O'Reilly on Data

FEBRUARY 15, 2022

We can start with a simple operational definition: Reading comprehension is what is measured by a reading comprehension test. That definition may only be satisfactory to the people who design these tests and school administrators, but it’s also the basis for Deep Mind’s claim. That definition itself is ambiguous.

Testing 300

Testing Modeling Measurement IT 300

DataKitchen

MARCH 12, 2024

We kept adding tests over time; it has been several years since we’ve had any major glitches. Thanks to Observability, I could diagnose the problem – definitely helped me a lot during the process.” It’s definitive, and that changes the game, especially for senior leadership.” That was amazing for the team.”

Metrics 118

Metrics Software Cost-Benefit Testing 118

O'Reilly on Data

OCTOBER 17, 2023

This definition is essentially interactive. This is probably the definition that Agarwal has in mind. This definition isn’t interactive; it’s automating a task to make it easier for others to do. What about the first, interactive definition? To say nothing of debugging and testing.)

Interactive 257

Interactive Software Testing IT 257

David Menninger's Analyst Perspectives

SEPTEMBER 23, 2021

Data teams and analysts start by creating common definitions of key performance indicators, which Sisu then utilizes to automatically test thousands of hypotheses to identify differences between groups. The product features fact boards, annotations and the ability to share facts and analysis across teams.

Machine Learning 235

Machine Learning Key Performance Indicator Optimization Analytics 235

DataKitchen

APRIL 13, 2021

Because it is such a new category, both overly narrow and overly broad definitions of DataOps abound. Testing and Data Observability. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Testing and Data Observability. Production Monitoring and Development Testing.

Testing 304

Testing Machine Learning Consulting Data Quality 304

FineReport

JANUARY 5, 2022

Definition. At this time, mastery of business knowledge is frequently used as a litmus test for reporting people’s abilities. Analytics Report: Definite Guide You Will Ever Need shows at FineReport first. Analytics reports. Overview of analytics report. Report management system by FineReport. Conclusion. Schedule a Demo.

Reporting 52

Reporting Analytics Visualization Dashboards 52

DataKitchen

AUGUST 6, 2024

I took TestGen for a test drive on ~600k rows of Boston City data and found 18 data quality hygiene issues in a few minutes. The one “Definite” finding was non-standard blank values in the comment column. My next steps were to generate data quality tests (this took about 2 seconds).

Data Quality 126

Data Quality Testing Cost-Benefit Software 126

CIO Business Intelligence

NOVEMBER 11, 2024

Fiber broadband offers high speed, large bandwidth, and low latency, enabling applications such as high-definition video, online gaming, remote work, and online education. This has significantly boosted their global rankings in speed tests. These capabilities provide a strong foundation for the digital economy.

Digital Transformation 73

Digital Transformation Testing Publishing Strategy 73

Peter James Thomas

SEPTEMBER 19, 2018

Here are 20 new definitions, including the first from other contributors (thanks Tenny!): Testing Data (Training Data). People are now also welcome to contribute their own definitions. The peterjamesthomas.com Data and Analytics Dictionary is an active document and I will continue to issue revised versions of it periodically.

Analytics 45

Analytics Testing Data Strategy Data Integration 45

CIO Business Intelligence

SEPTEMBER 25, 2024

Burkhardt describes the program as “integrating a set of tools into a process” that combines penetration testing, customized scans, and attack simulations with human creativity and teamwork. Burkhardt and his team first noticed gaps in their security posture when doing crowdsourced penetration testing. Threat intelligence response.

Management 114

Management Testing Consulting Technology 114

DataKitchen

OCTOBER 11, 2021

Second, you must establish a definition of “done.” In DataOps, the definition of done includes more than just some working code. There are no automated tests , so errors frequently pass through the pipeline. Definition of Done. Adding Tests to Reduce Stress. Below is an example historical balance test.

Testing 154

Testing Metadata Dashboards Statistics 154

David Menninger's Analyst Perspectives

OCTOBER 2, 2024

Making data available as a product on a self-service basis also increases the importance of agreed-upon data definitions and entity resolution. Making data available as a product on a self-service basis also increases the importance of agreed-upon data definitions and entity resolution.

Key Performance Indicator 130

Key Performance Indicator Data Governance Data Warehouse Enterprise 130

O'Reilly on Data

OCTOBER 22, 2024

They will learn how to coach the AI to give them “better” code (for some definition of better) over time. Maybe, but we’re definitely not there yet. Why is it hard to make this test pass? All this time, they’re training the AI, they’re not training junior developers. Why did you reject this idea?

