erwin

JANUARY 17, 2020

Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

Octopai

JUNE 24, 2019

There are a number of scenarios that necessitate data governance tools. Businesses operating within strict industry regulations, utilizing analytics software, and/or regularly consolidating data in key subject areas will find themselves looking into data governance tools to help them achieve their goals.

Data Governance 58

Data Governance Metadata Unstructured Data Software 58

AWS Big Data

FEBRUARY 26, 2025

S3 Tables integration with the AWS Glue Data Catalog is in preview, allowing you to stream, query, and visualize dataincluding Amazon S3 Metadata tablesusing AWS analytics services such as Amazon Data Firehose , Amazon Athena , Amazon Redshift, Amazon EMR, and Amazon QuickSight. With AWS Glue 5.0,

Analytics 62

Analytics Data Lake Metadata Data Warehouse 62

CIO Business Intelligence

MARCH 6, 2024

SAP announced today a host of new AI copilot and AI governance features for SAP Datasphere and SAP Analytics Cloud (SAC). The company is expanding its partnership with Collibra to integrate Collibra’s AI Governance platform with SAP data assets to facilitate data governance for non-SAP data assets in customer environments. “We

Unstructured Data 129

Unstructured Data Dashboards Business Intelligence Data Governance 129

BI-Survey

MARCH 19, 2025

Before the ChatGPT era transformed our expectations, Machine Learning was already quietly revolutionizing data discovery and classification. Now, generative AI is taking this further, e.g., by streamlining metadata creation. The traditional boundary between metadata and the data itself is increasingly dissolving.

Metadata 52

Metadata Data-driven Unstructured Data Data Governance 52

Alation

DECEMBER 15, 2021

Yet high-volume collection makes keeping that foundation sound a challenge, as the amount of data collected by businesses is greater than ever before. An effective data governance strategy is critical for unlocking the full benefits of this information. Data governance requires a system.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

Alation

NOVEMBER 22, 2022

What Is Data Governance In The Public Sector? Effective data governance for the public sector enables entities to ensure data quality, enhance security, protect privacy, and meet compliance requirements. With so much focus on compliance, democratizing data for self-service analytics can present a challenge.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

CIO Business Intelligence

OCTOBER 13, 2023

Application data architect: The application data architect designs and implements data models for specific software applications. Information/data governance architect: These individuals establish and enforce data governance policies and procedures.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

CIO Business Intelligence

SEPTEMBER 11, 2024

A 2024 survey by Monte Carlo and Wakefield Research found that 100% of data leaders feel pressured to move forward with AI implementations even though two out of three doubt their data is AI-ready. Those organizations are sailing into the AI storm without a proper compass – a solid enterprise-wide data governance strategy.

Data Quality 118

Data Quality Unstructured Data Metadata Data Governance 118

Alation

APRIL 6, 2023

Data governance is traditionally applied to structured data assets that are most often found in databases and information systems. This blog focuses on governing spreadsheets that contain data, information, and metadata, and must themselves be governed. Simply put, metadata adds context.

Data Governance 52

Data Governance Metadata Cost-Benefit Structured Data 52

Cloudera

OCTOBER 7, 2021

Application Logic: Application logic refers to the type of data processing, and can be anything from analytical or operational systems to data pipelines that ingest data inputs, apply transformations based on some business logic and produce data outputs.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

Domino Data Lab

JULY 2, 2019

In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated. Less data gets decompressed, deserialized, loaded into memory, run through the processing, etc.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

erwin

JUNE 27, 2019

Additional challenges, such as increasing regulatory pressures – from the General Data Protection Regulation (GDPR) to the Health Insurance Privacy and Portability Act (HIPPA) – and growing stores of unstructured data also underscore the increasing importance of a data modeling tool.

Measurement 81

Measurement Modeling Unstructured Data Metadata 81

Andrew White

DECEMBER 9, 2019

The outline of the call went as follows: I was taking to a central state agency who was organizing a data governance initiative (in their words) across three other state agencies. All four agencies had reported an independent but identical experience with data governance in the past. An expensive consulting engagement.

Analytics 66

Analytics Data Lake Data Governance Data Warehouse 66

AWS Big Data

JUNE 26, 2024

Administrators can customize Amazon DataZone to use existing AWS resources, enabling Amazon DataZone portal users to have federated access to those AWS services to catalog, share, and subscribe to data, thereby establishing data governance across the platform.

Data Lake 118

Data Lake Data Warehouse Unstructured Data Data Governance 118

IBM Big Data Hub

JANUARY 17, 2023

Essential components of a data lakehouse architecture and what makes an open data lakehouse. At the core of a data lakehouse architecture includes the storage, metadata service and the query engine, and typically a data governance component made up of a policy engine and a data dictionary.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

AWS Big Data

JUNE 9, 2023

Data in customers’ data lakes is used to fulfil a multitude of use cases, from real-time fraud detection for financial services companies, inventory and real-time marketing campaigns for retailers, or flight and hotel room availability for the hospitality industry.

