erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. 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.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

AWS Big Data

APRIL 3, 2024

They understand that a one-size-fits-all approach no longer works, and recognize the value in adopting scalable, flexible tools and open data formats to support interoperability in a modern data architecture to accelerate the delivery of new solutions.

Data Lake 99

Data Lake Snapshot Metadata Data Architecture 99

Ontotext

JANUARY 10, 2024

And each of these gains requires data integration across business lines and divisions. Limiting growth by (data integration) complexity Most operational IT systems in an enterprise have been developed to serve a single business function and they use the simplest possible model for this. We call this the Bad Data Tax.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

Ontotext

NOVEMBER 11, 2024

Knowledge graphs, while not as well-known as other data management offerings, are a proven dynamic and scalable solution for addressing enterprise data management requirements across several verticals. This often leaves business insights and opportunities lost among a tangled complexity of meaningless, siloed data and content.

Metadata 52

Metadata Knowledge Discovery Data Integration Management 52

AWS Big Data

OCTOBER 3, 2023

Over the years, data lakes on Amazon Simple Storage Service (Amazon S3) have become the default repository for enterprise data and are a common choice for a large set of users who query data for a variety of analytics and machine leaning use cases. Analytics use cases on data lakes are always evolving.

Data Lake 109

Data Lake Metadata Snapshot Recreation/Entertainment 109

Ontotext

APRIL 10, 2024

In most enterprises data teams lack a data map and data asset inventory and are often unaware of data that exists across the organization, its associated profile, quality and associated metadata. Teams can’t access data to build their business use cases. For example, a product data tag is basic metadata.

Metadata 52

Metadata Data Lake Data Warehouse Data Quality 52

CIO Business Intelligence

MARCH 24, 2023

The program must introduce and support standardization of enterprise data. Programs must support proactive and reactive change management activities for reference data values and the structure/use of master data and metadata.

Data Governance 142

Data Governance Management Metadata Data Quality 142

IBM Big Data Hub

APRIL 27, 2022

Data fabric and data mesh are emerging data management concepts that are meant to address the organizational change and complexities of understanding, governing and working with enterprise data in a hybrid multicloud ecosystem. The good news is that both data architecture concepts are complimentary.

Management 79

Management Metadata Data Architecture Data Lake 79

AWS Big Data

JUNE 10, 2024

When evolving such a partition definition, the data in the table prior to the change is unaffected, as is its metadata. Only data that is written to the table after the evolution is partitioned with the new definition, and the metadata for this new set of data is kept separately. SparkActions.get().expireSnapshots(iceTable).expireOlderThan(TimeUnit.DAYS.toMillis(7)).execute()

Data Lake 116

Data Lake Metadata Snapshot Analytics 116

erwin

JANUARY 9, 2020

That’s because it’s the best way to visualize metadata , and metadata is now the heart of enterprise data management and data governance/ intelligence efforts. So here’s why data modeling is so critical to data governance. erwin Data Modeler: Where the Magic Happens.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

AWS Big Data

SEPTEMBER 7, 2023

This blog post presents an architecture solution that allows customers to extract key insights from Amazon S3 access logs at scale. We will partition and format the server access logs with Amazon Web Services (AWS) Glue , a serverless data integration service, to generate a catalog for access logs and create dashboards for insights.

Metadata 106

Metadata Dashboards Metrics Visualization 106

Data Virtualization

DECEMBER 21, 2023

Reading Time: 2 minutes Data mesh is a modern, distributed data architecture in which different domain based data products are owned by different groups within an organization. And data fabric is a self-service data layer that is supported in an orchestrated fashion to serve.

Data Governance 59

Data Governance Data Architecture Data Integration Management 59

Jen Stirrup

MARCH 29, 2023

However, to turn data into a business problem, organizations need support to move away from technical issues to start getting value as quickly as possible. SAP Datasphere simplifies data integration, cataloging, semantic modeling, warehousing, federation, and virtualization through a unified interface. Why is this interesting?