Software 268

Software Testing IT 268

DataKitchen

NOVEMBER 20, 2021

A DataOps Engineer can make test data available on demand. We have automated testing and a system for exception reporting, where tests identify issues that need to be addressed. A previous post talked about the definition of “done.” It then autogenerates QC tests based on those rules.

Testing 246

Testing Machine Learning Data Warehouse Reporting 246

O'Reilly on Data

OCTOBER 19, 2021

While there isn’t an authoritative definition for the term, it shares its ethos with its predecessor, the DevOps movement in software engineering: by adopting well-defined processes, modern tooling, and automated workflows, we can streamline the process of moving from development to robust production deployments. Why did something break?

IT 352

IT Testing Experimentation Software 352

DataKitchen

APRIL 18, 2024

The most effortless way to institute comprehensive, agile data quality testing is to derive actionable information, start testing and measuring immediately, and then iterate, using tests and results to refine. But our open-source tools are not hobbled in testing and observing. And a way to configure more tests.

Testing 118

Testing Data Quality Enterprise Data Analytics 118

CIO Business Intelligence

OCTOBER 23, 2024

The new ability, which the company is calling “computer use,” is currently in beta test. Sonnet needs definitions of the tools and software on the computer it will operate, and authorization to access them. Anthropic’s Claude 3.5 Sonnet large language model has gained a new ability: operating a computer. Key to that is Claude 3.5

Testing 141

Testing Software Risk Modeling 141

O'Reilly on Data

JULY 11, 2023

Some of that time is spent in pointless meetings, but much of “the rest of the job” is understanding the user’s needs, designing, testing, debugging, reviewing code, finding out what the user really needs (that they didn’t tell you the first time), refining the design, building an effective user interface, auditing for security, and so on.

Testing 251

Testing Software Visualization Interactive 251

AWS Big Data

JANUARY 2, 2024

We also avoid the implementation details and packaging process of our test data generation application, referred to as the producer. Create an ECS task definition with Kinesis Agent and the application container Now that you have Kinesis Agent packaged as a container image, you can use it in your ECS task definitions to run as sidecar.

Testing 102

Testing Data Processing Metrics Publishing 102

Rocket-Powered Data Science

FEBRUARY 15, 2023

A business-disruptive ChatGPT implementation definitely fits into this category: focus first on the MVP or MLP. Keep it agile, with short design, develop, test, release, and feedback cycles: keep it lean, and build on incremental changes. Test early and often. Test and refine the chatbot. Expect continuous improvement.

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

DataKitchen

JANUARY 25, 2022

DataOps converted these manual processes into automated orchestrations that only required human intervention when an automated alert detected that a data source missed its delivery deadline or failed to pass quality tests. It definitely means redeploying internal and outsourcing budgets to higher value-add activities.

Consulting 244

Consulting Testing Data Lake Data Quality 244

Rocket-Powered Data Science

SEPTEMBER 25, 2022

All phases of the MVT process are discussed: strategy, designs, pilot, implementation, test, validation, operations, and monitoring. Beyond being a technical how-to manual (though it is definitely that), this book delivers so much more! 5) Helpful discussions of phased DT deployments, prototypes, pilots, feedback, and validation.

Diagnostic Analytics 216

Diagnostic Analytics Prescriptive Analytics Internet of Things IoT 216

DataKitchen

OCTOBER 5, 2021

Many people who work with data have a narrow definition of being “done.” The narrow definition of “done” used by many data professionals is that it worked in a specific environment, without knowing or caring about the challenges of the people who have to deploy, monitor and maintain that component. Create tests. Run the factory.

Testing 154

Testing Dashboards Measurement Experimentation 154

Cloudera

MARCH 14, 2023

Allows them to iteratively develop processing logic and test with as little overhead as possible. With the general availability of DataFlow Designer, developers can now implement their data pipelines by building, testing, deploying, and monitoring data flows in one unified user interface that meets all their requirements.

Testing 83

Testing Publishing Metadata Interactive 83

CIO Business Intelligence

JUNE 14, 2024

And while you don’t need an ECBA certification to pursue one of the higher-level certs, it definitely lays a foundation of knowledge that will be helpful if you choose to go that route. IIBA’s website also has details on some of the strict rules for taking the test online. This breaks down as: The business analysis professional: 2.5%

Business Analysis 116

Business Analysis Testing Consulting Cost-Benefit 116

AWS Big Data

MARCH 12, 2024

In this post, we provide benchmark results of running increasingly complex data quality rulesets over a predefined test dataset. Dataset details The test dataset contains 104 columns and 1 million rows stored in Parquet format. We provide the plain text definition for each ruleset in the following table.

