erwin

JANUARY 9, 2020

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. Today’s data modeling is not your father’s data modeling software.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

Cloudera

JUNE 29, 2023

To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure. To improve the way they model and manage risk, institutions must modernize their data management and data governance practices.

Data Architecture 85

Data Architecture Risk Management Risk Management 85

TDAN

AUGUST 3, 2021

Through big data modeling, data-driven organizations can better understand and manage the complexities of big data, improve business intelligence (BI), and enable organizations to benefit from actionable insight.

Business Intelligence 143

Business Intelligence Big Data Modeling Data-driven 143

Cloudera

AUGUST 1, 2024

Companies are deploying GenAI using several architectures: exposing data to open-source models without training on it (60%), training open-source models on their data (57%), using open-source models trained on-premises or in private clouds (50%), and developing proprietary Large Language Models (LLMs) or Small Language Models (26%).

Data Architecture 82

Data Architecture Enterprise Cost-Benefit Deep Learning 82

DataKitchen

DECEMBER 13, 2021

Gartner – Top Trends and Data & Analytics for 2021: XOps. What is a Data Mesh? DataOps Data Architecture. DataOps is Not Just a DAG for Data. Data Observability and Monitoring with DataOps. DataOps is NOT Just DevOps for Data. Launch Your DataOps Journey with the DataOps Maturity Model.

Data Architecture 246

Data Architecture Data Governance Testing Modeling 246

DataKitchen

AUGUST 3, 2021

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. The communication between business units and data professionals is usually incomplete and inconsistent. DDD divides a system or model into smaller subsystems called domains.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

CIO Business Intelligence

NOVEMBER 26, 2024

The fact is, even the world’s most powerful large language models (LLMs) are only as good as the data foundations on which they are built. So, unless insurers get their data houses in order, the real gains promised by AI will not materialize.

Insurance 131

Insurance Data-driven Data Architecture Technology 131

DataKitchen

NOVEMBER 29, 2021

In 2022, data organizations will institute robust automated processes around their AI systems to make them more accountable to stakeholders. Model developers will test for AI bias as part of their pre-deployment testing. Continuous testing, monitoring and observability will prevent biased models from deploying or continuing to operate.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

Ontotext

JULY 24, 2023

I did some research because I wanted to create a basic framework on the intersection between large language models (LLM) and data management. LLM is by its very design a language model. Examples of these types of applications are content summarization, programming tasks, data extraction, and conversational assistants (chatbots).

Modeling 98

Modeling Management Structured Data Data Architecture 98

CIO Business Intelligence

NOVEMBER 26, 2024

Governments like the UAE showcase robust AI engagement, with initiatives like the Falcon 2 AI model, designed to compete with Meta and Open AI. With Gen AI interest growing, organizations are forced to examine their data architecture and maturity. In the UAE, 91% of consumers know GenAI and 34% use these technologies.

Technology 85

Technology Data Architecture Data-driven Consulting 85

CIO Business Intelligence

JUNE 24, 2022

Approximately 61% of APAC organizations have failed to build robust and successful digital business business models, primarily due to unsound practices of enterprise architecture (EA) teams, according to a report from Forrester. Digital Transformation

Modeling 105

Modeling Digital Transformation Data Architecture Data-driven 105

AWS Big Data

OCTOBER 17, 2024

We’ll cover optimizing search relevancy, handling complex queries, using machine learning models for semantic understanding and much more. Learn how generative AI models can enhance your search solutions. He is deeply passionate about Data Architecture and helps customers build analytics solutions at scale on AWS.

Analytics 106

Analytics Optimization Data-driven Data Architecture 106

CIO Business Intelligence

OCTOBER 24, 2024

The challenge is that these architectures are convoluted, requiring diverse and multiple models, sophisticated retrieval-augmented generation stacks, advanced data architectures, and niche expertise,” they said. They predicted more mature firms will seek help from AI service providers and systems integrators. “For

ROI 127

ROI Data-driven Enterprise Experimentation 127

Cloudera

SEPTEMBER 29, 2022

Each of these trends claim to be complete models for their data architectures to solve the “everything everywhere all at once” problem. Data teams are confused as to whether they should get on the bandwagon of just one of these trends or pick a combination. Hybrid data architectures defined.

