erwin

JANUARY 7, 2021

Data’s Move to the Cloud Hits Warp Speed: As a result of COVID-19, enterprises are expediting their digital transformation and cloud migration efforts at record rates, with no end in sight. However, that definition is too narrow in terms of AI’s relation to data governance. Click here to learn more and register.

Metadata 98

Metadata Data Governance Internet of Things IoT 98

CIO Business Intelligence

FEBRUARY 14, 2024

The other problem is gen AI tools and users not seeing information that should be included because the metadata tagging and sensitivity labels haven’t been correctly applied to the data. Do you want to have an even more powerful search capability with AI in your data, and to be unsure about how you’ve organized that data?”

IT 142

IT Metadata Data-driven Management 142

Alation

APRIL 18, 2023

In this blog, we’ll cover the definition of data profiling, top use cases, and share important techniques and best practices for data profiling today. Definition and purpose of data profiling Data profiling is the process of analyzing and assessing the quality, structure, and content of data. What is data profiling?

IT 52

IT Data Quality Metadata Data Governance 52

erwin

NOVEMBER 28, 2019

As the IEAI’s definition indicates, enterprise architecture tools are key drivers in ensuring such alignment because they help organizations understand their systems, applications and assets from a holistic, top-down perspective. Related content: 2019 Gartner Magic Quadrant for Metadata Management Solutions.

Enterprise 145

Enterprise Data-driven Data Governance Digital Transformation 145

Ontotext

JULY 13, 2023

Knowledge graphs allow organizations to enrich it with semantic metadata, making it ready to be used across teams and enterprise systems. Ontotext’s GraphDB is a knowledge graph database that allows you to store and query metadata created in PoolParty using RDF (Resource Description Framework) and SPARQL (RDF query language).

Enterprise 52

Enterprise Metadata Digital Transformation Software 52

Alation

FEBRUARY 13, 2020

A Data Catalog is a collection of metadata, combined with data management and search tools, that helps analysts and other data users to find the data that they need, serves as an inventory of available data, and provides information to evaluate fitness data for intended uses. Figure 1 – Data Catalog Metadata Subjects. Conclusion.

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

erwin

FEBRUARY 19, 2021

Metadata management is key to wringing all the value possible from data assets. What Is Metadata? Analyst firm Gartner defines metadata as “information that describes various facets of an information asset to improve its usability throughout its life cycle. It is metadata that turns information into an asset.”.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

Alation

OCTOBER 26, 2021

A business glossary helps an organization agree and align on internal definitions. By using a business glossary, financial analysts can save untold hours previously spent on reconciling discrepancies in definitions, formulas, and reporting from other areas of the business. And the formulas map to the data used to create them. “We

Finance 52

Finance Data Transformation Enterprise Metrics 52

Alation

JUNE 22, 2021

While this is an excellent working definition, we believe it’s helpful to think of data literacy by analogy to Maslow’s Hierarchy , where needs (or skills) are layered atop each other. Nowadays, sites like Wikipedia use metadata to reduce the risk of a less media-literate individual getting hoodwinked. What is Data Literacy?

Data Governance 64

Data Governance Data-driven Metadata Visualization 64

AWS Big Data

MARCH 13, 2024

The Data Catalog provides metadata that allows analytics applications using Athena to find, read, and process the location data stored in Amazon S3. The crawlers will automatically classify the data into JSON format, group the records into tables and partitions, and commit associated metadata to the AWS Glue Data Catalog. Choose Run.

Analytics 91

Analytics IoT Metadata Internet of Things 91

Ontotext

SEPTEMBER 7, 2023

But the use cases that it’s very good at have really exploded, particularly around digital transformation. Doug : Definitely. I’ve been given a mandate for digital transformation. Malcolm : So, what I’ve been told over the last few years is that the graph is not necessarily that new. Would you agree?

Technology 59

Technology Visualization Digital Transformation Management 59

Cloudera

AUGUST 30, 2018

You could think of it as an insight factory, your innovation environment, and the engine that powers your digital transformation. Multi-function analytics, enterprise-grade features, and environment-spanning capabilities are delivering on the promise of digital transformation for many of our customers today.

Enterprise 40

Enterprise Data-driven Digital Transformation Machine Learning 40

Alation

JUNE 14, 2021

We discuss how they are running the business of IT and cover subjects like digital transformation, business/IT alignment, IT leadership, and leading innovation. To support data security, an effective data catalog should have features, like a business glossary, wiki-like articles, and metadata management.

Data Governance 97

Data Governance Recreation/Entertainment Data Lake Digital Transformation 97

Alation

FEBRUARY 13, 2020

A broader definition of Business Intelligence. To interpret the study accurately, it’s important to distinguish that Dresner’s definition of BI is broader than BI tools. In the study, 75% of the 770 survey respondents indicated having difficulty in locating and accessing analytic content including data, models, and metadata.

Business Intelligence 52

Business Intelligence Machine Learning Marketing Metadata 52

erwin

NOVEMBER 21, 2019

As the IEAI’s definition indicates, enterprise architecture tools are key drivers in ensuring such alignment because they help organizations understand their systems, applications and assets from a holistic, top-down perspective. Roles and titles will continue to evolve to meet new challenges in the face of digital transformation.

Enterprise 77

Enterprise Data-driven Data Governance Digital Transformation 77

erwin

NOVEMBER 21, 2019

As the IEAI’s definition indicates, enterprise architecture tools are key drivers in ensuring such alignment because they help organizations understand their systems, applications and assets from a holistic, top-down perspective. Roles and titles will continue to evolve to meet new challenges in the face of digital transformation.

