Wayne Yaddow

MARCH 14, 2025

Users can apply built-in schema tests (such as not null, unique, or accepted values) or define custom SQL-based validation rules to enforce data integrity. dbt Core allows for data freshness monitoring and timeliness assessments, ensuring tables are updated within anticipated intervals in addition to standard schema validations.

Data Transformation 52

Data Transformation Testing Unstructured Data Data Quality 52

AWS Big Data

FEBRUARY 1, 2023

AWS Glue for ETL To meet customer demand while supporting the scale of new businesses’ data sources, it was critical for us to have a high degree of agility, scalability, and responsiveness in querying various data sources. Every dataset in our system is uniquely identified by snapshot ID, which we can search from our metadata store.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

AWS Big Data

MARCH 3, 2023

Additionally, the scale is significant because the multi-tenant data sources provide a continuous stream of testing activity, and our users require quick data refreshes as well as historical context for up to a decade due to compliance and regulatory demands. Finally, data integrity is of paramount importance.

Software 52

Software Data Lake Testing Cost-Benefit 52

FineReport

MAY 31, 2023

The financial KPI dashboard presents a comprehensive snapshot of key indicators, enabling businesses to make informed decisions, identify areas for improvement, and align their strategies for sustained success. Ensuring seamless data integration and accuracy across these sources can be complex and time-consuming.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

Wayne Yaddow

FEBRUARY 26, 2025

Photo by Markus Spiske on Unsplash Introduction Senior data engineers and data scientists are increasingly incorporating artificial intelligence (AI) and machine learning (ML) into data validation procedures to increase the quality, efficiency, and scalability of data transformations and conversions.

Data Transformation 52

Data Transformation Testing Data-driven Data Quality 52

Alation

JULY 28, 2022

“Cloud data warehouses can provide a lot of upfront agility, especially with serverless databases,” says former CIO and author Isaac Sacolick. There are tools to replicate and snapshot data, plus tools to scale and improve performance.” Data quality /wrangling. Ability to move out/costs of data egress.

Data Warehouse 69

Data Warehouse Cost-Benefit Data-driven Data Governance 69

AWS Big Data

JUNE 12, 2023

Acting as a bridge between producer and consumer apps, it enforces the schema, reduces the data footprint in transit, and safeguards against malformed data. AWS Glue is an ideal solution for running stream consumer applications, discovering, extracting, transforming, loading, and integrating data from multiple sources.

Management 93

Management Metadata Internet of Things Testing 93

Smarten

DECEMBER 5, 2024

Without a comprehensive understanding of data, businesses can make risky decisions, misunderstand data integrity and depend heavily on information that is misleading, flawed or riddled with errors.

Key Performance Indicator 64

Key Performance Indicator KPI Measurement Data Quality 64

erwin

MAY 17, 2021

However, if we’ve learned anything, isn’t it that data governance is an ever-evolving, ever-changing tenet of modern business? We explored the bottlenecks and issues causing delays across the entire data value chain. The report has a lot to unpack, but here is a snapshot of some other key findings: Time is a major factor.

Data Governance 99

Data Governance Data Quality Snapshot Reporting 99

erwin

JUNE 17, 2021

However, if we’ve learned anything, isn’t it that data governance is an ever-evolving, ever-changing tenet of modern business? We explored the bottlenecks and issues causing delays across the entire data value chain. The report has a lot to unpack, but here is a snapshot of some other key findings: Time is a major factor.

Data Governance 59

Data Governance Data Quality Snapshot Reporting 59

CIO Business Intelligence

NOVEMBER 25, 2024

Because core data has resided in LeeSar’s legacy system for more than a decade, “a fair amount of effort was required to ensure we were bringing clean data into the Oracle platform, so it has required an IT and functional team partnership to ensure the data is accurate as it is migrated.”

Digital Transformation 131

Digital Transformation Data Warehouse Data Governance Enterprise 131

DataKitchen

JANUARY 23, 2023

It allows organizations to see how data is being used, where it is coming from, its quality, and how it is being transformed. DataOps Observability includes monitoring and testing the data pipeline, data quality, data testing, and alerting. Data lineage is static and often lags by weeks or months.

Testing 130

Testing Data Governance Data Quality Data-driven 130