DataKitchen

MAY 10, 2021

Some will argue that observability is nothing more than testing and monitoring applications using tests, metrics, logs, and other artifacts. That’s a fair point, and it places emphasis on what is most important – what best practices should data teams employ to apply observability to data analytics. Tie tests to alerts.

Testing 214

Testing Manufacturing Data Quality Statistics 214

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

DataKitchen

JANUARY 23, 2023

DataOps Observability includes monitoring and testing the data pipeline, data quality, data testing, and alerting. Data testing can be done through various methods, such as data profiling, Statistical Process Control, and quality checks. Are problems with data tests?

Testing 130

Testing Data Governance Data Quality Data-driven 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

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

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

datapine

NOVEMBER 27, 2019

Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 1) Data Quality Management (DQM).

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

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 198

Machine Learning Modeling Testing Risk Management 198

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 83

Insurance Risk Data-driven Finance 83

CIO Business Intelligence

SEPTEMBER 2, 2022

The average salary for a financial software engineer is $116,670 per year, with a reported salary range of $85,000 to $177,000 per year, according to data from Glassdoor. Full-stack software engineers are essentially high-level software engineers who are focused on designing, testing, and implementing software applications.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 31, 2022

The average salary for a financial software engineer is $116,670 per year, with a reported salary range of $85,000 to $177,000 per year, according to data from Glassdoor. Full-stack software engineers are essentially high-level software engineers who are focused on designing, testing, and implementing software applications.

Finance 98

Finance IT Software Reporting 98

erwin

JANUARY 11, 2019

It’s only when companies take their first stab at manually cataloging and documenting operational systems, processes and the associated data, both at rest and in motion, that they realize how time-consuming the entire data prepping and mapping effort is, and why that work is sure to be compounded by human error and data quality issues.

Data Governance 40

Data Governance Risk Metadata Management 40

datapine

MAY 17, 2021

Your Chance: Want to test a professional data discovery tool for free? Benefit from modern data discovery today! What Is Data Discovery? If you have multiple databases from different touchpoints, you should look for a tool that will allow data integration no matter the amount of information you want to include.

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

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.

Management 111

Management Data Governance Cost-Benefit Testing 111

Alation

OCTOBER 28, 2021

This, in turn, empowers data leaders to better identify and develop new revenue streams, customize patient offerings, and use data to optimize operations. To make good on this potential, healthcare organizations need to understand their data and how they can use it. Why Is Data Governance in Healthcare Important?

Data Governance 52

Data Governance Measurement Metrics Data Quality 52

Alation

JANUARY 25, 2022

This “analysis” is made possible in large part through machine learning (ML); the patterns and connections ML detects are then served to the data catalog (and other tools), which these tools leverage to make people- and machine-facing recommendations about data management and data integrations. Simply put?

Metadata 52

Metadata IT Metrics Data-driven 52