Data Warehouse 121

Data Warehouse Metadata Data Integration Business Intelligence 121

AWS Big Data

DECEMBER 2, 2024

More companies have realized there is an opportunity to integrate, enhance, and present this SaaS data to improve internal operations and gain valuable insights on their data. From there, they can perform meaningful analytics, gain valuable insights, and optionally push enriched data back to external SaaS platforms.

Data Lake 65

Data Lake Testing Data Integration Metadata 65

IBM Big Data Hub

SEPTEMBER 12, 2022

The journey starts with having a multimodal data governance framework that is underpinned by a robust data architecture like data fabric. To understand how a data fabric helps maintain compliance to privacy regulations, it’s helpful to look at some essential elements of that single pane of glass.

Metadata 91

Metadata Data Governance Enterprise Data Architecture 91

CIO Business Intelligence

MARCH 6, 2024

“SAP is executing on a roadmap that brings an important semantic layer to enterprise data, and creates the critical foundation for implementing AI-based use cases,” said analyst Robert Parker, SVP of industry, software, and services research at IDC. We are also seeing customers bringing in other data assets from other apps or data sources.

Unstructured Data 129

Unstructured Data Dashboards Business Intelligence Data Governance 129

Cloudera

MARCH 23, 2022

In fact, we recently announced the integration with our cloud ecosystem bringing the benefits of Iceberg to enterprises as they make their journey to the public cloud, and as they adopt more converged architectures like the Lakehouse. 1: Multi-function analytics . 1: Multi-function analytics . 3: Open Performance.

Metadata 89

Metadata Data Architecture Machine Learning Cost-Benefit 89

Ontotext

DECEMBER 1, 2023

So, KGF 2023 proved to be a breath of fresh air for anyone interested in topics like data mesh and data fabric , knowledge graphs, text analysis , large language model (LLM) integrations, retrieval augmented generation (RAG), chatbots, semantic data integration , and ontology building.

Metadata 78

Metadata Sales Consulting Machine Learning 78

erwin

MAY 13, 2020

The role of data modeling (DM) has expanded to support enterprise data management, including data governance and intelligence efforts. Metadata management is the key to managing and governing your data and drawing intelligence from it. Types of Data Models: Conceptual, Logical and Physical.

Data Governance 93

Data Governance Enterprise Modeling Management 93

AWS Big Data

APRIL 29, 2024

Addressing big data challenges – Big data comes with unique challenges, like managing large volumes of rapidly evolving data across multiple platforms. Effective permission management helps tackle these challenges by controlling how data is accessed and used, providing data integrity and minimizing the risk of data breaches.

Management 102

Management Big Data Data Warehouse Metadata 102

AWS Big Data

JUNE 10, 2024

Organizations have multiple Hive data warehouses across EMR clusters, where the metadata gets generated. To address this challenge, organizations can deploy a data mesh using AWS Lake Formation that connects the multiple EMR clusters. An entity can act both as a producer of data assets and as a consumer of data assets.

Data Lake 90

Data Lake Metadata Data Warehouse Data Processing 90

Ontotext

FEBRUARY 7, 2024

However, what we usually don’t talk about when generating an asset, are the huge invisible or unplanned costs occurring at a later stage when the data needs to be made available for analysis or secondary usage. As a result, a big portion of the IT capacity in Pharma is bound by data integration.

Metadata 52

Metadata Data Integration Measurement Data-driven 52

Data Virtualization

JANUARY 17, 2023

Reading Time: 2 minutes In recent years, there has been a growing interest in data architecture. One of the key considerations is how best to handle data, and this is where data mesh and data fabric come into play. But what are the key.

Data Architecture 52

Data Architecture Data Integration Management Metadata 52

Alation

JANUARY 25, 2022

As a reminder, here’s Gartner’s definition of data fabric: “A design concept that serves as an integrated layer (fabric) of data and connecting processes. In this blog, we will focus on the “integrated layer” part of this definition by examining each of the key layers of a comprehensive data fabric in more detail.

Metadata 52

Metadata IT Metrics Data-driven 52

AWS Big Data

AUGUST 31, 2023

Iceberg stores the metadata pointer for all the metadata files. When a SELECT query is reading an Iceberg table, the query engine first goes to the Iceberg catalog, then retrieves the entry of the location of the latest metadata file, as shown in the following diagram.

