Alation

OCTOBER 5, 2021

Answers will differ widely depending upon a business’ industry and strategy for growth. The first step towards a successful data governance strategy is setting appropriate goals and milestones. Yet, so many companies today are still failing miserably in implementing data strategy and governance protocols.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. From here, object metadata (such as file owner, creation date, and confidentiality level) is extracted and queried using Amazon S3 capabilities.

Data Governance 91

Data Governance Unstructured Data Metadata Data Lake 91

CIO Business Intelligence

MARCH 24, 2023

Data governance framework Data governance may best be thought of as a function that supports an organization’s overarching data management strategy. They must be accompanied by documentation to support compliance-based and operational auditing requirements.

Data Governance 142

Data Governance Management Metadata Data Quality 142

erwin

JUNE 26, 2020

If you’re serious about a data-driven strategy , you’re going to need a data catalog. Organizations with particularly deep data stores might need a data catalog with advanced capabilities, such as automated metadata harvesting to speed up the data preparation process. Three Types of Metadata in a Data Catalog.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

Ontotext

APRIL 19, 2024

We mainly talked about the company’s Metadata Studio and the types of features it has that give users the options I’ve listed above. Of course, unstructured enterprise data consists primarily of content in document form, and if it’s not discoverable or reusable, it’s useless. Ivo’s been at Ontotext for over 14 years.

Metadata 52

Metadata Statistics Interactive Enterprise 52

AWS Big Data

JANUARY 24, 2024

More data files leads to more metadata stored in manifest files, and small data files often cause an unnecessary amount of metadata, resulting in less efficient queries and higher Amazon S3 access costs. The output will give a count of the number of data and metadata files deleted.

Snapshot 96

Snapshot Data Lake Metadata Optimization 96

CIO Business Intelligence

DECEMBER 13, 2023

and applying and enriching metadata helps organizations take a big step toward innovating with generative AI. Meanwhile, storing, managing, and processing large volumes of unstructured data present problems of scale and complexity, causing enterprise decision-makers to reconsider their asset management strategies.

Unstructured Data 97

Unstructured Data IoT Metadata Modeling 97

erwin

JANUARY 30, 2020

Constructing a Digital Transformation Strategy: How Data Drives Digital. The results of our new research show that organizations are still trying to master data governance, including adjusting their strategies to address changing priorities and overcoming challenges related to data discovery, preparation, quality and traceability.

Data Governance 145

Data Governance Metadata Digital Transformation Cost-Benefit 145

erwin

OCTOBER 8, 2020

But even with the “need for speed” to market, new applications must be modeled and documented for compliance, transparency and stakeholder literacy. With all these diverse metadata sources, it is difficult to understand the complicated web they form much less get a simple visual flow of data lineage and impact analysis.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

CIO Business Intelligence

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data Architecture 131

Data Architecture Data Warehouse Statistics Visualization 131

Ontotext

MAY 2, 2024

Evolution of data approaches The data strategies we’ve had so far have led to a lot of challenges and pain points. Data-centric approach In the data-centric approach, metadata serves as a layer of interoperability between the data sources. Here we talk about metadata management, catalog of catalogs, and so on.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

erwin

SEPTEMBER 17, 2020

For example, automatically importing mappings from developers’ Excel sheets, flat files, Access and ETL tools into a comprehensive mappings inventory, complete with auto generated and meaningful documentation of the mappings, is a powerful way to support overall data governance. Data quality is crucial to every organization.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

erwin

JANUARY 17, 2020

Data models provide visualization, create additional metadata and standardize data design across the enterprise. With the right approach, data modeling promotes greater cohesion and success in organizations’ data strategies. NoSQL supports JavaScript Object Notation (JSON), log messages, XML and unstructured documents.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

erwin

JANUARY 14, 2021

These roles range from technical to business, from operations to strategy, and from the back office to the front office. Technical metadata is what makes up database schema and table definitions. However, just having metadata isn’t the same as managing and leveraging it as intelligence.

Digital Transformation 143

Digital Transformation Metadata Big Data Data-driven 143

AWS Big Data

JANUARY 9, 2024

Now users seek methods that allow them to get even more relevant results through semantic understanding or even search through image visual similarities instead of textual search of metadata. Lexical search In lexical search, the search engine compares the words in the search query to the words in the documents, matching word for word.

Cost-Benefit 88

Cost-Benefit Visualization Modeling Machine Learning 88

erwin

JULY 12, 2019

So it’s important to understand how to use strategic data governance to manage the complexity of regulatory compliance and other business objectives … Designing and Operationalizing Regulatory Compliance Strategy. First you need to analyze and design your compliance strategy and tactics, and then you need to operationalize them.

Data Governance 110

Data Governance Management Metadata Risk Management 110

Alation

APRIL 18, 2023

This is accomplished by analyzing one or multiple data sources and collecting metadata that shows the condition of the data and enables the data steward to investigate the origin of data errors. In summary, data profiling is a critical component of a comprehensive data governance strategy.

IT 52

IT Data Quality Metadata Data Governance 52

CIO Business Intelligence

DECEMBER 4, 2023

With constant advances in intelligent document processing, compute power, DevOps workflows, and AI, the content, context, and value of unstructured data is rapidly increasing. Beyond “records,” organizations can digitally capture anything and apply metadata for context and searchability. Iron Mountain Capture/Enrich.

Unstructured Data 52

Unstructured Data Data Lake Business Objectives Metadata 52

TDAN

MAY 31, 2022

One very influential factor that can potentially undermine your data and document strategies is the natural and emotional reactions of people when things change. It is common to take great care in the selection and implementation of new technology.