Data Lake 129

Data Lake Metadata Statistics Optimization 129

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

Data Lake 121

Data Lake Sales Data Warehouse Snapshot 121

Ontotext

MARCH 18, 2020

According to an article in Harvard Business Review , cross-industry studies show that, on average, big enterprises actively use less than half of their structured data and sometimes about 1% of their unstructured data. Finally, they combine classical technologies like data governance and data management with modern analytics.

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

Alation

JUNE 2, 2022

In part one of this series, I discussed how data management challenges have evolved and how data governance and security have to play in such challenges, with an eye to cloud migration and drift over time. A data catalog is a central hub for XAI and understanding data and related models. Other Technologies.

Modeling 52

Modeling Data Governance Statistics Unstructured Data 52

IBM Big Data Hub

JANUARY 5, 2023

Monitor and identify data quality issues closer to the source to mitigate the potential impact on downstream processes or workloads. Efficiently adopt data platforms and new technologies for effective data management. Apply metadata to contextualize existing and new data to make it searchable and discoverable.

Data Architecture 52

Data Architecture Data Quality Strategy Data Lake 52

IBM Big Data Hub

AUGUST 4, 2023

Data democratization instead refers to the simplification of all processes related to data, from storage architecture to data management to data security. It also requires an organization-wide data governance approach, from adopting new types of employee training to creating new policies for data storage.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

Cloudera

SEPTEMBER 15, 2022

Mark: While most discussions of modern data platforms focus on comparing the key components, it is important to understand how they all fit together. The collection of source data shown on your left is composed of both structured and unstructured data from the organization’s internal and external sources.

Data Lake 83

Data Lake Data Architecture Data-driven Data Warehouse 83

Alation

FEBRUARY 10, 2022

Let’s discuss what data classification is, the processes for classifying data, data types, and the steps to follow for data classification: What is Data Classification? Either completed manually or using automation, the data classification process is based on the data’s context, content, and user discretion.

Data Governance 52

Data Governance Risk Insurance Business Objectives 52

Alation

MARCH 21, 2023

To fully realize data’s value, organizations in the travel industry need to dismantle data silos so that they can securely and efficiently leverage analytics across their organizations. What is big data in the travel and tourism industry? What are common data challenges for the travel industry?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

CIO Business Intelligence

MARCH 29, 2022

. • You have data but don’t use it. Why does valuable data so often go unused? Lack of annotation with the right metadata is a contributing factor. An even larger issue is that people may not know how to see value in data. Recognizing what data can tell you is an acquired skill for people beyond just data scientists.

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

TDAN

DECEMBER 4, 2024

The Irish satirist Jonathan Swift wrote “Gulliver’s Travels” almost 300 years ago, but the story of Lemuel Gulliver’s journey to Lilliput and beyond has resonance for data leaders today. There are important lessons to learn from the little people of Lilliput and the challenges encountered by the eponymous Gulliver.

Data Architecture 52

Data Architecture Unstructured Data Data Governance Metadata 52

Laminar Security

MAY 3, 2023

They define DSPM technologies this way: “DSPM technologies can discover unknown data and categorize structured and unstructured data across cloud service platforms. Which is to say nothing of data security’s mandate: that the data be secure.

Management 40

Management Risk Risk Management Data Processing 40

CIO Business Intelligence

JANUARY 30, 2025

In the upcoming years, augmented data management solutions will drive efficiency and accuracy across multiple domains, from data cataloguing to anomaly detection. AI-driven platforms process vast datasets to identify patterns, automating tasks like metadata tagging, schema creation and data lineage mapping.

Management 113

Management Data-driven Data Governance Unstructured Data 113

BI-Survey

FEBRUARY 27, 2025

However, a closer look reveals that these systems are far more than simple repositories: Data catalogs are at the forefront of bringing AI into your business for at least two reasons. Second, AI governance has become a priority just recently, driven by the sudden ubiquitous surge in (Generative) AI use cases on the one hand.

Unstructured Data 52

Unstructured Data Metadata Data Quality Data Governance 52

CIO Business Intelligence

MAY 6, 2025

What works: Data lake or lake house architectures that unify structured and unstructured data Strong metadata tagging and a shared data catalog An integration platform (or data fabric layer) to unify access without creating redundancy Governance gaps Without clear governance, even clean, integrated data can turn into chaos.

Prescriptive Analytics 78

Prescriptive Analytics Predictive Analytics Descriptive Analytics ROI 78