Rocket-Powered Data Science

JULY 6, 2021

This is accomplished through tags, annotations, and metadata (TAM). So, there must be a strategy regarding who, what, when, where, why, and how is the organization’s content to be indexed, stored, accessed, delivered, used, and documented. Smart content includes labeled (tagged, annotated) metadata (TAM).

Strategy 267

Strategy Machine Learning Metadata Knowledge Discovery 267

Alation

JULY 19, 2021

What Is Metadata? Metadata is information about data. A clothing catalog or dictionary are both examples of metadata repositories. Indeed, a popular online catalog, like Amazon, offers rich metadata around products to guide shoppers: ratings, reviews, and product details are all examples of metadata.

Metadata 105

Metadata Management Data Governance Machine Learning 105

Ontotext

JUNE 10, 2021

Not Every Graph is a Knowledge Graph: Schemas and Semantic Metadata Matter. To be able to automate these operations and maintain sufficient data quality, enterprises have started implementing the so-called data fabrics , that employ diverse metadata sourced from different systems. Metadata about Relationships Come in Handy.

Metadata 119

Metadata Cost-Benefit OLAP Modeling 119

Octopai

NOVEMBER 10, 2021

Metadata has been defined as the who, what, where, when, why, and how of data. Without the context given by metadata, data is just a bunch of numbers and letters. But going on a rampage to define, categorize, and otherwise metadata-ize your data doesn’t necessarily give you the key to the value in your data. Hold on tight!

Metadata 98

Metadata Management Interactive Strategy 98

erwin

OCTOBER 24, 2019

While there has been a lot of talk about big data over the years, the real hero in unlocking the value of enterprise data is metadata , or the data about the data. And to truly understand it , you need to be able to create and sustain an enterprise-wide view of and easy access to underlying metadata. This isn’t an easy task.

Metadata 104

Metadata Management Data-driven Data Architecture 104

AWS Big Data

JULY 29, 2024

In this blog post, we’ll discuss how the metadata layer of Apache Iceberg can be used to make data lakes more efficient. You will learn about an open-source solution that can collect important metrics from the Iceberg metadata layer. This ensures that each change is tracked and reversible, enhancing data governance and auditability.

Metadata 110

Metadata Snapshot Data Lake Metrics 110

erwin

NOVEMBER 6, 2019

And this time, you guessed it – we’re focusing on data automation and how it could impact metadata management and data governance. The post Metadata Management, Data Governance and Automation appeared first on erwin, Inc. We would appreciate your input and will release the findings in January 2020. Click here to take the brief survey.

Metadata 102

Metadata Data Governance Management Cost-Benefit 102

erwin

NOVEMBER 19, 2020

erwin has once again been positioned as a Leader in the Gartner “2020 Magic Quadrant for Metadata Management Solutions.”. The post erwin Positioned as a Leader in Gartner’s 2020 Magic Quadrant for Metadata Management Solutions for Second Year in a Row appeared first on erwin, Inc.

Metadata 98

Metadata Management Digital Transformation Data Governance 98

AWS Big Data

NOVEMBER 29, 2023

The Eightfold Talent Intelligence Platform integrates with Amazon Redshift metadata security to implement visibility of data catalog listing of names of databases, schemas, tables, views, stored procedures, and functions in Amazon Redshift. This post discusses restricting listing of data catalog metadata as per the granted permissions.

Metadata 107

Metadata Data Warehouse Analytics Data Analytics 107

AWS Big Data

OCTOBER 14, 2024

Writing SQL queries requires not just remembering the SQL syntax rules, but also knowledge of the tables metadata, which is data about table schemas, relationships among the tables, and possible column values. Although LLMs can generate syntactically correct SQL queries, they still need the table metadata for writing accurate SQL query.

Metadata 80

Metadata Data Lake Modeling Data Warehouse 80

Octopai

JANUARY 31, 2022

If you’re a mystery lover, I’m sure you’ve read that classic tale: Sherlock Holmes and the Case of the Deceptive Data, and you know how a metadata catalog was a key plot element. Many others are rich, unstructured data sources like documents and videos. Let me tell you about metadata and cataloging.”. Enter the metadata catalog.