Data Lake 100

Data Lake Data Warehouse Metadata Data Architecture 100

Ontotext

MARCH 27, 2024

For example, GPS, social media, cell phone handoffs are modeled as graphs while data catalogs, data lineage and MDM tools leverage knowledge graphs for linking metadata with semantics. This verbosity allows schema, metadata, and instance data to be in one place, enabling accessibility and manageability.

Modeling 69

Modeling Metadata Data Quality Enterprise 69

Data Virtualization

AUGUST 23, 2024

The post Querying Minds Want to Know: Can a Data Fabric and RAG Clean up LLMs? – Part 4 : Intelligent Autonomous Agents appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information. In previous posts, I spoke.

Data Integration 98

Data Integration Modeling Management Data Architecture 98

AWS Big Data

MARCH 26, 2024

Data ingestion You have to build ingestion pipelines based on factors like types of data sources (on-premises data stores, files, SaaS applications, third-party data), and flow of data (unbounded streams or batch data). Then, you transform this data into a concise format.

Data Strategy 74

Data Strategy Strategy Data Warehouse Prescriptive Analytics 74

AWS Big Data

NOVEMBER 29, 2023

Maximize value with comprehensive analytics and ML capabilities “Amazon Redshift is one of the most important tools we had in growing Jobcase as a company.” – Ajay Joshi, Distinguished Engineer, Jobcase With all your data integrated and available, you can easily build and run near real-time analytics to AI/ML/Generative AI applications.

Data Warehouse 106

Data Warehouse Data Lake Analytics Machine Learning 106

IBM Big Data Hub

JANUARY 17, 2023

IBM Cloud Pak for Data Express solutions offer clients a simple on ramp to start realizing the business value of a modern architecture. Data governance. The data governance capability of a data fabric focuses on the collection, management and automation of an organization’s data. Data integration.

Data-driven 56

Data-driven Enterprise Data Governance Prescriptive Analytics 56

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. Metadata tables offer insights into the physical data storage layout of the tables and offer the convenience of querying them with Athena version 3.

Data Lake 87

Data Lake Analytics Snapshot Data Quality 87

Data Virtualization

JUNE 19, 2024

The post Navigating the New Data Landscape: Trends and Opportunities appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information. At TDWI, we see companies collecting traditional structured.

Data Integration 59

Data Integration Management Analytics Data Architecture 59

Data Virtualization

MAY 19, 2023

Reading Time: 11 minutes The post Data Strategies for Getting Greater Business Value from Distributed Data appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Strategy 52

Data Strategy Strategy Data Integration Management 52

Ontotext

FEBRUARY 26, 2024

Bad Data Tax and the Data Bill of Rights So far, our discussion has been pretty theoretical, so we need a compelling business justification for moving in this direction. In the race to become data-driven, most efforts have resulted in a tangled web of data integrations and reconciliations across a sea of data silos.

Technology 52

Technology Cost-Benefit Data-driven Metadata 52

Ontotext

MAY 30, 2019

The lack of structure and the presence of too many siloed (often meaning duplicate) data entries, which make data expand endlessly can be avoided if these data are properly interlinked and given explicit machine-interpretable metadata for easier and automatic search and retrieval. Linked Data and Information Retrieval.

Cost-Benefit 87

Cost-Benefit Big Data Technology Metadata 87

TDAN

AUGUST 18, 2020

Flexibility is one strong driver: heterogeneous data, integrating new data sources, and analytics all require flexibility. We are in the era of graphs. Graphs are hot. Graphs deliver it in spades. Over the last few years, a number of new graph databases came to market. As we start the next decade, dare we say […].

Data Integration 119

Data Integration Marketing Analytics Data Architecture 119

Ontotext

MAY 30, 2019

The lack of structure and the presence of too many siloed (often meaning duplicate) data entries, which make data expand endlessly can be avoided if these data are properly interlinked and given explicit machine-interpretable metadata for easier and automatic search and retrieval. Linked Data and Information Retrieval.

Cost-Benefit 75

Cost-Benefit Technology Big Data Metadata 75