erwin

AUGUST 7, 2019

The process begins with the target or data end point, and then traversing the processes, applications, and ETL tasks in reverse from the target. The data sources that feed the ETL process are added to a “task list,” and the process is repeated for each of those sources. At each stage, the discovered pieces of lineage are documented.

Metadata 90

Metadata Data Governance Data Quality Data Warehouse 90

Octopai

APRIL 5, 2020

The solution to such problems is automated BI intelligence – a comprehensive platform that includes automated data lineage, data discovery, and business glossary. With an automated metadata management platform, data lineage is another box checked on your to-do list, amongst automated business glossary and automated data discovery.

Metadata 52

Metadata Data Quality Reporting Management 52

erwin

DECEMBER 12, 2019

What Is Metadata? It answers these important questions: What data do we have? Organizations don’t know what they don’t know, and this problem is only getting worse. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance. Where is it now?

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. But the attempts to standardize data across the entire enterprise haven’t produced the desired results.

Data Governance 40

Data Governance Risk Metadata Management 40

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. Data governance is a critical building block across all these approaches, and we see two emerging areas of focus.

Data Governance 94

Data Governance Unstructured Data Metadata Data Lake 94

Octopai

DECEMBER 30, 2019

But how can you do that when your data is scattered throughout multiple BI systems such as ETL tools, databases and reporting tools? Once you’ve actually found your data, you have to be able to understand your data – what it means, where it came from, where it’s being used throughout the various systems in your environment.

Reporting 54

Reporting Metadata Business Intelligence Management 54

erwin

DECEMBER 12, 2019

What Is Metadata? It answers these important questions: What data do we have? Organizations don’t know what they don’t know, and this problem is only getting worse. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance. Where is it now?

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

Jet Global

JULY 2, 2019

The sheer scale of data being captured by the modern enterprise has necessitated a monumental shift in how that data is stored. 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. Taking a Dip.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

AWS Big Data

NOVEMBER 16, 2023

However, what if access controls need to restrict only partial aspects of a field, not the entire field? better price-performance than any other cloud data warehouses. better price-performance than any other cloud data warehouses. For more information, refer to Amazon Redshift database encryption.

Enterprise 81

Enterprise Data Warehouse Snapshot Cost-Benefit 81

erwin

DECEMBER 17, 2020

What is Microsoft’s Common Data Model (CDM), and why is it so powerful? Imagine if every person in your organization spoke a different language, and you had no simple way to translate what they were saying? By having a single definition of something, complex ETL doesn’t have to be performed repeatedly.

Modeling 90

Modeling Metadata Data-driven Data Lake 90

erwin

FEBRUARY 6, 2020

So, what should you do? 3) Automate Code Generation: Mapping data elements to their sources within a single repository to determine data lineage and harmonize data integration across platforms reduces the need for specialized, technical resources with knowledge of ETL and database procedural code. The answer is clear.

Management 144

Management Data Governance Cost-Benefit Metadata 144

erwin

FEBRUARY 4, 2021

What can you do to reverse the 80/20 rule and subsequently overcome data governance bottlenecks? Mapping data elements to their sources within a single repository to determine data lineage and harmonize data integration across platforms reduces the need for specialized, technical resources with knowledge of ETL and database procedural code.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

Octopai

JANUARY 12, 2020

In my many encounters with BI professionals, I always start by asking what use case relating to metadata management and data lineage is most challenging to their team. Here’s what I found: Data always tells the truth, even when it lies. From Data Analysts, BI Architects, Developers, and Data Governance Leaders to IT and BI Managers.

Metadata 57

Metadata Management Data Governance Reporting 57

erwin

FEBRUARY 19, 2021

What Is Metadata? A strong data management strategy and supporting technology enables the data quality the business requires, including data cataloging (integration of data sets from various sources), mapping, versioning, business rules and glossaries maintenance and metadata management (associations and lineage). Where is it now?

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

Octopai

DECEMBER 12, 2021

What enables you to use all those gigabytes and terabytes of data you’ve collected? Metadata is the pertinent, practical details about data assets: what they are, what to use them for, what to use them with. What is a metadata management tool? What are examples of metadata management tools?

Metadata 93

Metadata Management Data Quality Data Governance 93

erwin

MAY 27, 2020

What’s desperately needed is a way to understand the relationships and interconnections between so many entities in data sets in detail. What, then, should users look for in a data modeling product to support their governance/intelligence requirements in the data-driven enterprise? Nine Steps to Data Modeling.

Modeling 98

Modeling Metadata Data Governance Visualization 98

Octopai

FEBRUARY 27, 2020

Data sources are growing nonstop, and as soon as you think you have everything under control, more data new comes along and you’re back to square one, trying to figure out what caused a particular error in a report, for example. So how do you choose which one is right for you and your BI environment? Let’s dig in.

Metadata 52

Metadata Data Warehouse Reporting Software 52

Alation

JANUARY 25, 2022

Who uses what asset when? What can we learn from these hidden systems? Data fabric is now on the minds of most data management leaders. In our previous blog, Data Mesh vs. Data Fabric: A Love Story , we defined data fabric and outlined its uses and motivations. The data catalog is a foundational layer of the data fabric.

Metadata 52

Metadata IT Metrics Data-driven 52

Octopai

MAY 11, 2020

Let’s look at just what data literacy is, why it’s important for your business, and how you can use BI metadata management tools to improve data literacy in your company. What is Data Literacy? The business analyst is also unable to provide a solution within the short timeframe and requests the ETL developer’s assistance.

Metadata 52

Metadata Business Intelligence Consulting Reporting 52

erwin

APRIL 16, 2024

This software offers a host of data governance functionality, including metadata management, business glossaries, data lineage, data exploration, data quality management , data marketplace , and code generation for data pipeline automation. Business Glossaries – what is the business meaning of our data? Governance is difficult.

Metadata 52

Metadata Data Quality Data Governance Modeling 52

erwin

NOVEMBER 6, 2020

We do this through an open, configurable and flexible metamodel across data catalog, business glossary, and self-service data discovery capabilities with built-in automation. erwin DC helps organizations learn what data they have and where it’s located, including data at rest and in motion.

Data Governance 97

Data Governance Metadata Data-driven Visualization 97

Andrew White

MARCH 31, 2023

What I Did at the Conference I had the pleasure and opportunity to present to attendees four times: An overview of our modern data and analytics strategy and operating model. I don’t know what it is. For governance, business is already interested but they would only really care about what should be named a glossary.

Analytics 40

Analytics Marketing Visualization Data-driven 40