AWS Big Data

AUGUST 21, 2023

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. An OpenSearch Service domain. Choose Next.

Metrics 90

Metrics Testing Strategy Metadata 90

datapine

SEPTEMBER 29, 2022

6) Data Quality Metrics Examples. 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. The data quality analysis metrics of complete and accurate data are imperative to this step. Table of Contents. 2) Why Do You Need DQM?

Data Quality 241

Data Quality Metrics Data-driven Management 241

AWS Big Data

NOVEMBER 3, 2023

In this post, we explore how to combine AWS Glue usage information and metrics with centralized reporting and visualization using QuickSight. You have metrics available per job run within the AWS Glue console, but they don’t cover all available AWS Glue job metrics, and the visuals aren’t as interactive compared to the QuickSight dashboard.

Metrics 85

Metrics Dashboards Metadata Visualization 85

Cloudera

JULY 21, 2022

Cloudera has partnered with Rill Data, an expert in metrics at any scale, as Cloudera’s preferred ISV partner to provide technical expertise and support services for Apache Druid customers. Deploying metrics shouldn’t be so hard. Intuitive metrics, simple design. Co-author: Mike Godwin, Head of Marketing, Rill Data.

Metrics 84

Metrics Slice and Dice Data Warehouse Dashboards 84

CIO Business Intelligence

MARCH 11, 2022

for the first in-person event. “I that night from one of the women at that event,” says the CEO of Lamoreaux Search, a boutique executive search firm that specializes in presenting diverse slates of IT candidates. But I’m very mission-driven, and I do a lot of my sourcing from philanthropic events. Does that even matter?

Metrics 99

Metrics Software IT Management 99

Srividya Sridharan

APRIL 21, 2020

Before we drown in dashboard dystopia, let’s swing the pendulum back to create meaningful metrics and measurement that will move your business forward and at the same time drive the outcomes that your customers want.

Measurement 106

Measurement Metrics Dashboards Marketing 106

AWS Big Data

JUNE 19, 2023

When it comes to near-real-time analysis of data as it arrives in Security Lake and responding to security events your company cares about, Amazon OpenSearch Service provides the necessary tooling to help you make sense of the data found in Security Lake. Under Log and event sources , specify what the subscriber is authorized to ingest.

Publishing 83

Publishing Dashboards Visualization Management 83

AWS Big Data

JUNE 6, 2023

It’s important for business users to be able to see quality scores and metrics to make confident business decisions and debug data quality issues. It provides insights and metrics related to the performance and effectiveness of data quality processes. We can analyze the data quality score and metrics using Athena SQL queries.

Data Quality 70

Data Quality Metrics Visualization Dashboards 70

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. Some examples for triggering event data include time since signup for a product, or complete user onboarding.

Metrics 134

Metrics Dashboards Measurement Interactive 134

BizAcuity

FEBRUARY 15, 2019

Sales Analytics in Event Industry – A Perspective View. In the event industry, respondents are recognizing the importance of leveraging tools to streamline their attendees’ experiences with already existing event technologies. Image Source: [link]. It can help the wider company management team in making better decisions.

Sales 67

Sales Analytics B2B ROI 67

The Unofficial Google Data Science Blog

AUGUST 27, 2019

by YI LIU Importance sampling is used to improve precision in estimating the prevalence of some rare event in a population. Of course, any mistakes by the reviewers would propagate to the accuracy of the metrics, and the metrics calculation should take into account human errors.

Metrics 98

Metrics Statistics Uncertainty Optimization 98

BizAcuity

FEBRUARY 22, 2019

Financial analytics is becoming an important and inherent part of software applications that are being used by event industry. The emergence of new business models, the changing needs of the traditional financial departments of event industry and advancements in technology have all led to the need for financial analytics.

Analytics 75

Analytics Cost-Benefit Finance Sales 75

Rocket-Powered Data Science

JULY 21, 2023

My strong interest hasn’t diminished, and neither has Splunk’s developments and product releases in that space, as seen in observability’s prominent mention within many of Splunk’s announcements at this year’s.conf23 event.

