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 Metadata Data Warehouse Sales 74

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

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 88

Data Architecture IoT Internet of Things Recreation/Entertainment 88

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

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

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

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

TDAN

DECEMBER 17, 2019

Data is commonly referred to as the new oil, a resource so immensely powerful that its true potential is yet to be discovered. We haven’t achieved enough with data research and other statistical modeling techniques to be able to see data for what it truly is and even our methods of accruing data are rudimentary […].

Data Architecture 52

Data Architecture Statistics Modeling IT 52

TDAN

APRIL 18, 2023

For the Enterprise Data Management Council (EDMC), I recently concluded a detailed comparison and mapping of the DMM to the DCAM with the Council’s Product Manager, employing the Soladatus modeling tool with its robust model mapping features. In this column, […]

Modeling 64

Modeling Management Enterprise IT 64

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 Modeling Enterprise Management 93

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

CIO Business Intelligence

MARCH 18, 2024

SAP and Nvidia announced an expanded partnership today with an eye to deliver the accelerated computing that customers need in order to adopt large language models (LLMs) and generative AI at scale. Artificial Intelligence, Data Architecture, Data Science, Digital Transformation, Generative AI, IT Leadership, Nvidia, SAP

Digital Transformation 111

Digital Transformation Optimization Modeling Data Science 111

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

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 114

Machine Learning Data Architecture Uncertainty Data-driven 114

TDAN

SEPTEMBER 17, 2019

I am surprised to see a lot of people jumping straight into logical or even physical modeling and skipping conceptual modeling. Don’t they understand the value of conceptual modeling? Don’t they understand the difference between the various levels of modeling? Or do they have cognitive limitations?

Modeling 81

Modeling Data Architecture Data Strategy Strategy 81

TDAN

JANUARY 3, 2023

NoSQL database systems continue to gain traction, but they are still not widely understood. There is more than one type of NoSQL database and a large number of individual NoSQL DBMSs. There are more than 225 NoSQL DBMSs listed on the NoSQL Database website alone and it just is not possible to review and understand every option. […].

Modeling 84

Modeling Data Architecture IT Data Strategy 84

Cloudera

APRIL 11, 2024

By bringing together various partners, we provide comprehensive solutions that address specific use cases and modernize data architecture. Without our partners, achieving true hybridity, enabling AI capabilities, or modernizing data architecture would be challenging. Learn more about partnering with Cloudera here.

Data Architecture 87

Data Architecture Marketing Strategy Sales 87

AWS Big Data

APRIL 17, 2024

Analytics as a service (AaaS) is a business model that uses the cloud to deliver analytic capabilities on a subscription basis. This model provides organizations with a cost-effective, scalable, and flexible solution for building analytics. times better price-performance than other cloud data warehouses.

Data Warehouse 95

Data Warehouse Analytics Cost-Benefit Modeling 95

CIO Business Intelligence

JUNE 19, 2023

No industry generates as much actionable data as the finance industry, and as AI enters the mainstream, user behaviour and corporate production and service models will all need to quickly adapt. Resilient infrastructure is the key to delivering on the promise of real-time transformation of data into decisions, Mr. Cao said.

Finance 98

Finance Unstructured Data Data Processing Data Architecture 98

IBM Big Data Hub

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

Strategy 92

Strategy Data Architecture Cost-Benefit Reporting 92

CIO Business Intelligence

JUNE 15, 2023

No industry generates as much actionable data as the finance industry, and as AI enters the mainstream, user behaviour and corporate production and service models will all need to quickly adapt. Resilient infrastructure is the key to delivering on the promise of real-time transformation of data into decisions, Mr. Cao said.

Unstructured Data 94

Unstructured Data Finance Data Processing Data Architecture 94

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 143

Machine Learning Cost-Benefit Data-driven Strategy 143

CIO Business Intelligence

JANUARY 31, 2024

Everything from geothermal data centers to more efficient graphic processing units (GPUs) can help. But AI users must also get over the urge to use the biggest, baddest AI models to solve every problem if they truly want to fight climate change. Is it necessary for a model that can also write a sonnet to write code for us?”

Cost-Benefit 131

Cost-Benefit Modeling Testing IoT 131

Cloudera

OCTOBER 19, 2022

The telecommunications industry continues to develop hybrid data architectures to support data workload virtualization and cloud migration. Telco organizations are planning to move towards hybrid multi-cloud to manage data better and support their workforces in the near future. 2- AI capability drives data monetization.

