Smart Data Collective

NOVEMBER 23, 2022

We have talked extensively about some of the benefits of AI and machine learning in mobile app development in previous blog posts. However, one of the benefits that we haven’t talked as much about is the application of machine learning for testing new apps during the design process. What Is Automated Mobile App Testing?

Machine Learning 131

Machine Learning Testing Cost-Benefit Publishing 131

Analytics Vidhya

MAY 9, 2024

It involves dividing a training dataset into multiple subsets and testing it on a new set. Introduction Cross-validation is a machine learning technique that evaluates a model’s performance on a new dataset. This prevents overfitting by encouraging the model to learn underlying trends associated with the data.

Machine Learning 319

Machine Learning Testing Modeling Analytics 319

DataKitchen

DECEMBER 13, 2021

Without further ado, here are DataKitchen’s top ten blog posts, top five white papers, and top five webinars from 2021. Top 10 Blog Posts. Add DataOps Tests to Deploy with Confidence. We hope you and your family have happy holidays and we look forward to continuing your DataOps journey with you in the new year.

Data Architecture 246

Data Architecture Data Governance Testing Modeling 246

DataKitchen

JULY 12, 2023

The Syntax, Semantics, and Pragmatics Gap in Data Quality Validate Testing Data Teams often have too many things on their ‘to-do’ list. Syntax-Based Profiling and Testing : By profiling the columns of data in a table, you can look at values in a column to understand and craft rules about what is allowed for a column.

Data Quality 130

Data Quality Testing Manufacturing Finance 130

DataKitchen

DECEMBER 30, 2020

Full disclosure: some images have been edited to remove ads or to shorten the scrolling in this blog post. DataKitchen provides an end-to-end DataOps platform that automates and coordinates people, tools, and environments in the entire data analytics organization—from orchestration, testing, and monitoring to development and deployment.

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Testing Big Data Statistics Manufacturing 241

DataKitchen

MAY 31, 2023

We will also discuss how the vast majority of data engineers are so busy that they don’t know, or have time to write, tests to write to find data errors. The post UPCOMING WEBINAR: Automated Test Generation – Why Data Teams Need It first appeared on DataKitchen. It is the missing piece of our data systems.

Testing 130

Testing IT 130

DataKitchen

DECEMBER 29, 2022

The Terms and Conditions of a Data Contract are Automated Production Data Tests. The best data contract is an automated production data test. Data testing plays a critical role in the process of implementing data contracts. Data testing ensures that the data is transmitted and received accurately and consistently.

Testing 130

Testing Statistics Data Quality Data Integration 130

DataKitchen

SEPTEMBER 20, 2023

We will also discuss how the vast majority of data engineers are so busy that they don’t know, or have time to write, tests to write to find data errors. The post ON DEMAND WEBINAR: Automated Test Generation – Why Data Teams Need It first appeared on DataKitchen. It is the missing piece of our data systems.

Testing 130

Testing IT 130

DataKitchen

AUGUST 9, 2021

The domain requires a team that creates/updates/runs the domain, and we can’t forget metadata: catalogs, lineage, test results, processing history, etc., …. It can orchestrate a hierarchy of directed acyclic graphs ( DAGS ) that span domains and integrates testing at each step of processing.

Testing 246

Testing Data Lake Metadata Publishing 246

datapine

APRIL 15, 2020

Your Chance: Want to test an agile business intelligence solution? Business intelligence is moving away from the traditional engineering model: analysis, design, construction, testing, and implementation. Test BI in a small group and deploy the software internally. Finalize testing. Test throughout the lifecycle.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

DataKitchen

SEPTEMBER 20, 2021

The best way to ensure error-free execution of data production is through automated testing and monitoring. The DataKitchen Platform enables data teams to integrate testing and observability into data pipeline orchestrations. Automated tests work 24×7 to ensure that the results of each processing stage are accurate and correct.

Testing 246

Testing Metrics Measurement Dashboards 246

DataKitchen

SEPTEMBER 17, 2021

Design your data analytics workflows with tests at every stage of processing so that errors are virtually zero in number. It’s hard enough to test within a single domain, but imagine testing with other domains which use different teams and toolchains, managed in other locations. Take a broader view.