Machine Learning 189

Machine Learning Metrics Reporting Internet of Things 189

AWS Big Data

MARCH 28, 2024

Managed Service for Apache Flink manages the underlying Apache Flink components that provide durable application state, metrics, logs, and more, and Kinesis enables you to cost-effectively process streaming data at any scale. Watermarks A watermark is a mechanism used to track and measure the progress of event time in a data stream.

Management 79

Management Broadcasting IoT Metrics 79

David Menninger's Analyst Perspectives

MARCH 23, 2023

Existing tools and dashboards are effective for observing standard metrics; however, they do not address follow-up questions, such as why things are happening or how those events impact performance. Organizations also struggle to derive complete value from big data.

Machine Learning 130

Machine Learning Metrics Dashboards Big Data 130

IBM Big Data Hub

FEBRUARY 15, 2024

Observability comprises a range of processes and metrics that help teams gain actionable insights into a system’s internal state by examining system outputs. The primary data classes used—known as the three pillars of observability—are logs, metrics and traces.

Metrics 72

Metrics Key Performance Indicator Snapshot KPI 72

Corinium

JANUARY 21, 2020

We are pleased to be working with our media partner, IQ International on our Chief Data & Analytics Officer Brisbane event, where they will be sharing some of their work in developing best practice data quality metrics for every industry. We will be joined by Dan Myers (USA), President at IQ International.

Data Quality 195

Data Quality Metrics Analytics 195

Rocket-Powered Data Science

JULY 19, 2023

using high-dimensional data feature space to disambiguate events that seem to be similar, but are not). In fact, anytime that any streaming data monitoring metric shows higher than usual volatility, this may be an indicator that the monitored thing requires some attention, an investigation, and possibly an intervention.

Data-driven 186

Data-driven Enterprise Analytics Machine Learning 186

CIO Business Intelligence

SEPTEMBER 21, 2023

What’s on your data dashboard as the most important metrics? From an IT security perspective, dashboards of the past were traditionally used to indicate metrics like system status (i.e., online, offline) or uptime; however, the most important metrics today are those that indicate abnormal trends or indications of compromise.

Recreation/Entertainment 102

Recreation/Entertainment Metrics Dashboards Technology 102

Srividya Sridharan

APRIL 21, 2020

Before we drown in dashboard dystopia, let’s swing the pendulum back to create meaningful metrics and measurement that will move your business forward and at the same time drive the outcomes that your customers want.

Measurement 40

Measurement Metrics Dashboards Marketing 40

Cloudera

JANUARY 17, 2024

It allows developers to interactively design data flows in a drag and drop designer, which can be deployed as continuously running, auto-scaling flow deployments or event-driven serverless functions. In this blog we will dive into how CDF-PC’s support for NiFi reporting tasks can be used to monitor key metrics in Prometheus and Grafana.

Metrics 102

Metrics Dashboards Reporting Key Performance Indicator 102

AWS Big Data

OCTOBER 25, 2023

Although this walkthrough uses VPC flow log data, the same pattern applies for use with AWS CloudTrail , Amazon CloudWatch , any log files as well as any OpenTelemetry events, and custom producers. Create an S3 bucket for storing archived events, and make a note of S3 bucket name. Set up an OpenSearch Service domain.

Analytics 119

Analytics Data Processing Optimization Metrics 119

AWS Big Data

SEPTEMBER 22, 2023

In our infrastructure, Apache Kafka has emerged as a powerful tool for managing event streams and facilitating real-time data processing. Kafka plays a central role in the Stitch Fix efforts to overhaul its event delivery infrastructure and build a self-service data integration platform.

Management 101

Management Metrics Cost-Benefit Data Lake 101

DataKitchen

NOVEMBER 18, 2022

As he thinks through the various journeys that data take in his company, Jason sees that his dashboard idea would require extracting or testing for events along the way. So, the only way for a data journey to truly observe what’s happening is to get his tools and pipelines to auto-report events. An event or rules engine.

Testing 130

Testing Statistics Measurement Metrics 130

IBM Big Data Hub

APRIL 15, 2024

Furthermore, organization-wide campaigns can reinforce the notion of a positive culture, involving activities like establishing a network of cybersecurity champions or hosting awareness months with diverse events. It’s crucial to establish a comprehensive set of metrics capable of measuring risk reduction and overall program success.