Data Architecture 74

Data Architecture Data Warehouse Metadata Sales 74

DataKitchen

SEPTEMBER 17, 2021

A data mesh implemented on a DataOps process hub, like the DataKitchen Platform, can avoid the bottlenecks characteristic of large, monolithic enterprise data architectures. Agile analytics will help your data teams realize the full benefits of an application and data architecture divided into domains.

Testing 237

Testing Data Architecture Measurement Visualization 237

AWS Big Data

APRIL 12, 2024

Integration with over 20 AWS services – Seamless integration is available for many AWS services, such as Kinesis Data Streams, Amazon MSK, Amazon VPC Flow Logs, AWS WAF logs, Amazon CloudWatch Logs, Amazon EventBridge, AWS IoT Core, and more. Pay-as-you-go model – You only pay for the data volume that Amazon Data Firehose processes.

Data Architecture 109

Data Architecture IoT Internet of Things Recreation/Entertainment 109

Cloudera

JUNE 27, 2023

The way to achieve this balance is by moving to a modern data architecture (MDA) that makes it easier to manage, integrate, and govern large volumes of distributed data. When you deploy a platform that supports MDA you can consolidate other systems, like legacy data mediation and disparate data storage solutions.

Data Architecture 62

Data Architecture Predictive Modeling Data Governance Data-driven 62

CIO Business Intelligence

OCTOBER 13, 2023

Data architecture is a complex and varied field and different organizations and industries have unique needs when it comes to their data architects. Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

CIO Business Intelligence

SEPTEMBER 20, 2023

With the new strategy, instead of implementing corporate assets in countries so they’re managed locally, what we want, through the cloud model, is to develop an asset as a service that countries can use. The third pillar of our strategy is data. This change in platform also entails a data governance model and operational changes.

Modeling 98

Modeling Insurance IT Cost-Benefit 98

AWS Big Data

NOVEMBER 22, 2024

This enables you to extract insights from your data without the complexity of managing infrastructure. dbt has emerged as a leading framework, allowing data teams to transform and manage data pipelines effectively. You can review code changes directly on the platform, facilitating efficient teamwork.

Data Lake 86

Data Lake Data Warehouse Cost-Benefit Data Transformation 86

CIO Business Intelligence

FEBRUARY 20, 2024

A number of industry leaders are already experimenting with advanced AI use cases, including Denso, a leading mobility supplier that develops advanced technology and components for nearly every vehicle make and model on the road today. Denso uses AI to verify the structuring of unstructured data from across its organisation.

Data Architecture 98

Data Architecture Unstructured Data Manufacturing IT 98

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

JANUARY 15, 2025

Need for a data mesh architecture Because entities in the EUROGATE group generate vast amounts of data from various sourcesacross departments, locations, and technologiesthe traditional centralized data architecture struggles to keep up with the demands for real-time insights, agility, and scalability.

IoT 102

IoT Machine Learning Metadata Data-driven 102

AWS Big Data

DECEMBER 4, 2024

They’re taking data they’ve historically used for analytics or business reporting and putting it to work in machine learning (ML) models and AI-powered applications. Amazon SageMaker Unified Studio (Preview) solves this challenge by providing an integrated authoring experience to use all your data and tools for analytics and AI.

Data Analytics 87

Data Analytics Analytics Data Lake Data Quality 87

CIO Business Intelligence

APRIL 8, 2025

These strategies, such as investing in AI-powered cleansing tools and adopting federated governance models, not only address the current data quality challenges but also pave the way for improved decision-making, operational efficiency and customer satisfaction. When financial data is inconsistent, reporting becomes unreliable.