Metadata 97

Metadata IT Unstructured Data IoT 97

erwin

FEBRUARY 12, 2021

Shockingly, a lot of organizations, even today, manage this through, either homemade tools or documents, checklists, Excel files, custom-made databases and so on and so forth. Traditionally, these are manually documented, monitored and managed. Processes produce, process and consume data –information captured in the metadata layer.

Risk 98

Risk Slice and Dice Management Enterprise 98

erwin

JUNE 26, 2020

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. The metadata provides information about the asset that makes it easier to locate, understand and evaluate.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

AWS Big Data

NOVEMBER 20, 2024

We’re excited to announce a new feature in Amazon DataZone that offers enhanced metadata governance for your subscription approval process. With this update, domain owners can define and enforce metadata requirements for data consumers when they request access to data assets. Key benefits The feature benefits multiple stakeholders.

Metadata 68

Metadata Data Governance Metrics Marketing 68

O'Reilly on Data

DECEMBER 12, 2023

RAG takes your prompt, loads documents in your company’s archive that are relevant, packages everything together, and sends the prompt to the model. They make it possible to search for relevant or similar documents.) It relies on the model for language and grammar, but derives the content from the documents included in the prompt.

Modeling 277

Modeling Software Sales Statistics 277

erwin

MARCH 12, 2020

With metadata-driven automation, many DevOps processes can be automated, adding more “horsepower” to increase their speed and accuracy. Such automation can save close to 100 percent of the time usually spent on this type of documentation. Human errors are eliminated, leading to higher quality documentation and output.

Metadata 140

Metadata Digital Transformation Data-driven Enterprise 140

Ontotext

FEBRUARY 16, 2023

In text analytics, the human benchmark is a set of documents manually annotated by human experts. It can often be seen as more practical to have a single expert go through the documents and establish what they deem “good enough” to satisfy the requirements of a specific use case. What Are The Benefits Of Using Ontotext Metadata Studio?

Metadata 59

Metadata Measurement Metrics Modeling 59

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

SEPTEMBER 19, 2024

This enables companies to directly access key metadata (tags, governance policies, and data quality indicators) from over 100 data sources in Data Cloud, it said. Additional to that, we are also allowing the metadata inside of Alation to be read into these agents.”

Data Governance 123

Data Governance Metadata Unstructured Data Structured Data 123

erwin

JANUARY 30, 2020

However, more than 50 percent say they have deployed metadata management, data analytics, and data quality solutions. erwin Named a Leader in Gartner 2019 Metadata Management Magic Quadrant. And close to 50 percent have deployed data catalogs and business glossaries. Top Five: Benefits of An Automation Framework for Data Governance.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

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

MARCH 17, 2020

Teams need to urgently respond to everything from massive changes in workforce access and management to what-if planning for a variety of grim scenarios, in addition to building and documenting new applications and providing fast, accurate access to data for smart decision-making. Building in the cloud? No problem.

Data Governance 138

Data Governance Enterprise Modeling Metadata 138

AWS Big Data

OCTOBER 25, 2023

Most companies produce and consume unstructured data such as documents, emails, web pages, engagement center phone calls, and social media. But in the case of unstructured data, metadata discovery is challenging because the raw data isn’t easily readable. Text, images, audio, and videos are common examples of unstructured data.

Unstructured Data 121

Unstructured Data Metadata Management Analytics 121

Rocket-Powered Data Science

FEBRUARY 15, 2023

Since ChatGPT is built from large language models that are trained against massive data sets (mostly business documents, internal text repositories, and similar resources) within your organization, consequently attention must be given to the stability, accessibility, and reliability of those resources.

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

erwin

SEPTEMBER 3, 2020

It documents your data assets from end to end for business understanding and clear data lineage with traceability. To better understand and align data governance and enterprise architecture, let’s look at data at rest and data in motion and why they both have to be documented. Automating Data Governance and Enterprise Architecture.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

erwin

APRIL 9, 2020

If we have not yet ingested and organized both at-rest and in-motion metadata from across our system landscape, then we may be at a disadvantage when it comes to business continuity. Documented Policies and Procedures. The Role of Data Intelligence in Disaster Planning and Business Continuity.

