datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Peter James Thomas

MARCH 9, 2020

The author, engaged in measuring maturity – © Jennifer Thomas Photography – view full photo. In the thirteen years that have passed since the beginning of 2007, I have helped ten organisations to develop commercially-focused Data Strategies [1].

Measurement 67

Measurement Strategy Data Strategy Modeling 67

Alation

MARCH 22, 2022

DataOps requires an array of technology to automate the design, development, deployment, and management of data delivery, with governance sprinkled on for good measure. This produces end-to-end lineage so business and technology users alike can understand the state of a data lake and/or lake house. Transparency is key.

Metadata 52

Metadata Cost-Benefit Data Quality Data Lake 52

Sisense

OCTOBER 15, 2020

Note that during this entire process, the user didn’t need to define anything except data transformations: The processing job is automatically orchestrated, and exactly-once data consistency is guaranteed by the engine. Finally, click “Publish” in the upper right hand corner, and you’re ready to create a dashboard!

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

AWS Big Data

OCTOBER 11, 2023

Traditionally, such a legacy call center analytics platform would be built on a relational database that stores data from streaming sources. Data transformations through stored procedures and use of materialized views to curate datasets and generate insights is a known pattern with relational databases.

Management 107

Management Metadata Analytics Dashboards 107

AWS Big Data

MARCH 3, 2023

It has been well published since the State of DevOps 2019 DORA Metrics were published that with DevOps, companies can deploy software 208 times more often and 106 times faster, recover from incidents 2,604 times faster, and release 7 times fewer defects. Fixed-size data files avoid further latency due to unbound file sizes.

Software 52

Software Data Lake Testing Cost-Benefit 52

DataKitchen

APRIL 26, 2021

GSK’s DataOps journey paralleled their data transformation journey. Workiva uses a broad range of metrics to measure success. Measure, measure, measure is really a critical piece. Organizations should be optimizing and driving their data teams with data.” . He suggested.

Measurement 246

Measurement Metrics Data-driven Testing 246