datapine

MARCH 22, 2019

Read here how these metrics can drive your customers’ satisfaction up! Customer satisfaction metrics evaluate how the products or services supplied by a company meet or surpass a customer’s expectations. These metrics are crucial to any business’s long-term success. Top 3 Customer Satisfaction Metrics.

Metrics 134

Metrics Dashboards Measurement Interactive 134

AWS Big Data

MARCH 6, 2024

The account on the right hosts the pseudonymization service, which you can deploy using the instructions provided in the Part 1 of this series. For an overview of how to build an ACID compliant data lake using Iceberg, refer to Build a high-performance, ACID compliant, evolving data lake using Apache Iceberg on Amazon EMR.

Metrics 93

Metrics Statistics Testing Data Lake 93

AWS Big Data

OCTOBER 11, 2023

Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities. These metrics help agents improve their call handle time and also reallocate agents across organizations to handle pending calls in the queue. We use two datasets in this post.

Management 104

Management Metadata Analytics Dashboards 104

AWS Big Data

FEBRUARY 13, 2023

In this post, we discuss how you can use Amazon Managed Service for Prometheus and Amazon Managed Grafana to monitor, alert, and visualize HBase metrics. HBase has built-in support for exporting metrics via the Hadoop metrics subsystem to files or Ganglia or via JMX. For instructions, refer to Enable IAM Identity Center.

Management 74

Management Metrics Dashboards Big Data 74

AWS Big Data

JUNE 19, 2023

In this post, we walk you through the step-by-step implementation of setting up Kafka quotas in an MSK cluster while using IAM access control and testing them through sample client applications. Additionally, we create four EC2 instances to make configuration changes to the MSK cluster and host producer and consumer client applications.

Metrics 72

Metrics Management Testing Publishing 72

AWS Big Data

JUNE 14, 2023

This post focuses on how to properly size your MSK tiered storage cluster, which metrics to monitor, and the best practices to consider when running a production workload. In practice, the workloads may be bottlenecked by other broker resources like CPU, memory, and disk, so it’s important to do load tests.

Metrics 81

Metrics Cost-Benefit Testing Optimization 81

IBM Big Data Hub

FEBRUARY 8, 2024

It refers to a set of metrics used to measure an organization’s environmental and social impact and has become increasingly important in investment decision-making over the years. In response, asset managers began to develop ESG strategies and metrics to measure the environmental and social impact of their investments.

Measurement 87

Measurement Metrics Reporting Strategy 87

AWS Big Data

FEBRUARY 26, 2024

The content includes a reference architecture, a step-by-step guide on infrastructure setup, sample code for implementing the solution within a use case, and an AWS Cloud Development Kit (AWS CDK) application for deployment. For detailed instructions on configuring DLQs, refer to Dead-letter queues. Choose the Test tab.

Dashboards 62

Dashboards Testing Metrics Optimization 62

AWS Big Data

JUNE 8, 2023

For instructions, refer to Creating and managing Amazon OpenSearch Service domains. For Host , enter events.PagerDuty.com. This provides a query to retrieve metrics related to the cluster health. For Monitor type , select Per cluster metrics monitor. A PagerDuty account with access to create a service and integration.

Data Lake 76

Data Lake Dashboards Metrics Testing 76

Cloudera

FEBRUARY 28, 2024

You use the aliases to refer to clusters when configuring properties and when running the srm-control tool. This property specifies the cluster that the SRM service role will gather replication metrics from (i.e. This can be done using the kafka-producer-perf-test CLI tool. Using SSH, log in to one of your source cluster hosts.

Management 69

Management Testing Data Processing Big Data 69

AWS Big Data

MAY 2, 2023

If your updates to a dataset triggers multiple subsequent DAGs, then you can use the Airflow metric max_active_tasks_per_dag to control the parallelism of the consumer DAG and reduce the chance of overloading the system. The workflow steps are as follows: The producer DAG makes an API call to a publicly hosted API to retrieve data.

Testing 100

Testing Experimentation Management Metadata 100

datapine

MARCH 4, 2020

Here, we will consider the question ‘ What are operational reports,’ delve deeper into strategic reports, and examine a host of best operational reporting analysis practices. By working with a monthly report, it’s possible to create a sense of fluency and cohesion throughout the business by looking at metrics aimed at the midterm.