Metadata 132

Metadata Risk Data Governance IT 132

O'Reilly on Data

JUNE 14, 2024

And Miso had already built an early LLM-based search engine using the open-source BERT model that delved into research papers—it could take a query in natural language and find a snippet of text in a document that answered that question with surprising reliability and smoothness.

Metadata 213

Metadata Publishing Data-driven Modeling 213

CIO Business Intelligence

JANUARY 15, 2024

Overall, the agency houses more than 88,000 datasets and 715,000 documents across 128 data sources. The mission of the OSSI: a commitment to the open sharing of software, data, and knowledge (including algorithms, papers, documents, and ancillary information) as early as possible in the scientific process. “It

Informatics 131

Informatics Metadata Data mining Digital Transformation 131

erwin

OCTOBER 29, 2020

They told us their number one challenge is documenting complete data lineage (62%), followed by understanding the quality of the data source (58%). Here are some ways erwin adds value by automating the data governance journey: Metadata ingestion into the erwin Data Intelligence Suite (erwin DI) through our standard data connectors.

Data Governance 105

Data Governance Metadata Digital Transformation ROI 105

Smart Data Collective

SEPTEMBER 26, 2021

A NoSQl database can use documents for the storage and retrieval of data. The central concept is the idea of a document. Documents encompass and encode data (or information) in a standard format. A document is susceptible to change. The documents can be in PDF format. It’s a good idea to record metadata.

Metadata 104

Metadata Visualization Unstructured Data Data mining 104

CIO Business Intelligence

MARCH 24, 2023

They must be accompanied by documentation to support compliance-based and operational auditing requirements. Programs must support proactive and reactive change management activities for reference data values and the structure/use of master data and metadata. The program must introduce and support standardization of enterprise data.

Data Governance 142

Data Governance Management Metadata Data Quality 142

AWS Big Data

APRIL 17, 2024

The following diagram illustrates an indexing flow involving a metadata update in OR1 During indexing operations, individual documents are indexed into Lucene and also appended to a write-ahead log also known as a translog. In the event of an infrastructure failure, an OpenSearch domain can end up losing one or more nodes.

Optimization 118

Optimization Snapshot Metadata Cost-Benefit 118

AWS Big Data

NOVEMBER 22, 2024

Key concepts To understand the value of RFS and how it works, let’s look at a few key concepts in OpenSearch (and the same in Elasticsearch): OpenSearch index : An OpenSearch index is a logical container that stores and manages a collection of related documents. to OpenSearch 2.x),

Snapshot 73

Snapshot Metadata Recreation/Entertainment Data Processing 73

CIO Business Intelligence

DECEMBER 9, 2024

The new expanded capabilities for Q Developer include automating code reviews, unit tests, and generating documentation all of which are aimed at helping developers accelerate their tasks. On the storage front, AWS unveiled S3 Table Buckets and the S3 Metadata features.

Metadata 116

Metadata Unstructured Data Data Lake Data-driven 116

AWS Big Data

NOVEMBER 14, 2024

Under the hood, UniForm generates Iceberg metadata files (including metadata and manifest files) that are required for Iceberg clients to access the underlying data files in Delta Lake tables. Both Delta Lake and Iceberg metadata files reference the same data files. in Delta Lake public document. Appendix 1.

Metadata 102

Metadata Data Warehouse Big Data Data Lake 102

erwin

JANUARY 14, 2021

Even if you don’t have a formal data intelligence program in place, there is a good possibility your organization has intelligence about its data, because it is difficult for data to exist without some form of associated metadata. Technical metadata is what makes up database schema and table definitions.

Digital Transformation 143

Digital Transformation Metadata Big Data Data-driven 143

erwin

SEPTEMBER 10, 2020

Not Documenting End-to-End Data Lineage Is Risky Busines – Understanding your data’s origins is key to successful data governance. Data lineage helps answer questions about the origin of data in key performance indicator (KPI) reports, including: How are the report tables and columns defined in the metadata?

Data Governance 131

Data Governance Key Performance Indicator Metadata Digital Transformation 131