erwin

SEPTEMBER 3, 2020

Why should you integrate data governance (DG) and enterprise architecture (EA)? Two of the biggest challenges in creating a successful enterprise architecture initiative are: collecting accurate information on application ecosystems and maintaining the information as application ecosystems change. It’s time to think about EA beyond IT.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

BI-Survey

FEBRUARY 6, 2020

Modernizing and optimizing enterprise reporting – or classical BI – has not been such a priority for many of today’s organizations, even though it constitutes the backbone of information supply for decision support. Technological innovations and their increasing proliferation are shaping enterprise reporting and BI.

Reporting 59

Reporting Optimization Enterprise Data Quality 59

AWS Big Data

NOVEMBER 16, 2023

This post discusses best practices for designing enterprise-grade Data Vaults of varying scale using Amazon Redshift; the second post in this two-part series discusses the most pressing needs when designing an enterprise-grade Data Vault and how those needs are addressed by Amazon Redshift.

Enterprise 87

Enterprise Data Warehouse Data Lake Optimization 87

Ontotext

FEBRUARY 1, 2024

Knowledge graphs The final step in model complexity covered in my talk is the advent of enterprise knowledge graphs, and, more specifically, what Synaptica calls content-aware knowledge graphs. Extreme scale Many, if not most, enterprise taxonomies have under 10,000 concepts. What do we mean by content aware knowledge graphs?

Enterprise 59

Enterprise Management Metadata Modeling 59

CIO Business Intelligence

AUGUST 15, 2023

But CIOs are cautiously evaluating how to safely deploy generative AI in the enterprise, and what guard-rails to put around it. To help IT leaders keep tabs on their exposure to generative AI, CIO.com offers this round-up of the latest generative AI announcements from some of the major enterprise software vendors.

Software 96

Software Enterprise Sales Visualization 96

erwin

AUGUST 31, 2023

The data-driven enterprise relies on accurate, accessible, and actionable information to make strategic decisions and drive innovation. Reduced Data Redundancy : By eliminating data duplication, it optimizes storage and enhances data quality, reducing errors and discrepancies. Q: Is data modeling cool again?

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

Cloudera

DECEMBER 21, 2023

Some are returning errors that are difficult to find—and if you’re missing KPIs you have to fix, optimize, and measure every bit of code, which can take a considerable amount of time and trial and error. Optimizing any query Sometimes we are looking at a query that just seems overly complex. What a nightmare!

Optimization 67

Optimization Sales Data Warehouse Measurement 67

Cloudera

APRIL 18, 2024

Artificial intelligence (AI) is something that, by its very nature, can be surrounded by a sea of skepticism but also excitement and optimism when it comes to harnessing its power. Preparing For an AI-powered Future There’s plenty of optimism and interest surrounding GenAI and AI more broadly.

Analytics 108

Analytics Metadata Data Strategy Optimization 108

AWS Big Data

NOVEMBER 16, 2023

This post discusses the most pressing needs when designing an enterprise-grade Data Vault and how those needs are addressed by Amazon Redshift in particular and AWS cloud in general. The first post in this two-part series discusses best practices for designing enterprise-grade data vaults of varying scale using Amazon Redshift.

Enterprise 86

Enterprise Data Warehouse Snapshot Cost-Benefit 86

Ontotext

JULY 29, 2021

And what are the commercial implications of semantic technologies for enterprise data? KGs bring the Semantic Web paradigm to the enterprises, by introducing semantic metadata to drive data management and content management to new levels of efficiency and breaking silos to let them synergize with various forms of knowledge management.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

erwin

OCTOBER 3, 2019

Enterprise architecture (EA) benefits modern organizations in many ways. Once considered solely a function of IT, enterprise architecture has historically operated from an ivory tower. In the past, enterprise architecture has played a foundational, support role – largely focused with “keeping the lights on.”.

