DataKitchen

FEBRUARY 20, 2025

Now With Actionable, Automatic, Data Quality Dashboards Imagine a tool that can point at any dataset, learn from your data, screen for typical data quality issues, and then automatically generate and perform powerful tests, analyzing and scoring your data to pinpoint issues before they snowball. DataOps just got more intelligent.

Data Quality 183

Data Quality Scorecard Testing Dashboards 183

Analytics Vidhya

APRIL 8, 2023

My latest blog post is jam-packed with fun and innovative experiments that I conducted with ChatGPT over the weekend. In this experiment, I put ChatGPT to the test and challenged it to […] The post How to Use ChatGPT as a Data Scientist? Introduction Are you a data scientist looking for an exciting and informative read?

Testing 358

Testing Analytics IT Data Science 358

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. 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 300

Testing Machine Learning Consulting Data Quality 300

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 136

Machine Learning Testing Cost-Benefit Publishing 136

CIO Business Intelligence

NOVEMBER 19, 2024

Development teams starting small and building up, learning, testing and figuring out the realities from the hype will be the ones to succeed. For instance, If you want to create a system to write blog entries, you might have a researcher agent, a writer agent and a user agent. There can be up to eight different data sets or files.

Testing 135

Testing Cost-Benefit Interactive ROI 135

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

AWS Big Data

NOVEMBER 27, 2024

You’re now ready to sign in to both Aurora MySQL cluster and Amazon Redshift Serverless data warehouse and run some basic commands to test them. Choose Test Connection. Choose Next if the test succeeded. This verifies that dbt Cloud can access your Redshift data warehouse. Make your initial commit by choosing Commit and sync.

Data Warehouse 101

Data Warehouse Analytics Testing Modeling 101

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

MARCH 20, 2025

Rather than concentrating on individual tables, these teams devote their resources to ensuring each pipeline, workflow, or DAG (Directed Acyclic Graph) is transparent, thoroughly tested, and easily deployable through automation. Their data tables become dependable by-products of meticulously crafted and managed workflows.

Data Quality 161

Data Quality Testing Metrics Management 161

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

CIO Business Intelligence

JANUARY 15, 2025

EY, in a recent blog post focused on top opportunities for IT companies in 2025, recommends money raised from these activities be used on AI projects. Divestitures can also help companies zero in on their potential and market relevance, the blog authors note. billion.

Sales 130

Sales Data-driven Marketing Optimization 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.

Testing 241

Testing Big Data Statistics Manufacturing 241

CIO Business Intelligence

OCTOBER 24, 2024

2025 will be about the pursuit of near-term, bottom-line gains while competing for declining consumer loyalty and digital-first business buyers,” Sharyn Leaver, Forrester chief research officer, wrote in a blog post Tuesday. The rest of their time is spent creating designs, writing tests, fixing bugs, and meeting with stakeholders. “So

ROI 127

ROI Data-driven Enterprise Experimentation 127

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 233

Testing Technology Analytics IT 233

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

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 296

Testing Statistics Modeling Optimization 296

AWS Big Data

DECEMBER 27, 2024

To assess the Spark engines performance with the Iceberg table format, we performed benchmark tests using the 3 TB TPC-DS dataset, version 2.13 (our results derived from the TPC-DS dataset are not directly comparable to the official TPC-DS results due to setup differences). 4xlarge instances, for testing both open source Spark 3.5.3

Cost-Benefit 105

Cost-Benefit Testing Metrics Optimization 105

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 Visualization 237

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 Analytics 246

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

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 161

Data Quality Testing Consulting Metrics 161

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

datapine

OCTOBER 21, 2020

Every patient has his own digital record which includes demographics, medical history, allergies, laboratory test results, etc. EHRs can also trigger warnings and reminders when a patient should get a new lab test or track prescriptions to see if a patient has been following doctors’ orders. 2) Electronic Health Records (EHRs).

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

Cloudera

NOVEMBER 13, 2024

Build and test training and inference prompts. Fine Tuning Studio ships with powerful prompt templating features, so users can build and test the performance of different prompts to feed into different models and model adapters during training. We can then test the prompt against the dataset to make sure everything is working properly.

Cost-Benefit 87

Cost-Benefit Data Processing Testing Machine Learning 87

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. Programmers have always developed tools that would help them do their jobs, from test frameworks to source control to integrated development environments. Only 4% pointed to lower head counts. Perhaps not yet.

Enterprise 339

Enterprise Testing Modeling Reporting 339

AWS Big Data

OCTOBER 11, 2024

Testing and development – You can use snapshots to create copies of your data for testing or development purposes. Note: While using Postman or Insomnia to run the API calls mentioned throughout this blog, choose AWS IAM v4 as the authentication method and input your IAM credentials in the Authorization section.

Snapshot 105

Snapshot Dashboards Management Testing 105

AWS Big Data

NOVEMBER 22, 2024

Testing these upgrades involves running the application and addressing issues as they arise. Each test run may reveal new problems, resulting in multiple iterations of changes. They then need to modify their Spark scripts and configurations, updating features, connectors, and library dependencies as needed. Python 3.7) to Spark 3.3.0

Cost-Benefit 102

Cost-Benefit Data-driven Software Testing 102