Data Quality 59

Data Quality Data-driven Key Performance Indicator Metadata 59

Cloudera

DECEMBER 17, 2024

The introduction of these faster, more powerful networks has triggered an explosion of data, which needs to be processed in real time to meet customer demands. Traditional data architectures struggle to handle these workloads, and without a robust, scalable hybrid data platform, the risk of falling behind is real.

Enterprise 62

Enterprise Data Architecture Data-driven Optimization 62

TDAN

NOVEMBER 1, 2022

Many software developers distrust data architecture practices such as data modeling. They associate these practices with rigid and bureaucratic processes causing significant upfront planning and delays.

Modeling 64

Modeling Data Architecture Software IT 64

TDAN

SEPTEMBER 18, 2024

However, as a business grows, the way the organization interacts with its data can change, making processes less efficient and impairing progress toward business goals. Businesses need to think critically about their data architecture to […]

Data Architecture 52

Data Architecture Interactive Internet of Things IT 52

Cloudera

JANUARY 7, 2025

As enterprises navigate complex data-driven transformations, hybrid and multi-cloud models offer unmatched flexibility and resilience. Heres a deep dive into why and how enterprises master multi-cloud deployments to enhance their data and AI initiatives. The terms hybrid and multi-cloud are often used interchangeably.

Cost-Benefit 82

Cost-Benefit Optimization Strategy Data-driven 82

AWS Big Data

NOVEMBER 27, 2024

The Zero-ETL integration between Aurora MySQL and Amazon Redshift is set up by using a CloudFormation template to replicate raw ticket sales information to a Redshift data warehouse. These insights help analysts make data-driven decisions to improve promotions and user engagement. Create dbt models in dbt Cloud.

Data Warehouse 95

Data Warehouse Analytics Testing Modeling 95

AWS Big Data

APRIL 8, 2025

In modern data architectures, Apache Iceberg has emerged as a popular table format for data lakes, offering key features including ACID transactions and concurrent write support. When combined with well-timed maintenance operations, these patterns help build resilient data pipelines that can handle concurrent writes reliably.

Snapshot 94

Snapshot Management Metadata Big Data 94

CIO Business Intelligence

OCTOBER 4, 2022

It’s yet another key piece of evidence showing that there is a tangible return on a data architecture that is cloud-based and modernized – or, as this new research puts it, “coherent.”. Data architecture coherence. That represents a 24-point bump over those organizations where real time data wasn’t a priority.

Machine Learning 118

Machine Learning Data Architecture Uncertainty Data-driven 118

Cloudera

DECEMBER 6, 2024

The AI Forecast: Data and AI in the Cloud Era , sponsored by Cloudera, aims to take an objective look at the impact of AI on business, industry, and the world at large. AI is only as successful as the data behind it. Therefore, the next 10%, which are small language models, are going to come into play.

Manufacturing 82

Manufacturing Forecasting Metadata Data Processing 82

AWS Big Data

FEBRUARY 26, 2025

This evaluation, we feel, critically examines vendors capabilities to address key service needs, including data engineering, operational data integration, modern data architecture delivery, and enabling less-technical data integration across various deployment models.

Data Integration 82

Data Integration Data Lake Data Warehouse Unstructured Data 82

CIO Business Intelligence

APRIL 12, 2023

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. How is data, process, and model drift managed for reliability?

Machine Learning 145

Machine Learning Cost-Benefit Data-driven Strategy 145

CIO Business Intelligence

NOVEMBER 25, 2022

As part of that transformation, Agusti has plans to integrate a data lake into the company’s data architecture and expects two AI proofs of concept (POCs) to be ready to move into production within the quarter. Like many CIOs, Carhartt’s top digital leader is aware that data is the key to making advanced technologies work.

Data Lake 128

Data Lake Data Warehouse Unstructured Data Data Architecture 128

Cloudera

OCTOBER 23, 2024

In August, we wrote about how in a future where distributed data architectures are inevitable, unifying and managing operational and business metadata is critical to successfully maximizing the value of data, analytics, and AI.

Metadata 84

Metadata Data Lake Dashboards Interactive 84