Data Quality 96

Data Quality Measurement Testing Visualization 96

DataKitchen

FEBRUARY 2, 2023

DataOps Automation (Orchestration, Environment Management, Deployment Automation) DataOps Observability (Monitoring, Test Automation) Data Governance (Catalogs, Lineage, Stewardship) Data Privacy (Access and Compliance) Data Team Management (Projects, Tickets, Documentation, Value Stream Management) What are the drivers of this consolidation?

Metadata 130

Metadata Testing Risk Data Science 130

David Menninger's Analyst Perspectives

NOVEMBER 5, 2024

At that early stage, Verint’s approach was to identify specific use cases that could benefit from AI-based automation, and incrementally developed bots as a definitive solution to those problems. The core tools are time-tested and well regarded; the new ones come with vendor assertions about ROI. Regards, Keith Dawson

ROI 130

ROI Interactive Software Measurement 130

Occam's Razor

APRIL 19, 2010

Definitions and standard perspectives on these terms will be covered in this post: Business Objectives. A standard definition will be provided, but more than that my hope is to solidify your understanding with concrete examples and pictures. There are many long and complicated definitions of dimensions. Dimensions.

Metrics 140

Metrics Key Performance Indicator KPI Business Objectives 140

Occam's Razor

APRIL 2, 2012

But when you meet executives and they say "help us with our multi-channel attribution problem", most definitely ask the clarifying question: "do you mean MCA-O2S or MCA-AMS?" A couple of them pass the common sense test, and hence will put you in a better place than staying with last click attribution.

Modeling 154

Modeling Advertising Marketing Measurement 154

Jedox

JULY 6, 2021

Definition: MAE is defined as the average of absolute difference between forecasted values and true values. n is total number of values in the test set. Definition: MAPE is defined as the percentage of the average of absolute difference between forecasted values and true values, divided by true value. Mean Absolute Error (MAE).

Forecasting 104

Forecasting Metrics Testing Modeling 104

DataKitchen

MAY 10, 2021

Some will argue that observability is nothing more than testing and monitoring applications using tests, metrics, logs, and other artifacts. In our definition of data observability, we put the focus on the important goal of eliminating data errors. Manual testing is performed step-by-step, by a person.

Testing 214

Testing Manufacturing Data Quality Statistics 214

O'Reilly on Data

JANUARY 9, 2024

We still rely on humans to test and fix the errors. How do you understand what the program is doing if it’s a different program each time you generate and test it? Automated code generation doesn’t yet have the kind of reliability we expect from traditional programming; Simon Willison calls this “ vibes-based development.”

Modeling 288

Modeling Software Testing Optimization 288

CIO Business Intelligence

OCTOBER 5, 2023

Outsourcing the wrong work The debate over building or buying software is a time-honored one with no definitive conclusion. Avoiding testing Effective software developers and their managers know that testing is a constant challenge and just as much a part of the job as writing recursive code or designing an elegant data structure.

Software 134

Software Testing Cost-Benefit Management 134

datapine

OCTOBER 11, 2023

Keep on reading to learn a definition, benefits, and a warehouse KPI list with the most prominent examples any manager should be tracking to achieve operational success. Let’s dive in with the definition. Therefore, it is essential to test different benchmarks and see what works best for your business. What Is A Warehouse KPI?

Metrics 217

Metrics KPI Management Cost-Benefit 217

Smart Data Collective

JANUARY 30, 2023

Mixed reality In times of chaos, do you really have enough funds to build test models, organize accurate product testing with clients before you start selling, or spend time and money on fixing the potential issues that may or may not occur? A hologram experience is definitely more memorable than a simple laptop presentation.

Software 104

Software Strategy Testing Advertising 104

O'Reilly on Data

NOVEMBER 28, 2023

Unexpected outcomes, security, safety, fairness and bias, and privacy are the biggest risks for which adopters are testing. AI users are definitely facing these problems: 7% report that data quality has hindered further adoption, and 4% cite the difficulty of training a model on their data. Only 4% pointed to lower head counts.

Enterprise 277

Enterprise Modeling Testing Reporting 277