Astera

MAY 8, 2024

A business glossary breaks down complex terms into easy-to-understand definitions, ensuring that everyone in the organization, from the newest recruit to the CEO, is on the same page regarding business language. Provide quick access to clear definitions for effective communication in daily operations.

Data Governance 52

Data Governance Government Healthcare Data Quality 52

Astera

MAY 22, 2024

It ensures consistent data policies and rules are applied, creating data reliability. Building a solid data governance framework involves several key pillars. Data owners are responsible for defining how their data asset is used, creating a sense of stewardship, and promoting responsible data practices.

Data Governance 52

Data Governance Government Data Discovery Data Security 52

Astera

JUNE 4, 2024

This feature is valuable for understanding data dependencies and ensuring data quality across the entire data lifecycle. While data dictionaries offer some lineage information for specific fields within a database, data catalogs provide a more comprehensive lineage view across various data sources.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Astera

MARCH 28, 2024

The former offers a comprehensive view of an organization’s data assets. It facilitates data discovery and exploration by enabling users to easily search and explore available data assets. It typically includes data definitions, business rules, data ownership, usage policies, and business glossary terms.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Tableau

AUGUST 21, 2023

Catalog Enhanced data trust, visibility, and discoverability Tableau Catalog automatically catalogs all your data assets and sources into one central list and provides metadata in context for fast data discovery. Using geo hierarchies, you can go deeper into your data and find new insights.

Visualization 97

Visualization Monitoring Data Quality Data Discovery 97

Astera

APRIL 24, 2024

A data governance framework is a structured way of managing and controlling the use of data in an organization. It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards.

Data Governance 52

Data Governance Government Data Architecture Data Quality 52

Astera

FEBRUARY 28, 2024

The data warehouse schema sets the rules, defining the structure with tables, columns, keys, and relationships. It doesn’t just store data but also metadata like data definitions, sources, lineage, and quality insights.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

FEBRUARY 27, 2024

The data warehouse schema sets the rules, defining the structure with tables, columns, keys, and relationships. It doesn’t just store data but also metadata like data definitions, sources, lineage, and quality insights. Metadata describes the structure, meaning, origin, and data usage.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

FEBRUARY 27, 2024

The data warehouse schema sets the rules, defining the structure with tables, columns, keys, and relationships. It doesn’t just store data but also metadata like data definitions, sources, lineage, and quality insights. Metadata describes the structure, meaning, origin, and data usage.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

MARCH 20, 2024

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Management of all enterprise data, including master data.

Data Management 52

Data Management Master Data Management Government Data Warehouse 52

Data Pine

MAY 31, 2022

But before we get to our cloud computing challenges, let’s start with a simple explanation of the general characteristics and basic definitions. We mentioned the hot debate surrounding data protection in our definitive business intelligence trends guide. Exclusive Bonus Content: Download our free cloud computing tips!

Cloud Computing 95

Cloud Computing Cybersecurity Business Intelligence Business Intelligence 95

Data Pine

SEPTEMBER 27, 2022

Definitely, one of the best books for SQL beginners! 3) “Practical SQL: A Beginner’s Guide to Storytelling with Data” by Anthony DeBarros. Analyze data as a pro, even if you are a beginner” is the premise of the book by journalist and data scientist, Anthony DeBarros. stars rating on Amazon so far.

IBM cost 117

IBM cost Data Warehouse Business Intelligence Business Intelligence 117

Astera

MAY 14, 2024

This metadata variation ensures proper data interpretation by software programs. Process metadata: tracks data handling steps. It ensures data quality and reproducibility by documenting how the data was derived and transformed, including its origin.

Government 52

Government Data Governance Master Data Management Documentation 52

Data Pine

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 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144

Data Pine

MAY 17, 2021

1) What Is Data Discovery? 2) Why is Data Discovery So Popular? 3) Data Discovery Tools Attributes. 5) How To Perform Smart Data Discovery. 6) Data Discovery For The Modern Age. We live in a time where data is all around us. So, what is data discovery?

Data Discovery 64

Data Discovery Visualization Data Visualization Business Intelligence 64

ElegantJ BI

MARCH 19, 2021

When considering the advantages of data popularity and sharing, one must also consider that not all popular data will be high-quality data (and vice versa). So, there is definitely a need to provide both approaches in data analysis.

Data Quality 130

Data Quality Agile Business Intelligence Business Intelligence 130

ElegantJ BI

MARCH 19, 2021

When considering the advantages of data popularity and sharing, one must also consider that not all popular data will be high-quality data (and vice versa). So, there is definitely a need to provide both approaches in data analysis. Original Post : Data Agility and ‘Popularity’?

Data Quality 130

Data Quality Agile Business Intelligence Business Intelligence 130

ElegantJ BI

MARCH 19, 2021

When considering the advantages of data popularity and sharing, one must also consider that not all popular data will be high-quality data (and vice versa). So, there is definitely a need to provide both approaches in data analysis. Original Post : Data Agility and ‘Popularity’?

Data Quality 130

Data Quality Agile Business Intelligence Business Intelligence 130

Astera

JUNE 14, 2024

Instead of relying solely on manual efforts, automated data governance uses reproducible processes to maintain data quality, enrich data assets, and simplify workflows. This approach streamlines data management, maintains data integrity, and ensures consistent data quality and context over time.

Data Governance 40

Data Governance Government Data Quality Data Discovery 40

Astera

DECEMBER 6, 2024

Human Oversight and Fine-Tuning NLP : Requires explicit rule definitions or supervised learning processes, making human intervention critical at the design stage. LLMs can simplify complex data integration processes by crafting data mapping suggestions, or identifying schema mismatches when consolidating data from multiple sources.

Documentation 52

Documentation E-Commerce Artificial Intelligence Data Warehouse 52