DataKitchen

FEBRUARY 27, 2024

Your LLM Needs a Data Journey: A Comprehensive Guide for Data Engineers The rise of Large Language Models (LLMs) such as GPT-4 marks a transformative era in artificial intelligence, heralding new possibilities and challenges in equal measure.

Data Quality 117

Data Quality Unstructured Data Testing Modeling 117

DataKitchen

NOVEMBER 18, 2021

Write tests that catch data errors. Build observability and transparency into your end-to-end data pipelines. We talk about systemic change, and it certainly helps to have the support of management, but data engineers should not underestimate the power of the keyboard. Automate manual processes. Implement DataOps methods.

Testing 246

Testing Data Governance Measurement Software 246

Business Over Broadway

SEPTEMBER 27, 2018

In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics. Your marketing strategy is only as good as your ability to deliver measurable results. genetic counseling, genetic testing).

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

CIO Business Intelligence

FEBRUARY 2, 2024

That’s where MDM comes in to help create a single version of truth across all copies of master data to ensure data values are aligned. Certifications measure your knowledge and skills against industry- and vendor-specific benchmarks to prove to employers you have the right skillset. Informatica Master Data Management 10.3

Management 114

Management Data Governance Cost-Benefit Testing 114

DataKitchen

JUNE 19, 2023

Another way to look at the five pillars is to see them in the context of a typical complex data estate. Monitoring is another pillar of Data Journeys, extending down the stack. The image above shows an example ‘’data at rest’ test result. For example, a test can check the top fifty customers or suppliers.

Testing 130

Testing Cost-Benefit Metrics Data Quality 130

Ontotext

FEBRUARY 14, 2024

Data integration If your organization’s idea of data integration is printing out multiple reports and manually cross-referencing them, you might not be ready for a knowledge graph. How do you measure its utility? Fortunately, Graphs, RDFs, SHACL, and SPARQL are superb tools for helping you clean the data.

Recreation/Entertainment 105

Recreation/Entertainment Data Integration Modeling Data Quality 105

CIO Business Intelligence

OCTOBER 11, 2023

Generative AI will play a large role in employee productivity, according to 58% of respondents — to the extent that they are starting proofs of concept to test it for themselves. Around 30% of IT decision-makers are already putting generative AI tools in users’ hands, and 23% say they are testing apps from vendor partners.

IT 130

IT Software Testing Manufacturing 130

Smart Data Collective

OCTOBER 26, 2023

As a result, businesses across many industries have been spending increasingly large sums on security technology and services, driving demand for trained specialists fluent in the latest preventative measures. They also uphold relevant regulations and protect systems, data, and communications. How to become a cybersecurity specialist?

Technology 92

Technology Risk Measurement IoT 92

AWS Big Data

MARCH 3, 2023

Tricentis is the global leader in continuous testing for DevOps, cloud, and enterprise applications. Speed changes everything, and continuous testing across the entire CI/CD lifecycle is the key. Tricentis instills that confidence by providing software tools that enable Agile Continuous Testing (ACT) at scale.

Software 52

Software Data Lake Testing Cost-Benefit 52

IBM Big Data Hub

DECEMBER 4, 2023

In May, the European Union Aviation Safety Agency (EASA) released the second version of its AI Roadmap , which provides a comprehensive plan for the integration of AI in aviation, with a focus on safety, security, AI assurance, human factors and ethical considerations. Generative AI can build digital twins much faster than current methods.

Optimization 71

Optimization Testing Machine Learning Measurement 71

DataKitchen

JANUARY 23, 2023

DataOps Observability includes monitoring and testing the data pipeline, data quality, data testing, and alerting. Data testing is an essential aspect of DataOps Observability; it helps to ensure that data is accurate, complete, and consistent with its specifications, documentation, and end-user requirements.

Testing 130

Testing Data Governance Data Quality Data-driven 130

AWS Big Data

AUGUST 22, 2023

This post proposes an automated solution by using AWS Glue for automating the PostgreSQL data archiving and restoration process, thereby streamlining the entire procedure. You can create an AWS Cloud9 environment in one of the private subnets available in your AWS account to set up test data in Amazon RDS.