Operational Reporting 169

Operational Reporting Reporting KPI Dashboards 169

datapine

JUNE 18, 2019

We live in a data-driven age, and the ability to use financial insights and metrics to your advantage will set you apart from the pack. Our monthly reports are on top illustrated with beautiful data visualizations that provide a better understanding of the metrics tracked. The reporting tools to do that exist for that very purpose.

Reporting 251

Reporting Metrics KPI Finance 251

AWS Big Data

JUNE 15, 2023

To learn how to create a topic , refer to Creating Amazon QuickSight Q topics. To learn how to embed the Q bar, refer to Embedding the Amazon QuickSight Q search bar for registered users or anonymous (unregistered) users. To see examples of embedded dashboards with Q, refer to the QuickSight DemoCentral.

Sales 66

Sales Dashboards Visualization Testing 66

AWS Big Data

MARCH 19, 2024

For more details, refer to Monitoring for DPU capacity planning. For more details, refer to Monitoring jobs using the Apache Spark web UI. For more information, refer to Introducing AWS Glue Auto Scaling: Automatically resize serverless computing resources for lower cost with optimized Apache Spark. 26 and 172.30.0.64/26.

Optimization 87

Optimization Data-driven Management Testing 87

AWS Big Data

JANUARY 9, 2024

It similarly codes the query as a vector and then uses a distance metric to find nearby vectors in the multi-dimensional space to find matches. To learn more about semantic search and cross-modal search and experiment with a demo of the Compare Search Results tool, refer to Try semantic search with the Amazon OpenSearch Service vector engine.

Cost-Benefit 91

Cost-Benefit Visualization Modeling Machine Learning 91

datapine

MAY 17, 2021

Without a doubt, the best way to drive maximum value from the metrics, insights, and information is through something called data discovery. Your Chance: Want to test a professional data discovery tool for free? Your Chance: Want to test a professional data discovery tool for free? We offer a 14 day free trial.

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

datapine

SEPTEMBER 16, 2022

Now that you’re sold on the power of data analytics in addition to data-driven BI, it’s time to take your journey a step further by exploring how to effectively communicate vital metrics and insights in a concise, inspiring, and accessible format through the power of visualization. back on every dollar spent.

Visualization 304

Visualization Dashboards Data-driven Statistics 304

IBM Big Data Hub

NOVEMBER 30, 2023

Talent acquisition refers to the ongoing strategy and process an organization and its HR department uses to source, attract, evaluate, hire and retain the highly-qualified new employees it needs to grow. Measure impact: Use analytics and metrics to assess the effectiveness of branding efforts.

Strategy 69

Strategy Cost-Benefit Consulting Data-driven 69

The Unofficial Google Data Science Blog

JULY 17, 2018

Alternatively, guidance and insight may be delivered below the executive level to product managers and engineering leads, directing product feature development via metrics and A/B experiments. These snapshots comprise what we refer to as our search index.

Data Science 85

Data Science Snapshot Data Processing Optimization 85

AWS Big Data

MARCH 9, 2023

A dimension is a structure that captures reference data along with associated hierarchies, while a fact table captures different values and metrics that can be aggregated by dimensions. The star schema data model allows analytical users to query historical data tying metrics to corresponding dimensional attribute values over time.

Slice and Dice 79

Slice and Dice Data Warehouse Metrics Metadata 79

AWS Big Data

JULY 26, 2023

The vector engine supports the popular distance metrics such as Euclidean, cosine similarity, and dot product, and can accommodate 16,000 dimensions, making it well-suited to support a wide range of foundational and other AI/ML models. You can choose to host your collection on a public endpoint or within a VPC.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

O'Reilly on Data

MARCH 31, 2020

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. This has serious implications for software testing, versioning, deployment, and other core development processes.

Management 332

Management Machine Learning Experimentation Metrics 332

The Unofficial Google Data Science Blog

JULY 18, 2023

Once we’ve answered that, we will then define and use metrics to understand the quality of human-labeled data, along with a measurement framework that we call Cross-replication Reliability or xRR. We will follow the example of Janson and Olsson , and start from this generalized definition of the metric, which they call iota.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

AWS Big Data

NOVEMBER 16, 2023

Building a starter version of anything can often be straightforward, but building something with enterprise-grade scale, security, resiliency, and performance typically requires knowledge and adherence to battle-tested best practices, and using the right tools and features in the right scenario. system implemented with Amazon Redshift.

