are configured with a PER_TOPIC_PER_BROKER level of monitoring, which provides metrics at the broker and topic levels. These metrics help us determine the attributes of the cluster usage effectively. We then match these attributes to the relevant MSK metrics available.

Metrics

KDnuggets

JUNE 26, 2025

Advanced quality metrics like data consistency, outlier detection, or schema validation could be added to future versions. You can start with this foundation and gradually add sophisticated features like statistical anomaly detection, custom quality metrics, or integration with your existing MLOps pipeline.

Data Quality

CIO Business Intelligence

OCTOBER 10, 2024

Defining success One of the first steps IT leaders should take in launching an AI pilot project is to define metrics for success — beyond ROI — and set a timeline to check on progress, says Andreas Welsch, an AI consultant and former vice president and head of marketing for AI at SAP.

ROI

CIO Business Intelligence

NOVEMBER 28, 2024

Establish shared reporting and analytics The first step to integrating your security and cloud cost management tools is establishing shared reporting and analytics that unify security and cost metrics on one dashboard. Other options for building dashboards include Azure Monitor or open-source tools such as Grafana or Kibana.

Cost-Benefit

CIO Business Intelligence

DECEMBER 10, 2024

Specify metrics that align with key business objectives Every department has operating metrics that are key to increasing revenue, improving customer satisfaction, and delivering other strategic objectives. Below are five examples of where to start. Gen AI holds the potential to facilitate that.

Sales

AWS Big Data

NOVEMBER 21, 2024

This automatic recovery for primary nodes is also reflected in the MultiMasterInstanceGroupNodesRunning or MultiMasterInstanceGroupNodesRunningPercentage Amazon CloudWatch metric emitted by Amazon EMR for your cluster. The following screenshot shows an example of these metrics.

Metrics

Jen Stirrup

JULY 12, 2025

Data Quality : Are there established metrics and monitoring for data quality? Look for these indicators: Data Accessibility : Can authorized users easily locate and access the data they need? Integration Capability : How quickly can new data sources be incorporated?

Enterprise

CIO Business Intelligence

APRIL 8, 2025

This approach also creates a measurable framework with RTO [recovery time objective] and RPO [recovery point objective] metrics. Resilient systems address multiple threat vectors simultaneously while also aligning with business priorities, he states. This creates an imbalance and a false sense of security, he warns.

Risk Management

AWS Big Data

JANUARY 6, 2025

Refer to API Dimensions & Metrics for details. In Field name , enter the filter start_end_date and choose Next , as shown in the following screenshot.

Analytics

DataKitchen

JULY 31, 2025

Just as product teams rely on analytics dashboards to track user engagement and performance metrics, data teams need comprehensive visibility into their Critical Data Elements. Watch as data elements automatically get flagged as critical based on their usage patterns, business impact, and quality metrics.

Data Governance

Jen Stirrup

JULY 15, 2025

The Gap Between Data and Decisions In today's data-saturated business landscape, organizations are drowning in metrics yet starving for meaning. Traditional approaches to data presentation often suffer from several critical shortcomings: Information overload : Executives don't need more dashboards crowded with every possible metric.

Analytics

KDnuggets

JULY 11, 2025

Instead of optimizing for accuracy metrics, you evaluate creativity, coherence, and usefulness. Concepts like overfitting, generalization, and evaluation metrics translate directly to generative AI, though the specific metrics differ. Probability and Statistics : Generative models are probabilistic systems.

Machine Learning

Jen Stirrup

AUGUST 2, 2025

It's the starting point for any data-driven organization, enabling employees to: Read and understand data visualizations Recognize basic patterns and trends Identify obvious data quality issues Interpret standard reports and metrics However, in today's AI hungry sphere, these skills are no longer sufficient but necessary.

Data-driven

DataKitchen

JULY 8, 2025

Data Platform Owners: Prove your data is trustworthy—with metrics, not vibes. It’s for everyone who touches data: Data Engineers: Automate quality gates into your CI/CD pipelines. Data Quality Leads: Run broad sweeps for usability bugs across all your tables. It doesn’t require rewriting pipelines. It doesn’t need full platform integration.

Scorecard

AWS Big Data

DECEMBER 27, 2024

The following table summarizes the metrics. Metric Amazon EMR 7.5 Metric Amazon EMR 7.5 times better Baseline In addition to the time-based metrics discussed so far, data from Spark event logs show that Amazon EMR scanned approximately 3.4 Metric Amazon EMR 7.5 with Iceberg enabled was 0.42 and Iceberg 1.6.1.

Cost-Benefit

AWS Big Data

JULY 23, 2025

When a critical extract, transform, and load (ETL) pipeline fails or runs slower than expected, engineers end up spending hours navigating through multiple interfaces such as logs or Spark UI, correlating metrics across different systems and manually analyzing execution patterns to identify root causes.

Optimization

CIO Business Intelligence

JANUARY 14, 2025

Many CIOs have work to do here: According to a September 2024 IDC survey, 30% of CIOs acknowledged that they dont know what percentage of their AI proofs of concepts met target KPI metrics or were considered successful something that is likely to doom many AI projects or deem them just for show. What ROI will AI deliver?

Strategy

DataKitchen

JULY 22, 2025

In a functional system, the calculation receives raw transaction data and customer attributes as input and produces CLV metrics as output. In a traditional system, this might depend on cached aggregates or previous run results.

Data Architecture