Cloudera

JANUARY 26, 2024

This will allow a data office to implement access policies over metadata management assets like tags or classifications, business glossaries, and data catalog entities, laying the foundation for comprehensive data access control. Glossaries and terms created for the three main business units: “Finance,” “Insurance,” and “Automotive.”

Metadata 73

Metadata Data Governance Management Finance 73

Ontotext

JANUARY 21, 2021

Quoting the EDMC web site, The Financial Industry Business Ontology (FIBO) defines the sets of things that are of interest in financial business applications and the ways that those things can relate to one another. spreadsheets, relational databases, XML documents) that describe the business of finance.

Modeling 72

Modeling Finance Technology Publishing 72

IBM Big Data Hub

MARCH 25, 2022

To help you understand your data, the catalog contains a business glossary, taxonomies, data assets (data products) with relevant information like quality scores, business terms associated with each data elements, data owners, activity information, related assets and more.

Metadata 104

Metadata Data Quality Data Governance Data Integration 104

erwin

JULY 17, 2019

It helps solve the lack of visibility and control over “data at rest” in databases, data lakes and data warehouses and “data in motion” as it is integrated with and used by key applications. Analyze metadata – Understand how data relates to the business and what attributes it has.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

Cloudera

SEPTEMBER 28, 2020

Lineage and chain of custody, advanced data discovery and business glossary. This customer’s workloads leverage batch processing of data from 100+ backend database sources like Oracle, SQL Server, and traditional Mainframes using Syncsort. Document the operating system versions, database versions, and JDK versions.

Testing 132

Testing Metadata Risk Data Science 132

Octopai

DECEMBER 12, 2021

The average data intelligence stack is comprised of the following components – ETL, data warehouse/database, analysis, and reporting – for each of which you may use one or multiple systems. Business glossaries. Business glossaries are important for: reducing redundancies.

Metadata 98

Metadata Management Data Quality Data Governance 98

Alation

APRIL 26, 2021

This is where a data dictionary and business glossary become useful for getting both your business and IT teams on the same page. Data terms could be database schemas, tables, or columns. For complex projects, like data wrangling, modeling, or database design, a data dictionary is a helpful resource, especially to new hires.

IT 52

IT Machine Learning Metrics Cost-Benefit 52

Octopai

SEPTEMBER 21, 2020

More specifically, data dictionaries are inventories of database schemas, columns, and all tables that exist within an enterprise. Found within a data dictionary are various properties that highlight each dataset in your system: Business Definitions Constraints Data Attributes Length Relations to Other Data Fields Type Valid/ Default Values.

Metadata 52

Metadata Enterprise Structured Data Business Intelligence 52

Cloudera

MARCH 4, 2024

This will allow a data office to implement access policies over metadata management assets like tags or classifications, business glossaries, and data catalog entities, laying the foundation for comprehensive data access control. Glossaries and terms created for the three main business units: “Finance,” “Insurance,” and “Automotive.”

Metadata 52

Metadata Data Governance Management Finance 52

erwin

MARCH 8, 2019

While most companies hold the lion’s share of operational data within relational databases, it also can live in many other places and various other formats. Then the metadata is classified against a semantic model held in a business glossary. In both scenarios, we cataloged data assets and mapped them to a business glossary.

Data Governance 65

Data Governance Metadata Data Warehouse Data Quality 65

AWS Big Data

JULY 29, 2024

As an administrator, you can now create parameter sets on top of DefaultDataWarehouseBlueprint by providing parameters such as cluster, database, and an AWS secret. As a final prerequisite, you need to create a catalog_sales table in the default Redshift database ( dev ). AS wholesale_cost, 45.0 as list_price, 43.0 as sales_price, 2.0

Data Warehouse 109

Data Warehouse Sales Metadata Publishing 109

AWS Big Data

APRIL 3, 2024

Challenges One of the most common questions we get from customers is related to displaying data quality scores in the Amazon DataZone business data catalog to let business users have visibility into the health and reliability of the datasets. We use this data source to import metadata information related to our datasets. Choose Next.

Data Quality 116

Data Quality Visualization Metadata Metrics 116

erwin

FEBRUARY 4, 2021

In fact, we found that close to 70 percent of our survey respondents spent an average of 10 or more hours per week on data-related activities, most of it searching for and preparing data. What can you do to reverse the 80/20 rule and subsequently overcome data governance bottlenecks?

Data Governance 89

Data Governance Metadata Data Quality IoT 89

erwin

AUGUST 1, 2023

Highlights: Introducing erwin ER360, a visualization and collaboration portal Enterprise data modeling compliance (Workgroup Edition) Enterprise glossary (Workgroup Edition) Bi-directional metadata integration and exchange with erwin Data Intelligence Databricks Unity Catalog Integration Data management is a team sport.

Modeling 52

Modeling Metadata Data Quality Data Governance 52

erwin

APRIL 16, 2024

erwin® by Quest is well-known for its data modeling tool, erwin® Data Modeler by Quest , used to draw data models and engineer database schemas across the enterprise. Business Glossaries – what is the business meaning of our data? This includes data at rest, details of databases, schemas, tables and views.

Metadata 52

Metadata Data Quality Data Governance Data Processing 52

AWS Big Data

AUGUST 5, 2024

It is crucial to organize assets into cohesive units with relational context to maximize the potential of data as a product and drive business use cases. The sales data engineer, acting as the data producer, owns this data and understands the common requests from customers to access these different data assets for sales-related analysis.

