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 86

Measurement Metrics Reporting Strategy 86

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

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

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

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 68

Strategy Cost-Benefit Consulting Data-driven 68

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

AWS Big Data

JULY 27, 2023

In this post, we answer that question by using Redshift Test Drive , an open-source tool that lets you evaluate which different data warehouse configurations options are best suited for your workload. Redshift Test Drive uses this process of workload replication for two main functionalities: comparing configurations and comparing replays.

Testing 64

Testing Data Warehouse Data Processing Snapshot 64

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

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 59

Machine Learning Data Science Statistics Deep Learning 59

datapine

FEBRUARY 9, 2024

An even more interesting fact: The blogs we read regularly are not only influenced by KPI management but also concerning content, style, and flow; they’re often molded by the suggestions of these goal-driven metrics. For example, customer satisfaction metrics are used to drive a better customer experience. What Are KPI Best Practices?

KPI 221

KPI Management Key Performance Indicator Measurement 221

AWS Big Data

MARCH 13, 2024

Each service implements k-nearest neighbor (k-NN) or approximate nearest neighbor (ANN) algorithms and distance metrics to calculate similarity. For more information on the choice of index algorithm, refer to Choose the k-NN algorithm for your billion-scale use case with OpenSearch. Outputs[?

Data Processing 110

Data Processing Dashboards Machine Learning Management 110

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

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 76

Snapshot Data Warehouse Data Processing Management 76

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

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

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 116

Machine Learning Data-driven Software Testing 116

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

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

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 68

Management Testing Data Processing Big Data 68

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

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

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

DataRobot Blog

JANUARY 10, 2023

ML model builders spend a ton of time running multiple experiments in a data science notebook environment before moving the well-tested and robust models from those experiments to a secure, production-grade environment for general consumption. A host of open-source libraries. Deep Dive into DataRobot Notebooks. Auto-scale compute.

Experimentation 52

Experimentation Machine Learning Data Science Modeling 52

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

IBM Big Data Hub

NOVEMBER 29, 2023

It provides a control framework that can be easily implemented by using Reference Architectures, Validated Cloud Services and ISVs, as well as the highest levels of encryption and continuous compliance (CC) across the hybrid cloud. Prior to creating the image, the Dockerfile is tested.

Testing 99

Testing Dashboards Risk Data Processing 99

DataRobot Blog

FEBRUARY 2, 2023

DataRobot MLOps services provide a platform for hosting and deploying custom model packages in various ML frameworks such as PyTorch, Tensorflow, ONNX, and sk-learn, allowing organizations to easily integrate their pre-trained models into their existing applications and consume them for their business needs. pip install transformers==4.25.1

Modeling 52

Modeling Machine Learning Data Processing Interactive 52

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

Alation

OCTOBER 28, 2021

Data governance in healthcare refers to how data is collected and used by hospitals, pharmaceutical companies, and other healthcare organizations and service providers. This means establishing and enforcing policies and processes, standards, roles, and metrics. At this point, you should reference back to the goals you set in Step 1.

Data Governance 52

Data Governance Measurement Modeling Metrics 52

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

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

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