Data Processing 90

Data Processing Testing Data Lake Data Integration 90

AWS Big Data

MAY 18, 2023

It’s even harder when your organization is dealing with silos that impede data access across different data stores. Seamless data integration is a key requirement in a modern data architecture to break down data silos. We observed that our TPC-DS tests on Amazon S3 had a total job runtime on AWS Glue 4.0

Testing 79

Testing Data Lake Cost-Benefit Data Integration 79

datapine

DECEMBER 28, 2021

Statistics are infamous for their ability and potential to exist as misleading and bad data. Exclusive Bonus Content: Download Our Free Data Integrity Checklist. Get our free checklist on ensuring data collection and analysis integrity! In 2012, the global mean temperature was measured at 58.2

Statistics 363

Statistics Advertising Visualization Data mining 363

AWS Big Data

MAY 16, 2024

Trigger auto scaling programmatically After you configure auto scaling, you might want to test how it behaves under simulated conditions. Using the Python code structure we discussed earlier for invoking a DAG, you can also use the Airflow REST API to simulate a load test and see how well your auto scaling setup responds.

Testing 91

Testing Interactive Metrics Management 91

CIO Business Intelligence

MAY 14, 2024

Controlling escalating cloud and AI costs and preventing data leakage are the top reasons why enterprises are eying hybrid infrastructure as their target AI solution. But the company’s critical data — and any future generative AI data — will likely run on its new hosted private cloud, says Andrew Cotter, Somerset’s EVP and CIO. “As

IT 142

IT Data Processing Enterprise Modeling 142

Jet Global

JUNE 17, 2021

This meant it was extremely difficult to effectively measure year-on-year or period-by-period changes. Managing Data Integrity. Before rolling the new process out, the company needed to address data integrity, a normal stage in any new software implementation project. Adopting Key Principles.

Risk 98

Risk Recreation/Entertainment Forecasting Manufacturing 98

AWS Big Data

NOVEMBER 13, 2023

As Gameskraft’s portfolio of gaming products increased, it led to an approximate five-times growth of dedicated data analytics and data science teams. Consequently, there was a fivefold rise in data integrations and a fivefold increase in ad hoc queries submitted to the Redshift cluster.

Data Warehouse 94

Data Warehouse Data Lake Analytics Data Science 94

datapine

FEBRUARY 10, 2021

Your Chance: Want to test a social media dashboard software for free? A social media dashboard is an invaluable management tool that is used by professionals, managers, and companies to gather, optimize, and visualize important metrics and data from social channels such as Facebook, Twitter, LinkedIn, Instagram, YouTube, etc.

Dashboards 193

Dashboards Scorecard KPI Metrics 193

O'Reilly on Data

DECEMBER 12, 2019

In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. It’s a very simple and powerful idea: simulate data that you find interesting and see what a model predicts for that data. 6] Debugging may focus on a variety of failure modes (i.e.,

Machine Learning 187

Machine Learning Modeling Testing Risk Management 187

CIO Business Intelligence

JUNE 7, 2022

Prescriptive analytics is a type of advanced analytics that involves the application of testing and other techniques to recommend specific solutions that will deliver desired outcomes. Analytics has helped the company reduce the testing time for any given new material from 10 days to about two hours.

Data Analytics 133

Data Analytics Diagnostic Analytics Management Analytics 133

Cloudera

JUNE 22, 2023

It ensures compliance with regulatory requirements while shifting non-sensitive data and workloads to the cloud. Its built-in intelligence automates common data management and data integration tasks, improves the overall effectiveness of data governance, and permits a holistic view of data across the cloud and on-premises environments.

Cost-Benefit 66

Cost-Benefit Digital Transformation Data Governance Unstructured Data 66

AWS Big Data

APRIL 28, 2023

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning (ML), and application development. With the Flex option, you can optimize the costs of your data integration workloads by up to 34%.

Optimization 96

Optimization Metrics Interactive Data Integration 96

CIO Business Intelligence

JANUARY 9, 2023

To fuel self-service analytics and provide the real-time information customers and internal stakeholders need to meet customers’ shipping requirements, the Richmond, VA-based company, which operates a fleet of more than 8,500 tractors and 34,000 trailers, has embarked on a data transformation journey to improve data integration and data management.

Data Strategy 110

Data Strategy Strategy Data Governance Marketing 110

CIO Business Intelligence

OCTOBER 7, 2022

The certification has four specialty areas to choose from: leadership and management, business analytics, data analysis and design, and data integration. The certification requires passing two mandatory exams — your choice of the IS Core or Business Core Exam and the Data Foundations Exam — plus at least one specialty exam.

