Ontotext

DECEMBER 22, 2021

The situation is much worse if the vulnerable library (in this case Apache Log4j) is widespread in thousands of applications such as Elasticsearch, Apache Solr, Apache SPARK and a very long list of commercial software using the same library. What is the impact on GraphDB software? Java 11 – 11.0.2. graphdb-ee-9.10.1 Conclusion.

Testing 52

Testing Software Reporting IT 52

Smart Data Collective

MARCH 5, 2022

You might have an easier time reverse engineering this algorithm as a data scientist by conducting regression analyses based on observable variables, such as tags, video usage, types of listing images and the presence of certain keywords in listing descriptions. You can use data-driven web and graphic design software to assist you.

Data mining 133

Data mining Big Data Data-driven Data Science 133

datapine

SEPTEMBER 29, 2022

As quality issues are often highlighted with the use of dashboard software , the change manager plays an important role in the visualization of data quality. Once this data is tallied, it can be connected to an online reporting software to report on the state of quality and the exceptions that exist within a data quality dashboard.

Data Quality 241

Data Quality Metrics Data-driven Management 241

IBM Big Data Hub

AUGUST 16, 2023

One way that organizations can do this is through cost allocation tagging; this provides deeper visibility into tracking cloud usage and associated costs, providing visibility into excess costs within compute and memory. SaaS (Software-as-a-Service) provides on-demand access to ready-to-use, cloud-hosted application software.

Cost-Benefit 69

Cost-Benefit Data Processing Optimization Software 69

Smart Data Collective

SEPTEMBER 8, 2020

1 Start a Blog with Machine Learning Algorithms in Place. Blogs are a great way to build your brand’s voice while utilizing insights from big data. Here are some quick stats on what’s happening in the world of blogging and WordPress in 2020. 77 million new blog comments are generated by readers each month.

Data-driven 109

Data-driven Marketing Big Data Advertising 109

IBM Big Data Hub

APRIL 18, 2024

Interestingly, 2024 is seeing a shift in funding through software line items, with fewer leaders allocating budgets from innovation funds, hinting that gen AI is fast becoming an essential technology. While cost wasn’t the primary driver, it reflects a growing belief that the value generated by gen AI outweighs the price tag.

Cost-Benefit 89

Cost-Benefit Modeling Manufacturing Interactive 89

Domino Data Lab

MAY 1, 2019

For more insights from the talk including model testing, environment management, and code alignment, review Mawer’s full interactive deck and additional context on the reproducibility template. I attended the machine learning meetup and reached out to Mawer for the permissions to excerpt Mawer’s work for this blog post.

Machine Learning 81

Machine Learning Testing Data Science Modeling 81

AWS Big Data

MARCH 30, 2023

An event-driven architecture is a software design pattern in which decoupled applications can asynchronously publish and subscribe to events via an event broker. As a next step, clone the GitHub repository to your local machine and test the data pipeline in your own AWS account. compute.internal Ready 19h v1.24.9-eks-49d8fe8

Data-driven 71

Data-driven Metadata Testing Management 71

Ontotext

MAY 26, 2021

But, before we can have any larger scale implementation of these rules, we have to test their validity. As Wikipedia is not only the biggest encyclopedia, but its contributors adhere to a strict editorial process, each industry tag is usually assigned by one person and reviewed by another. How does the Gold Standard help data linking?

Data Quality 87

Data Quality Machine Learning Measurement Metadata 87

AWS Big Data

FEBRUARY 9, 2023

To achieve this, they combine their CRM data with a wealth of information already available in their data warehouse, enterprise systems, or other software as a service (SaaS) applications. Developers need to understand the application APIs, write implementation and test code, and maintain the code for future API changes. Choose Next.

Data Warehouse 74

Data Warehouse Data-driven Snapshot Testing 74

IBM Big Data Hub

FEBRUARY 14, 2024

IBM Research is working to help its customers use generative models to write high-quality software code faster, discover new molecules , and train trustworthy conversational chatbots grounded on enterprise data. AI software can identify when and how resources are used, and match actual demand in real time.