Testing 237

Testing Data Architecture Measurement Enterprise 237

AWS Big Data

DECEMBER 17, 2024

This blog was co-authored by DeNA Co., Conduct data quality tests on anonymized data in compliance with data policies Conduct data quality tests to quickly identify and address data quality issues, maintaining high-quality data at all times. and Amazon Web Services Japan.

Data Quality 86

Data Quality Testing Metrics Optimization 86

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. It then autogenerates QC tests based on those rules. Every time we see an error, we address it with a new automated test.

Testing 246

Testing Machine Learning Data Warehouse Reporting 246

DataKitchen

NOVEMBER 5, 2024

Get Off The Blocks Fast: Data Quality In The Bronze Layer Effective Production QA techniques begin with rigorous automated testing at the Bronze layer , where raw data enters the lakehouse environment. Data Drift Checks (does it make sense): Is there a shift in the overall data quality?

Data Quality 204

Data Quality Testing Metrics Reporting 204

DataKitchen

DECEMBER 9, 2024

This blog dives into the remarkable journey of a data team that achieved unparalleled efficiency using DataOps principles and software that transformed their analytics and data teams into a hyper-efficient powerhouse. data quality tests every day to support a cast of analysts and customers.

Data Quality 173

Data Quality Data Lake Testing Statistics 173

DataKitchen

MAY 7, 2024

DataKitchen Training And Certification Offerings For Individual contributors with a background in Data Analytics/Science/Engineering Overall Ideas and Principles of DataOps DataOps Cookbook (200 page book over 30,000 readers, free): DataOps Certificatio n (3 hours, online, free, signup online): DataOps Manifesto (over 30,000 signatures) One (..)

Data Quality 173

Data Quality Testing Consulting Metrics 173

Rocket-Powered Data Science

FEBRUARY 15, 2023

These rules are not necessarily “Rocket Science” (despite the name of this blog site), but they are common business sense for most business-disruptive technology implementations in enterprises. Keep it agile, with short design, develop, test, release, and feedback cycles: keep it lean, and build on incremental changes.

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

DataKitchen

NOVEMBER 29, 2021

Model developers will test for AI bias as part of their pre-deployment testing. Quality test suites will enforce “equity,” like any other performance metric. Continuous testing, monitoring and observability will prevent biased models from deploying or continuing to operate. Companies Commit to Remote.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

DataKitchen

AUGUST 27, 2021

The Otezla team built a system with tens of thousands of automated tests checking data and analytics quality. When the tests pass, the orchestration admits the data to a data catalog. The DataKitchen DataOps Platform implements automation that replaces an army of people who previously executed manual tests, checklists and procedures.

Analytics 246

Analytics Sales Testing Cost-Benefit 246

datapine

OCTOBER 17, 2019

In this blog post, we’re going to give a bit of background and context about management reports, and then we’re going to outline 10 essential best practices you can use to make sure your reports are effective. Ask other key stakeholders within the organization to test your report and offer their feedback. Get testing!

Reporting 263

Reporting Management Dashboards KPI 263

Dataiku

NOVEMBER 15, 2024

To attempt to answer this question, this blog post will compare responses from ChatGPT and surveyed individuals. ChatGPT was released almost two years ago now, so we thought this would be a good time to analyze its performance. After two years of reinforcement learning , how knowledgeable has ChatGPT become?

Testing 81

Testing IT 81

DataKitchen

MAY 10, 2021

Some will argue that observability is nothing more than testing and monitoring applications using tests, metrics, logs, and other artifacts. Below we will explain how to virtually eliminate data errors using DataOps automation and the simple building blocks of data and analytics testing and monitoring. . Tie tests to alerts.

Testing 214

Testing Manufacturing Data Quality Statistics 214

DataKitchen

AUGUST 13, 2021

A drug company tests 50,000 molecules and spends a billion dollars or more to find a single safe and effective medicine that addresses a substantial market. Figure 1: A pharmaceutical company tests 50,000 compounds just to find one that reaches the market. A DataOps superstructure provides a common testing framework.

Testing 246

Testing Dashboards Marketing Measurement 246

DataKitchen

OCTOBER 5, 2021

In this blog, we’ll explore the role of the DataOps Engineer in driving the data organization to higher levels of productivity. A more technical discussion will follow in the next edition of this blog series. Instead of focusing on a narrowly defined task with minimal testing and feedback, DataOps focuses on adding value.