Enterprise 111

Enterprise Cost-Benefit Data-driven Risk 111

AWS Big Data

NOVEMBER 3, 2023

Although we don’t cover optimizing your jobs for costs in this post, you can refer to Monitor and optimize cost on AWS Glue for Apache Spark to learn how to fine-tune your AWS Glue jobs for performance, efficiency ,and cost-optimization. Let’s dive in! If the tables don’t exist, Athena creates them.

Metrics 89

Metrics Dashboards Metadata Visualization 89

AWS Big Data

APRIL 16, 2024

Running Apache Airflow at scale puts proportionally greater load on the Airflow metadata database, sometimes leading to CPU and memory issues on the underlying Amazon Relational Database Service (Amazon RDS) cluster. A resource-starved metadata database may lead to dropped connections from your workers, failing tasks prematurely.

Metadata 98

Metadata Metrics Testing Management 98

Ontotext

JANUARY 29, 2024

These will include developing a better understanding of AI, recognizing the role semantic metadata plays in data fabrics, and the rapid acceleration and adoption of knowledge graphs — which will be driven by large language models (LLMs) and the convergence of labeled property graphs (LPGs) and resource description frameworks (RDFs).

Strategy 52

Strategy Management Metadata Data-driven 52

erwin

JANUARY 9, 2020

Enterprises are trying to manage data chaos. Then there’s unstructured data with no contextual framework to govern data flows across the enterprise not to mention time-consuming manual data preparation and limited views of data lineage. They might have 300 applications, with 50 different databases and a different schema for each one.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

Octopai

AUGUST 8, 2023

Battle Creek, Michigan — July 18, 2023 — Octopai, a global leader in data lineage and business intelligence automation, and Demand Chain AI, a pioneer in AI-driven demand forecasting and supply chain optimization, have today announced a strategic partnership.

Digital Transformation 52

Digital Transformation Metadata Forecasting Data-driven 52

IBM Big Data Hub

JANUARY 17, 2023

Regardless of size, industry or geographical location, the sprawl of data across disparate environments, increase in velocity of data and the explosion of data volumes has resulted in complex data infrastructures for most enterprises. The automated metadata generation is essential to turn a manual process into one that is better controlled.

Data-driven 56

Data-driven Enterprise Data Governance Prescriptive Analytics 56

IBM Big Data Hub

OCTOBER 4, 2023

Artificial intelligence (AI) is now at the forefront of how enterprises work with data to help reinvent operations, improve customer experiences, and maintain a competitive advantage. Also, a lakehouse can introduce definitional metadata to ensure clarity and consistency, which enables more trustworthy, governed data.

Data Lake 80

Data Lake Metadata Cost-Benefit Data Warehouse 80

Ontotext

JUNE 27, 2019

Ontotext’s GraphDB is an enterprise-ready semantic graph database (also called RDF triplestore as it stores data in RDF triples). It provides the core infrastructure for solutions where modeling agility, data integration, relationship exploration, cross-enterprise data publishing and consumption are critical. Optimizing for speed.

Metadata 40

Metadata Management Enterprise Optimization 40

Ontotext

APRIL 19, 2024

You can switch out or add to the assisted tagging capabilities you can work with based on the benchmarking, so you’re able to optimize the result. 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. In essence, the enterprise has buried it.

Metadata 52

Metadata Statistics Interactive Enterprise 52

CIO Business Intelligence

MARCH 24, 2023

While data management has become a common term for the discipline, it is sometimes referred to as data resource management or enterprise information management (EIM). Several of the overall benefits of data management can only be realized after the enterprise has established systematic data governance.

Data Governance 142

Data Governance Management Metadata Data Quality 142

CIO Business Intelligence

OCTOBER 13, 2023

The data architect is responsible for visualizing and designing an organization’s enterprise data management framework. Data architects and data engineers work together to visualize and build the enterprise data management framework. Data architect vs. data engineer The data architect and data engineer roles are closely related.

Data Architecture 127

Data Architecture Data Warehouse Statistics Visualization 127

erwin

DECEMBER 17, 2020

Microsoft has delivered a critical building block for the data-driven enterprise by capturing proven business data constructs and semantic descriptors for data across a wide range of business domains in the CDM and providing the contents in an open-source format for consumption and integration. The CDM takes this concept to the next level.