Metadata 57

Metadata Sales Data Lake Publishing 57

Jet Global

JULY 2, 2019

From the humble database through to data warehouses , data stores have grown both in scale and complexity to keep pace with the businesses they serve, and the data analysis now required to remain competitive. The sheer scale of data being captured by the modern enterprise has necessitated a monumental shift in how that data is stored.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

AWS Big Data

FEBRUARY 29, 2024

To further simplify the discovery and introspection between business glossaries and technical data catalogs, you can use Amazon DataZone for business users to discover and share data stored across data silos. For detailed implementation guidance, refer to Unstructured data management and governance using AWS AI/ML and analytics services.

Data Governance 122

Data Governance Unstructured Data Metadata Data Lake 122

Alation

OCTOBER 5, 2021

They may simply move and copy data without going through all of the necessary protocols related to data security and other best-practice standards. For example, it may be helpful to track specific daily activities or benchmarks for all data-related processes. Top 3 Roadblocks to Successful Data Governance. Data governance and AI.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

Octopai

SEPTEMBER 10, 2019

Let’s take “data dictionary” and “business glossary” for example. Descriptions can include data attributes, fields, or other properties such as data type, length, valid values, default values, relations with other data fields, business definition, transformation rules business rules, constraints etc.—anything Not really. LEARN MORE.

Metadata 40

Metadata Data Governance Cost-Benefit Reporting 40

Octopai

FEBRUARY 27, 2020

The business intelligence & analytics environment becomes further complex when you consider the multiple systems in place processing data (database (DWH), ETL, analysis, reporting) that are all likely housing different descriptions of the same data, creating ONE. Why Spend Hours & Days on Data Mapping? The Octopai Difference.

Metadata 52

Metadata Data Warehouse Reporting Structured Data 52

Alation

SEPTEMBER 8, 2022

Amazon Relational Database Service (Amazon RDS). This includes defining and enforcing policies; security, management of personal information; creating data catalogs and glossaries; data lineage, data masking, and secure data federation.”. We’ve also built connectors to key AWS data tools including; Amazon Redshift. Amazon EMR.

Data Analytics 52

Data Analytics Analytics Data Governance Strategy 52

Ontotext

AUGUST 31, 2023

Knowledge graphs are large networks of entities representing real-world objects, like people and organizations, and abstract concepts, like professions and topics, and their semantic relations and attributes. This layer is a step ahead of relational databases because you can query along these relations and across multiple data sources.

Modeling 64

Modeling Knowledge Discovery Optimization Enterprise 64

Peter James Thomas

AUGUST 29, 2018

As stressed in other recent In-depth interviews [1] , data is a critical asset in banking and related activities, so Christopher’s role is a pivotal one. Additionally I have a direct set of reports who drive the standard solutions around tooling, governance, quality, data protection , Data Ethics , Metadata and data glossary and models.

Data-driven 61

Data-driven Cost-Benefit Metadata Technology 61

Alation

JUNE 20, 2023

Not hitting that date — with our legacy databases as well as getting Heights integrated — would not have us in a position to be prepared for the regulatory changes. The issue was having information in databases dating back to brands that we no longer have. There’s been close to 30 years of expansion around these databases.

Technology 52

Technology Data Governance Data Warehouse Reporting 52

AWS Big Data

AUGUST 14, 2023

DPPM does not exist in a vacuum—by its nature, DPPM is closely related to and interdependent with enterprise architecture practices like business capability management and project portfolio management. Approves changes to IAM procedures relating to data products. Infancy Data mesh as a concept is still relatively new.

Management 98

Management Risk Measurement Optimization 98

AWS Big Data

NOVEMBER 16, 2023

For more information, refer to Amazon Redshift database encryption. You can use static access controls to restrict access to databases, tables, rows, and columns to explicit users, groups, or roles. You directly build your business vocabulary into the application and generate documentation and business glossary along with the code.

Enterprise 109

Enterprise Data Warehouse Snapshot Cost-Benefit 109

Alation

DECEMBER 15, 2021

Maintains data consistency: Standardizing data fields across databases and departments makes data easy to manipulate and navigate, (and make consistent decisions from). Data governance sets out the foundation for organizing data and its related assets, and establishes policies and practices for keeping data secure and usable.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

datapine

AUGUST 29, 2022

This process often comes with challenges related to scalability, consistency, reliability, efficiency, and maintainability, not to mention dealing with the number of software and technologies available in the market. Managing data in its full scope is not an easy task, especially when it comes to system design.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

O'Reilly on Data

FEBRUARY 18, 2025

The company decided to build an AI agent for real estate agents to help with a large variety of tasks related to different aspects of the job. At the end of this chapter, youll find a helpful glossary. Rechats Success Story Rechat is a great example of how focusing on processes can lead to real improvements.

Testing 173

Testing Metrics Modeling Measurement 173

erwin

MARCH 18, 2025

Unrivaled platform connectivity Gone are the days of being limited to a handful of database types. erwin Data Modeler connects seamlessly to all your data sources, including relational, NoSQL, cloud and big data environments. Git integration and version control: Keep track of changes and ensure model consistency.

Modeling 59

Modeling Data Governance Metadata Visualization 59