Enterprise 83

Enterprise Data Warehouse Snapshot Cost-Benefit 83

datapine

FEBRUARY 23, 2023

Distribution: In statistics, distribution refers to the possibility of the occurrence of an outcome. Comparison: As its name suggests, this category refers to the comparison of multiple variables or multiple categories within a single variable. Your Chance: Want to test modern data visualization software for free?

Visualization 177

Visualization Dashboards Sales Measurement 177

datapine

MARCH 20, 2019

Utilizing financial data with the help of online data analysis tools allows you to not only share vital information both internally and externally but also leverage metrics or insights to make significant improvements to the very area that allows your business to flow. Download right here your bite-sized summary of the finance world!

Reporting 248

Reporting Finance Snapshot Dashboards 248

IBM Big Data Hub

JULY 6, 2023

Other challenges include communicating results to non-technical stakeholders, ensuring data security, enabling efficient collaboration between data scientists and data engineers, and determining appropriate key performance indicator (KPI) metrics. An e-commerce conglomeration uses predictive analytics in its recommendation engine.

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

Insight

MARCH 25, 2019

Design and code to deploy a self-hosted content delivery network. a self-hosted CDN based on Kubernetes. kubeCDN is a self-hosted content delivery network based on Kubernetes. As a self-hosted solution, you maintain complete control over your infrastructure. Check it out on GitHub: [link].

Data Processing 106

Data Processing Cost-Benefit Optimization Metrics 106

datapine

OCTOBER 14, 2020

Your Chance: Want to test interactive dashboard software for free? An interactive dashboard is a data management tool that tracks, analyzes, monitors, and visually displays key business metrics while allowing users to interact with data, enabling them to make well-informed, data-driven, and healthy business decisions. 3) Drilldowns.

Dashboards 235

Dashboards Interactive Reporting KPI 235

AWS Big Data

FEBRUARY 21, 2023

Reliable computing infrastructure – The reliability of the computing infrastructure hosting Spark applications is the foundation of the whole Spark platform. The other issue we encountered was the unnecessary installation of all Python packages referred by the wheel files for every Spark application initialization.

Cost-Benefit 56

Cost-Benefit Informatics Optimization Management 56

Cloudera

JUNE 6, 2019

The typical Cloudera Enterprise Data Hub Cluster starts with a few dozen nodes in the customer’s datacenter hosting a variety of distributed services. We sometimes refer to this as splitting “dev/test” from “production” workloads, but we can generalize the approach by referring to the overall priority of the workload for the business.

Metadata 85

Metadata Data Lake Optimization Strategy 85

IBM Big Data Hub

APRIL 8, 2024

Refer to the Amazon RDS for Db2 pricing page for instances supported. Are there any constraints on the number of databases that can be hosted on an instance? If you require hosting multiple databases per instance, connect with an IBM or AWS representative to discuss your needs and request a proof of concept.   13.

Snapshot 77

Snapshot Data Warehouse Data Processing Management 77

Jet Global

MAY 1, 2023

As a result, end users can better view shared metrics (backed by accurate data), which ultimately drives performance. When treating a patient, a doctor may wish to study the patient’s vital metrics in comparison to those of their peer group. They can also create custom calculations and metrics, and build new data visualizations.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

IBM Big Data Hub

NOVEMBER 13, 2023

Kubernetes, also referred to as K8s, was specifically created to address these challenges by automating the management of containerized applications. Kubernetes can also run on bare metal servers and virtual machines (VMs) in private cloud, hybrid cloud and edge settings, provided the host OS is a version of Linux or Windows.

Machine Learning 118

Machine Learning Data-driven Software Testing 118

O'Reilly on Data

JANUARY 17, 2023

” I, thankfully, learned this early in my career, at a time when I could still refer to myself as a software developer. If you’re a professional data scientist, you already have the knowledge and skills to test these models. Is autoML the bait for long-term model hosting? Get your results in a few hours.

Machine Learning 325

Machine Learning Predictive Modeling Software Modeling 325

Occam's Razor

JULY 12, 2010

Please click on the above image for a higher resolution version , including all the other metrics.]. I love the data you saw in the very first screenshot, and I absolutely love this… [Please click on the above image for a higher resolution version , including all the other metrics.]. Say it ain't so! :). Why is this cool?

Analytics 96

Analytics Measurement Metrics KPI 96