Testing 162

Testing Dashboards Measurement Experimentation 162

Analytics Vidhya

JANUARY 2, 2024

Introduction In this technologically advanced era, programming languages come and go, but Python has stood the test of time, emerging as a titan in coding. Its simplicity, versatility, and robust community support have made it the go-to language for beginners and experts alike.

Testing 143

Testing Technology Analytics IT 143

O'Reilly on Data

FEBRUARY 16, 2023

There are excellent summaries of these failures in Ben Thompson’s newsletter Stratechery and Simon Willison’s blog. That’s what beta tests are for. Will it take weeks, months, or years to iron out the problems with Microsoft’s and Google’s beta tests? The important question is where we go from here.

Testing 217

Testing Statistics Modeling Optimization 217

DataKitchen

MAY 10, 2024

This blog post introduces five critical use cases for data observability, each pivotal in maintaining the integrity and usability of data throughout its journey in any enterprise. Data observability here includes conducting regression tests and assessing the impact of these changes.

Data Quality 150

Data Quality Dashboards Strategy Testing 150

DataKitchen

MAY 10, 2024

This blog post delves into the third critical use case for Data Observation and Data Quality Validation: development and Deployment. A robust data observability strategy addresses several critical questions to ensure the stability and reliability of development activities: Did All My Tests Pass? How Many Tests Ran Per Day?

Testing 133

Testing Cost-Benefit Data Quality Dashboards 133

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.

Consulting 244

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datapine

FEBRUARY 9, 2024

4) How to Select Your KPIs 5) Avoid These KPI Mistakes 6) How To Choose A KPI Management Solution 7) KPI Management Examples Fact: 100% of statistics strategically placed at the top of blog posts are a direct result of people studying the dynamics of Key Performance Indicators, or KPIs. What Are KPI Best Practices?

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KPI Management Key Performance Indicator Measurement 221

datapine

MAY 20, 2020

Test, tweak, evolve. Take the time to analyze, explore, test your CRM reports samples, and ask for regular feedback. The post Apply Modern CRM Dashboards & Reports Into Your Business – Examples & Templates appeared first on BI Blog | Data Visualization & Analytics Blog | datapine.

Dashboards 265

Dashboards Reporting KPI Visualization 265

DataKitchen

JANUARY 3, 2022

Tests that verify and validate data flowing through the data pipelines are executed continuously. An impact review test suite executes before new analytics are deployed. Production analytics are revision controlled , and new analytics are tested and deployed seamlessly. to be shared, reused, curated and continuously improved. .

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

DataKitchen

FEBRUARY 23, 2024

Webinar: Beyond Data Observability: Personalization DataKitchen DataOps Observability Problem Statement White Paper: ‘Taming Chaos’ Technical Product Overview Four-minute online demo Detailed Product: Documentation Webinar: Data Observability Demo Day DataKitchen DataOps TestGen Problem Statement White Paper: ‘Mystery Box Full Of Data Errors’ (..)

Testing 124

Testing Data-driven Metrics Data Quality 124

DataKitchen

MAY 10, 2024

This blog explores the third of five critical use cases for Data Observability and Quality Validation—data Production—highlighting how DataKitchen’s Open-Source Data Observability solutions empower organizations to manage this critical stage effectively. How Many Tests Do I Have In Production?

Metrics 133

Metrics Testing Data Quality Dashboards 133

datapine

MARCH 25, 2020

Your Chance: Want to test a professional reporting automation software? Your Chance: Want to test a professional reporting automation software? Your Chance: Want to test a professional reporting automation software? Let’s get started. We offer a 14-day free trial. Automate your processes with datapine!

Reporting 209

Reporting Dashboards Manufacturing Visualization 209

datapine

APRIL 13, 2021

Your Chance: Want to test a powerful agency analytics software? Your Chance: Want to test a powerful agency analytics software? Your Chance: Want to test a powerful agency analytics software? Your Chance: Want to test a powerful agency analytics software? Your Chance: Want to test a powerful agency analytics software?

Dashboards 256

Dashboards Reporting Analytics Cost-Benefit 256