Enterprise 72

Enterprise Data-driven Data Governance Digital Transformation 72

erwin

MARCH 4, 2021

However, while digital transformation and other data-driven initiatives are desired outcomes, few organizations know what data they have or where it is, and they struggle to integrate known data in various formats and numerous systems – especially if they don’t have a way to automate those processes. The What: Data Governance Defined.

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122

AWS Big Data

JUNE 22, 2023

How to create a table and load partitions in the Data Catalog using Athena Let’s begin by understanding how to create a table and load partitions using DDL (Data Definition Language) queries in Athena. We also can see the partition metadata on the AWS Glue console. Load the partitions using the command MSCK REPAIR TABLE.

Metadata 77

Metadata Management Recreation/Entertainment Optimization 77

AWS Big Data

NOVEMBER 15, 2023

Additionally, it incorporates BMW Group’s internal system to integrate essential metadata, offering a comprehensive view of the data across various dimensions, such as group, department, product, and applications. Data providers and consumers are the two fundamental users of a CDH dataset.

Dashboards 91

Dashboards Analytics Metadata Optimization 91

erwin

MARCH 14, 2019

Arguably, GDPR’s implementation can be viewed as an opportunity – a catalyst for digital transformation. Those organizations investing in data mapping tools with compliance as the main driver will definitely want to consider this opportunity and have it influence their decision as to which data mapping tool to adopt.

Metadata 81

Metadata Data Governance Digital Transformation Data-driven 81

Sisense

JULY 6, 2020

This is why dealing with data should be your top priority if you want your company to digitally transform in a meaningful way, truly become data-driven, and find ways to monetize its data. Inaccurate data leads to generating unreliable insights which, in the long run, lead the business in the wrong direction.

Enterprise 98

Enterprise Management Data Architecture Strategy 98

AWS Big Data

OCTOBER 11, 2023

The Data Catalog contains the table definition, which contains metadata about the data in the machine-readable file. Use the Data Catalog and transform the hospital price transparency data. The crawler can run on demand or on a schedule, and can crawl multiple machine-readable files in a single run.

Visualization 92

Visualization Dashboards Data-driven Gap analysis 92

Alation

MARCH 21, 2023

When it embarked on a digital transformation and modernization initiative in 2018, the company migrated all its data to AWS S3 Data Lake and Snowflake Data Cloud to provide accessibility to data to all users. Using Alation, ARC automated the data curation and cataloging process. “So

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Jen Stirrup

MARCH 29, 2023

By providing a unified view of the data, the semantic layer helps ensure that different users and reports use consistent definitions and calculations, thereby helping to provide a single view of the customer. The new SAP Datasphere catalog provides data lineage, metadata information, and quick searching capabilities across your SAP landscape.

Metadata 120

Metadata Data Warehouse Data Integration Business Intelligence 120

Laminar Security

AUGUST 23, 2023

Amidst these innovations, many businesses struggle to align their data security practices with the speed of digital transformation. Cloud data security is a challenge every business should tackle during their digital transformation journey. We only use your metadata for further analysis and reporting.

Cost-Benefit 52

Cost-Benefit Risk Digital Transformation Strategy 52

DataKitchen

JUNE 24, 2021

We needed to get the data from a centralized place into their hands so that they could get in the game of digital transformation.”. Their definition of DataOps was that we do some automation and check a record count. Initially, they didn’t understand the definition and they let alone understand the potential.

ROI 211

ROI Metrics Measurement Cost-Benefit 211

erwin

JULY 17, 2019

Having a clearly defined digital transformation strategy is an essential best practice for successful digital transformation. But what makes a viable digital transformation strategy? Constructing A Digital Transformation Strategy: Data Enablement. Digital Transformation Strategy: Smarter Data.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

AWS Big Data

AUGUST 14, 2023

Data products vs. data definitions The following figure illustrates how data definitions are defined and inherited throughout the lineage of data products. To prevent this, it can be useful to distinguish between data products and data definitions.

Management 75

Management Risk Measurement Optimization 75

Alation

AUGUST 26, 2021

It includes intelligence about data, or metadata. The earliest DI use cases leveraged metadata — EG, popularity rankings reflecting the most used data — to surface assets most useful to others. Cloud Transformation. Digital Transformation. Again, metadata is key. Data Intelligence and Metadata.

Metadata 64

Metadata Data Governance Dashboards Software 64

Alation

OCTOBER 4, 2022

Today, the rise of digital insurance companies and the changing risk landscape together drive the industry’s digital transformation. You lack universally agreed-upon definitions for basic terms like “customer”. Data policies establish and enable: Common definitions for data processes. Compliance requirements.

Insurance 52

Insurance Data Governance Risk Strategy 52

AWS Big Data

DECEMBER 21, 2023

After the data lands in Amazon S3, smava uses the AWS Glue Data Catalog and crawlers to automatically catalog the available data, capture the metadata, and provide an interface that allows querying all data assets. To ingest the data, smava uses a set of popular third-party customer data platforms complemented by custom scripts.

Data Lake 85

Data Lake Data Warehouse B2B Data-driven 85

Jet Global

DECEMBER 17, 2021

Automating Data Management to Transform Reporting Processes. In the context of group reporting, it is about, for example, ensuring consistent data definitions and charts of accounts across the organization. Standardization is the foundation or underpinning of automation and should be embraced first.

Reporting 52

Reporting Management Recreation/Entertainment Finance 52