Testing 52

Testing Interactive Strategy Software 52

Ontotext

FEBRUARY 1, 2024

When our auto-categorization engine, Graphite Knowledge Studio, tags content with metadata derived from taxonomies, we also capture and store this content metadata inside the knowledge graph, thereby linking concepts to the content they describe. What do we mean by content aware knowledge graphs?

Enterprise 59

Enterprise Management Metadata Modeling 59

datapine

SEPTEMBER 29, 2022

There are a lot of strategies that you can use to improve the quality of your information. With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. These processes could include reports, campaigns, or financial documentation.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Cloudera

JULY 14, 2023

Depending on the size and usage patterns of the data, several different strategies could be pursued to achieve a successful migration. In this blog, I will describe a few strategies one could undertake for various use cases. Query engines (Impala, Hive, Spark) might mitigate some of these problems by using Iceberg’s metadata files.

Snapshot 69

Snapshot Metadata Data Warehouse Testing 69

erwin

NOVEMBER 28, 2019

The International Enterprise Architecture Institute (IEAI) defines enterprise architecture (EA) as “the analysis and documentation of an enterprise in its current and future states from an integrated strategy, business and technology perspective.”. Related content: 2019 Gartner Magic Quadrant for Metadata Management Solutions.

Enterprise 145

Enterprise Data-driven Data Governance Digital Transformation 145

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

Octopai

MARCH 24, 2020

Let’s start with automated tools that foster the seamless interaction of multiple metadata best practices, such as data discovery, data lineage and the use of a business glossary. Here is an overview of how automated metadata management makes your business intelligence smarter. How Can Smarter BI Impact Your Company? Watch the webinar!

Metadata 43

Metadata Cost-Benefit Business Intelligence ROI 43

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

AWS Big Data

MARCH 7, 2024

Based on your data retention, query latency, and budgeting requirements, you can choose the best strategy to balance cost and performance. ISM policies let you automate these periodic, administrative operations by triggering them based on changes in the index age, index size, or number of documents.

Data Lake 109

Data Lake Analytics Dashboards Metrics 109

Octopai

JUNE 24, 2019

Document classification and lifecycle management will help you deal with oversight of unstructured data. This maintains a high priority in your data governance strategy. – Metadata management automation : Metadata management and locating data can be extraordinarily time-consuming when performed manually.

Data Governance 42

Data Governance Metadata Unstructured Data Software 42

DataRobot Blog

SEPTEMBER 1, 2022

This feature will compute some DataRobot monitoring calculations outside of DataRobot and send the summary metadata to MLOps. This strategy allows handling billions of rows per day. Learn more about DataRobot MLOps and access public documentation to get more technical details about recently released features. Request a Demo.

Metrics 145

Metrics Statistics Modeling Data Science 145

IBM Big Data Hub

SEPTEMBER 20, 2022

Often data scientists aren’t thrilled with the prospect of generating all the documentation necessary to meet ethical and regulatory standards. This is where technology such as IBM FactSheets , can help by reducing the manual labor needed to capture metadata and other facts about a model across stages of the AI lifecycle.

Metadata 57

Metadata Machine Learning Data-driven Modeling 57

IBM Big Data Hub

APRIL 13, 2023

Here are some of the key tables: FLIGHT_DECTREE_MODEL: this table contains metadata about the model. Examples of metadata include depth of the tree, strategy for handling missing values, and the number of leaf nodes in the tree. Explore Db2 ML Product Documentation Explore Db2 ML samples in GitHub References Paleyes, A.,

Modeling 91

Modeling Statistics Machine Learning Testing 91

CIO Business Intelligence

APRIL 27, 2022

Rajgopal adds that all customer data, metadata, and escalation data are kept on Indian soil at all times in an ironclad environment. Nimble Information Strategies is a customer of VMware Sovereign Cloud partner ThinkOn.

Digital Transformation 110

Digital Transformation Metadata Risk Management 110

AWS Big Data

APRIL 19, 2023

Even with well-documented data products, knowing how to connect or join data products is a time-consuming job. Utilizing strategies like data mesh generates value on a large scale. In this post, we showed how an organization can augment a data catalog with additional metadata by using ML and Neptune with an automated process.

Technology 78

Technology Data-driven Machine Learning Sales 78

erwin

NOVEMBER 13, 2020

For example, a COVID response plan will use EA to document if employees work from home, what their roles are, the projects on which they’re working, and what their schedules are. EA provides a way to drive change through every phase of recovery by providing an understanding of technology assets with business needs.

Enterprise 131

Enterprise Digital Transformation Key Performance Indicator Data-driven 131

Alation

JUNE 28, 2022

This is where metadata, or the data about data, comes into play. Having a data catalog is the cornerstone of your data governance strategy, but what supports your data catalog? Your metadata management framework provides the underlying structure that makes your data accessible and manageable. Your metadata gives users context.

Metadata 52

Metadata Management Data Governance Machine Learning 52

Insight

MARCH 12, 2020

Data Collection The AIgent leverages book synopses and book metadata. To my knowledge, the most extensive repository of synopses and metadata is Goodreads. To collect these genre tags and other metadata, I took advantage of the well-documented Goodreads API. features) and metadata (i.e. In other words, if 0.1%

Modeling 59

Modeling Metadata Publishing Sales 59

Alation

JUNE 2, 2022

These include tracking, documenting, monitoring, versioning, and controlling access to AI/ML models. Data catalogs energize metadata for the entire process of data integration, data preparation, data quality, and many other data management activities, including recommendations. However, governance processes are equally important.

Modeling 52

Modeling Data Governance Statistics Unstructured Data 52