Cost-Benefit 89

Cost-Benefit Insurance Unstructured Data Machine Learning 89

Cloudera

JANUARY 30, 2019

Run experiments with historical reference for hyperparameter tuning, feature engineering, grid searches, A/B testing and more. The post Open Data Science and Machine Learning for Business with Cloudera Data Science Workbench on HDP appeared first on Cloudera Blog. Beyond Notebooks — Secure and Scalable for Enterprise by Design.

Data Science 72

Data Science Machine Learning Experimentation Cost-Benefit 72

Ontotext

JANUARY 26, 2023

Focused on acquisition only, building automation engineers do not take into account the tagging quality and the need for analytics at a later stage. The software development environment consists of three main parts – a time series database, a graph database to store semantic information, and a data workflow management platform.

Interactive 52

Interactive Metadata Data Integration Data-driven 52

IBM Big Data Hub

MARCH 22, 2024

Quality Assurance (QA) is a critical component of the software development lifecycle, aiming to ensure that software products meet specified quality standards before release. However, various challenges arise in the QA domain that affect test case inventory, test case automation and defect volume.

Testing 83

Testing Optimization Software Risk 83

Occam's Razor

SEPTEMBER 20, 2010

If you were really smart you would use campaign tagged vanity url so you can segment them!]. Most website tag and campaign tracking implementations are poor (to put it charitably). Oh and what do you think is happening to the trackability of all your shortened urls in Social Media that you are not tagging with campaign parameters?

Analytics 122

Analytics Metrics Data-driven Reporting 122

AWS Big Data

NOVEMBER 6, 2023

Access to IAM roles or users who are a Lake Formation data lake administrator in both the producer and consumer account for this blog. The script will create a subdirectory tmp in your current working directory, create the test data in CSV files, and upload the files to the DataLakeS3BucketName S3 bucket. Choose Save.

Data Lake 92

Data Lake Sales Management Testing 92

Occam's Razor

JANUARY 7, 2007

For some reason there is so much on this blog about the “business side” of things but not much technical stuff. So to make up for that this post covers some of the “technical” best practices around tracking with your web analytics tools, especially if you are using JavaScript tags. 3: Tags should be inline. #

Analytics 93

Analytics Data Collection Reporting Marketing 93

AWS Big Data

MAY 24, 2023

You can use Amazon S3 Lifecycle configurations and Amazon S3 object tagging with Apache Iceberg tables to optimize the cost of your overall data lake storage. Amazon S3 uses object tagging to categorize storage where each tag is a key-value pair. write.tags.write-tag-name and s3.delete.tags.delete-tag-name With the s3.delete.tags

Data Lake 83

Data Lake Snapshot Metadata Optimization 83

The Unofficial Google Data Science Blog

APRIL 23, 2024

This blog post discusses such a comprehensive approach that is used at Youtube. Multiparameter experiments, however, generate richer data than standard A/B tests, and automated t-tests alone are insufficient to analyze them well. And we can keep repeating this approach, relying on intuition and luck.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

IBM Big Data Hub

JULY 5, 2023

Examples of non-physical assets include software, intellectual property, trademarks and patents. It allows the company to run tests and predict performance based on simulations. Read this blog post to explore how digital twins can help you optimize your asset performance. What is asset lifecycle management (ALM)?

Strategy 57

Strategy Management IoT Cost-Benefit 57

IBM Big Data Hub

NOVEMBER 29, 2023

DevSecOps workflows focus on a frequent and reliable software delivery process. The methodology is iterative rather than linear, which allows DevOps teams to write code, integrate it, run tests, deliver releases and deploy changes collaboratively and in real-time while keeping security and compliance in check.

Testing 100

Testing Dashboards Risk Data Processing 100

IBM Big Data Hub

SEPTEMBER 20, 2023

These can broadly be described in two categories: Time/cost to deploy: Each deployment consists of several layers of hardware and software that need to be installed, configured and tested prior to deployment. The software stack included the Red Hat OpenShift Container Platform and Red Hat OpenShift Data Science.