Business Intelligence 145

Business Intelligence Data Warehouse Visualization Dashboards 145

Jet Global

JANUARY 4, 2021

Financial planners suddenly found it imperative to strengthen the lines of communication with operations personnel to figure out jointly what operational steps should be taken, as well as how those measures would impact the organization’s working capital. Planners began to integrate functional and departmental plans into their own forecasts.

Forecasting 98

Forecasting Finance Testing Sales 98

BI-Survey

AUGUST 21, 2020

Advanced analytics and new ways of working with data also create new requirements that surpass the traditional concepts. Many companies are therefore forced to put these concepts to the test. But what are the right measures to make the data warehouse and BI fit for the future?

Data Warehouse 98

Data Warehouse Data Lake Data Governance Data Architecture 98

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. Informatica Axon Informatica Axon is a collection hub and data marketplace for supporting programs.

Data Governance 142

Data Governance Management Metadata Data Quality 142

FineReport

OCTOBER 25, 2021

The power of BI insight enables any group or organization’s processes, initiatives, and projects to be well shown and measured. Data Dashboard Tool. Why Data Dashboard? Undoubtedly, a data dashboard tool helps you answer a barrage of business-related questions in order to cater to your own strategies. KPI Data Dashboard.

Dashboards 98

Dashboards KPI Visualization Key Performance Indicator 98

CIO Business Intelligence

APRIL 12, 2022

Perforce already owns development tools such as Helix and the testing tools, including Perfecto and BlazeMeter. Test automation: Tricentis buys Testim. Software test automation vendor Tricentis has bought Testim, the developer of an AI-based SaaS test automation platform, to expand its continuous testing solutions.

Technology 143

Technology Enterprise Consulting Software 143

CIO Business Intelligence

OCTOBER 13, 2022

One of the most important parameters for measuring the success of any technology implementation is the return on investment (ROI). As the final step for ensuring payment, integration compliance on payments must be introduced through PCI-compliant coding. This is followed by an end-to-end testing upgrading from component,” Kumar says.

ROI 130

ROI IT Sales Consulting 130

Jedox

SEPTEMBER 3, 2020

Cloud scenario planning platforms can now capture financial data and sub-ledger transactions in real time to provide constant feedback on cost and revenue. Build for broad and deep data integration. Old pre-crisis planning took historic company data like aggregated product sales and applied run-rates.

Uncertainty 81

Uncertainty Forecasting Digital Transformation Risk 81

Domino Data Lab

JULY 1, 2020

Makes the code easier to test. This code will be transformed to an external function and we need to write a unit test that comprehensively defines or improves the function in question. Not every data scientist feels confident about code testing. Integration tests that target integration of components.

Testing 116

Testing Data Science Machine Learning Data-driven 116

CIO Business Intelligence

JULY 6, 2023

The enterprise IA program is delivering on “experience, effectiveness, and efficiency — giving our employees more time to focus on creative innovations and upskilling,” says Steve Sorensen, vice president of technology services, supply chain, data integration, and reliability engineering at J&J. “It Track, measure, and reuse.

Cost-Benefit 118

Cost-Benefit Technology Unstructured Data Testing 118

Cloudera

SEPTEMBER 7, 2023

This puts the onus on institutions to implement robust data encryption standards, process sensitive data locally, automate auditing, and negotiate clear ownership clauses in their service agreements. But these measures alone may not be sufficient to protect proprietary information. Formalize ethics and bias testing.

Insurance 81

Insurance Risk Data-driven Finance 81

Jet Global

NOVEMBER 16, 2022

Below, we’ll share some of the best inventory KPI examples that you can use to measure the performance of your warehouse or facility. Taken individually, they can provide a test of the strength of different phases of your operation. Your inventory turnover ratio measures how fast stock is turned over, typically in a year.

Metrics 52

Metrics Reporting KPI Cost-Benefit 52

CIO Business Intelligence

JUNE 7, 2022

You don’t understand how long you should test your feature and what exactly you should measure,” he says. Data scientists may build the ML models, but its ML engineers who implement them. An ML engineer is also involved with validation of models, A/B testing, and monitoring in production.”. Data steward.

Machine Learning 145

Machine Learning Data Science Consulting Metrics 145