Metrics 93

Metrics Measurement Risk Data Processing 93

Occam's Razor

SEPTEMBER 24, 2012

FBe's recommendation was (paraphrasing a 35 min talk): Don't invent new metrics, use online versions of Reach and GRPs to measure success. Because we don't understand the uniqueness, we fall back on profoundly sub-optimal old world metrics like Reach or Online GRP equivalents. Metrics are a problem.

Advertising 165

Advertising ROI Metrics Marketing 165

AWS Big Data

MARCH 25, 2024

Another example is an AI-driven observability and monitoring solution where FMs monitor real-time internal metrics of a system and produces alerts. When the model finds an anomaly or abnormal metric value, it should immediately produce an alert and notify the operator. Streaming storage provides reliable storage for streaming data.

Data Lake 88

Data Lake Unstructured Data Management Modeling 88

AWS Big Data

JANUARY 16, 2024

Detect disasters in the primary environment: Proactive monitoring through metrics and alarms Prompt detection of disasters in the primary environment is crucial for timely disaster recovery. Monitoring the Amazon CloudWatch SchedulerHeartbeat metric provides insights into Airflow health of an active Amazon MWAA environment.

Strategy 99

Strategy Metadata Metrics Dashboards 99

CIO Business Intelligence

MARCH 12, 2024

Invoke the what-if fear factor Preemptive project funding and prioritization usually falls short because of other, more pressing project priorities that are pushed forward because the likelihood of the preemptive event happening is small. In 2024, LinkedIn surveys show that half of all Americans want to change jobs.

ROI 117

ROI IT Manufacturing Metrics 117

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. Agent states are reported in agent-state events.

Management 103

Management Metadata Analytics Dashboards 103

BA Learnings

OCTOBER 3, 2021

Events A circle, commonly at the beginning and end of a process, but also possible elsewhere. Capable of coming in various places, events are either milestones in a process, or actions outside of the process’ control. Throwing events, in contrast, are events that possess and produce an output that may or may not exit the process.

Metrics 130

Metrics Measurement Modeling Software 130

AWS Big Data

SEPTEMBER 8, 2023

The EBS volume performance metric is defined by the following two key parameters. The ThroughputThrottle metric for the domain or node can be seen in the Amazon CloudWatch console at the following location. The following metrics provides the read and write throughput for the data node in the Amazon Opensearch Service domain.

Management 89

Management Metrics Measurement Unstructured Data 89

AWS Big Data

AUGUST 30, 2023

In this post, we demonstrate how to publish detailed Spark metrics from Amazon EMR to Amazon CloudWatch. By default, Amazon EMR sends basic metrics to CloudWatch to track the activity and health of a cluster. Solution overview This solution includes Spark configuration to send metrics to a custom sink.

Metrics 92

Metrics Dashboards Publishing Optimization 92

IBM Big Data Hub

NOVEMBER 29, 2023

Exploring “what-if” scenarios or new business events using synthetic data synthesized from agent-based simulations. Here are two common metrics that, while not comprehensive, serve as a solid foundation: Leakage score : This score measures the fraction of rows in the synthetic dataset that are identical to the original dataset.

Metrics 86

Metrics Machine Learning Risk Statistics 86

AWS Big Data

MAY 3, 2023

Today, AWS is announcing the new deployment option Multi-AZ with Standby for OpenSearch Service, which helps you offload some of that heavy lifting in terms of high frequency monitoring, fast failure detection, and quick recovery from failure, and keeps your domains available and performant even in the event of an infrastructure failure.

Recreation/Entertainment 96

Recreation/Entertainment Metrics Cost-Benefit Management 96

AWS Big Data

AUGUST 9, 2023

These event changes are also routed to the same SNS topic. SNS topic – An SNS topic that serves to catch all state events from the data lake. Athena database – The database where the monitoring metrics are persisted for analysis. We have used an SNS topic for routing both success and failure states for the Lambda-based tasks.

Data Lake 86

Data Lake Metrics Testing Cost-Benefit 86

AWS Big Data

FEBRUARY 12, 2024

In this use case, Gupshup is heavily relying on Amazon Redshift as their data warehouse to process billions of streaming events every month, performing intricate data-pipeline-like operations on such data and incrementally maintaining a hierarchy of aggregations on top of raw data.

Data Warehouse 98

Data Warehouse Analytics Snapshot Cost-Benefit 98