Modeling 90

Modeling Enterprise Software Machine Learning 90

IBM Big Data Hub

JANUARY 26, 2024

Our team announced different product capabilities designed to simplify your teams’ ability to observe, debug, remediate and enhance your entire stack—integrating observability practices and telemetry data seamlessly into your entire software development lifecycle. Learn more in our announcement blog.

Metrics 94

Metrics Testing Data Processing Interactive 94

Occam's Razor

JUNE 25, 2012

These server logs can then be used to do basic reporting using off the shelf software. Since this is not a blog about legal issues (and I'm not a lawyer!) Since each "hit" is reported to the tool (via the JavaScript tag) there is a bunch of data comes through even if the cookie data does not.

Data Collection 130

Data Collection Advertising Metrics Reporting 130

Sisense

MAY 26, 2020

Preprocessing of data means removal of unwanted URLs, HTML tags, stop words, numeric and alphanumeric words, punctuation, and special characters. While training a model for NLP, words not present in the training data commonly appear in the test data. Because of this, predictions made using test data may not be correct.

Unstructured Data 98

Unstructured Data Big Data Testing Machine Learning 98

IBM Big Data Hub

JANUARY 26, 2024

Our team announced different product capabilities designed to simplify your teams’ ability to observe, debug, remediate and enhance your entire stack—integrating observability practices and telemetry data seamlessly into your entire software development lifecycle. Learn more in our announcement blog.

Metrics 45

Metrics Testing Data Processing Interactive 45

Occam's Razor

MARCH 23, 2010

Javascript tag driven click data processed in the cloud provided through a web based front end that allows you to segment and create meaningful views of the data unique to you. In this blog post let me share with you some ground truths from my own humble experience. You already have the paid analytics software combos mentioned above.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Occam's Razor

FEBRUARY 22, 2010

to gather panel data, a company may recruit participants to be in a panel, and each panel member installs a piece of monitoring software. The software collects all the panel’s browsing behavior and reports it to the company running the panel. Panel data is another well-established method of collecting data.

Metrics 123

Metrics Advertising Reporting Software 123

DataKitchen

JUNE 24, 2021

“Previously we would have a very laborious data warehouse or data mart initiative and it may take a very long time and have a large price tag. He added, “Most organizations are well-versed in software and application development. Most companies have legacy models in software development that are well-oiled machines.

ROI 211

ROI Metrics Measurement Cost-Benefit 211

Alation

FEBRUARY 17, 2023

In this blog, I’ll address some of the questions we did not have time to answer live, pulling from both Dr. Reichental’s book as well as my own experience as a data governance leader for 30+ years. In the final consumption layer, the data fields could be tagged for governance, PII specifics, and advanced classification and categorization.

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

Alation

AUGUST 26, 2021

Search metadata: Supports tagging and keywords to help people find relevant data. What Is Data Intelligence Software? Data intelligence software supports a culture of data-driven decision-making. It relies on data intelligence software to be managed and optimized. Next, you test these use cases with the software chosen.

Metadata 64

Metadata Data Governance Dashboards Software 64

erwin

NOVEMBER 6, 2020

Prashant Parikh, erwin’s Senior Vice President of Software Engineering, talks about erwin’s vision to automate every aspect of the data governance journey to increase speed to insights. The clear benefit is that data stewards spend less time building and populating the data governance framework and more time realizing value and ROI from it.

Data Governance 97

Data Governance Metadata Data-driven Visualization 97

Domino Data Lab

OCTOBER 14, 2020

We’ve developed a model-driven software platform, called Climate FieldView , that captures, visualizes, and analyzes a vast array of data for farmers and provides new insight and personalized recommendations to maximize crop yield. For a complete understanding of the benefits of Petastorm, check out this blog. Hyperparameter Tuning.

Experimentation 99

Experimentation Modeling Deep Learning Testing 99

Occam's Razor

FEBRUARY 9, 2015

Regular readers of the blog know of my deep love for competitive intelligence analysis. My first blog post on the topic of CIA was on 14th Aug 2006! You did not allow them to tag your site, right? I strongly encourage you to read this blog post: Competitive Intelligence Data Sources & Best Practices.

Metrics 155

Metrics Reporting IT Advertising 155