Modeling 90

Modeling Metadata Data-driven Data Lake 90

Ontotext

MARCH 8, 2023

Here, I will draw upon our own experience from client projects and lessons learned to provide a selection of optimal use cases for knowledge graphs and semantic solutions along with real world examples of their applications. million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

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

Cloudera

FEBRUARY 22, 2022

By optimizing the various CDP Data Services, including CDW, CDE, and Cloudera Machine Learning (CML) with Iceberg, Cloudera customers can define and manipulate datasets with SQL commands, build complex data pipelines using features like Time Travel operations, and deploy machine learning models built from Iceberg tables.

Snapshot 107

Snapshot Metadata Cost-Benefit Data Architecture 107

Ontotext

JUNE 27, 2019

Often, the data stored in an enterprise knowledge graph has two shape types. The second type is an important part of the enterprise knowledge graph but has a hierarchical structure. Optimizing for speed. Choose The Best RDF Database for Metadata Management. What are the benefits of such integration? So far so good.

Metadata 40

Metadata Management Optimization Enterprise 40

Cloudera

JUNE 7, 2023

The revised ZTMM is organized by five categories or pillars: identity, devices, networks, applications and workloads, and data, and four levels of maturity: traditional, initial, advanced, and optimal. Moving to the “optimal” stage of maturity is critical to eliminating unauthorized access by bad actors, both foreign and domestic.

Metadata 81

Metadata Data Lake Optimization Modeling 81

Ontotext

MAY 2, 2024

Data-centric approach In the data-centric approach, metadata serves as a layer of interoperability between the data sources. This approach is fueled by enterprise semantics and makes data findable, consistent, interoperable, and reusable for generating faster insights. Our Value Proposition How does TopQuadrant fit into this picture?

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

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. 4: Enterprise grade.

Metadata 90

Metadata Data Architecture Machine Learning Cost-Benefit 90

erwin

JANUARY 14, 2021

These surveys helped IDC develop a model that describes the five stages of enterprise recovery , aligning business focus with the economic situation: When the COVID-19 crisis hit, organizations focused on business continuity. As the economy slowed, they focused on cost optimization.

Digital Transformation 143

Digital Transformation Metadata Big Data Data-driven 143

AWS Big Data

JANUARY 16, 2024

Within Airflow, the metadata database is a core component storing configuration variables, roles, permissions, and DAG run histories. A healthy metadata database is therefore critical for your Airflow environment. The third component is for creating and storing backups of all configurations and metadata that is required to restore.

Strategy 102

Strategy Metadata Metrics Dashboards 102

Ontotext

DECEMBER 1, 2023

Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises. ” With new business lines, leading to new tools, a lot of diverse and siloed data inevitably enters enterprise systems. The question is not how to avoid complexity but how to embrace it and take advantage of it.”

Metadata 78

Metadata Sales Consulting Enterprise 78

AWS Big Data

APRIL 29, 2024

Based on this example and considering your enterprise requirements, it becomes feasible and flexible to manage permissions in the data warehouse effectively. He has many years of experience in AWS Cloud platform data architecture and development, primarily focusing on efficiency optimization and cost control of enterprise cloud architectures.

Management 98

Management Big Data Metadata Data Warehouse 98

Ontotext

DECEMBER 30, 2022

9 years of research, prototyping and experimentation went into developing enterprise ready Semantic Technology products. Metadata Studio – our new product for streamlining the development and operation of solutions involving text analysis. GraphDB: Faster and more versatile.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

erwin

OCTOBER 8, 2020

But transforming and migrating enterprise data to the cloud is only half the story – once there, it needs to be governed for completeness and compliance. 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

erwin

SEPTEMBER 6, 2021

However, to be truly valuable and practically used, data must meet many different daily needs and reflect the same enterprise “data truths” through a variety of different organizational lenses. The need for enterprise data visibility varies greatly according to organizational perspective. Within the business. Conclusion.

Enterprise 52

Enterprise Data Governance Dashboards Visualization 52