Optimization 78

Optimization Data Architecture Data Governance Digital Transformation 78

CIO Business Intelligence

AUGUST 2, 2023

So Thermo Fisher Scientific CIO Ryan Snyder and his colleagues have built a data layer cake based on a cascading series of discussions that allow IT and business partners to act as one team. Martha Heller: What are the business drivers behind the data architecture ecosystem you’re building at Thermo Fisher Scientific?

Manufacturing 96

Manufacturing Data Architecture Strategy Data Strategy 96

Cloudera

MARCH 28, 2024

At a time when AI is exploding in popularity and finding its way into nearly every facet of business operations, data has arguably never been more valuable. More recently, that value has been made clear by the emergence of AI-powered technologies like generative AI (GenAI) and the use of Large Language Models (LLMs).

Data Architecture 90

Data Architecture Strategy Data Lake Data-driven 90

CIO Business Intelligence

APRIL 24, 2024

In fact, AMA collects a huge amount of structured and unstructured data from bins, collection vehicles, facilities, and user reports, and until now, this data has remained disconnected, managed by disparate systems and interfaces, through Excel spreadsheets.

Digital Transformation 104

Digital Transformation Business Intelligence Unstructured Data Data Lake 104

CIO Business Intelligence

NOVEMBER 1, 2023

SAP doesn’t want to build those tools from scratch itself: “We definitely want to leverage what’s already out there,” Sun said, noting there are already many large language models (LLMs) it can build on, adding its own prompting, fine tuning, and data embedding to get those models to business customers quickly.

Enterprise 132

Enterprise Cost-Benefit Unstructured Data Software 132

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 83

Data Science Data Analytics Prescriptive Analytics Analytics 83

IBM Big Data Hub

SEPTEMBER 6, 2023

The familiar IT adage, “garbage in, garbage out,” still applies; high-quality data is essential to yield a high-quality result. If the training data is biased or incomplete, the models may generate inaccurate content. For marketing in particular, generative AI can help with content development and audience targeting.

Marketing 120

Marketing Strategy B2B Cost-Benefit 120

IBM Big Data Hub

OCTOBER 16, 2023

Examples of AI bias in the real world show us that when discriminatory data and algorithms are baked into AI models, the models deploy biases at scale and amplify the resulting negative effects. Policy orchestration within a data fabric architecture is an excellent tool that can simplify the complex AI audit processes.

Advertising 75

Advertising Machine Learning Data Architecture Cost-Benefit 75

CIO Business Intelligence

AUGUST 7, 2023

We’ve found it helpful to think in terms of three archetypes: Takers use a chat interface or an API to quickly access a commodity service via a publicly available model. In shaper use cases, CIOs need to integrate existing gen AI models with internal data and systems to work together seamlessly and generate customized results.

Modeling 96

Modeling Sales Cost-Benefit Data Processing 96

CIO Business Intelligence

JUNE 28, 2023

Belcorp operates under a direct sales model in 14 countries. The initial stage involved establishing the data architecture, which provided the ability to handle the data more effectively and systematically. “We The team leaned on data scientists and bio scientists for expert support.

Digital Transformation 99

Digital Transformation Cost-Benefit Informatics Data mining 99

TDAN

APRIL 2, 2019

Although data modeling has been around for over 30 years, it ranks among the top areas from which database application problems arise. Today’s data modeling […]. Moreover, the severity of the problems ranges from totally incorrect functionality to freakishly miserable performance. The answer is quite unnerving.

Modeling 45

Modeling Data Architecture IT Metadata 45

Cloudera

JUNE 7, 2022

We do that on-prem with almost 1 ZB of data under management – nearly 20% of that global total. And, as Deloitte put it: “Hybrid cloud is the de facto model”. . Companies can now capitalize on the value in all their data, by delivering a hybrid data platform for modern data architectures with data anywhere.

IT 109

IT Data Architecture Unstructured Data Big Data 109

DataKitchen

MAY 10, 2021

White Paper: DataOps is Not Just DevOps for Data . White Paper: Launch Your DataOps Journey with the DataOps Maturity Model. The fourth phase involves ensuring “that your IDB processes and applications are based on a scalable, future-proof, and discoverable data architecture, such as a data fabric ,” and data mesh.

Data-driven 130

Data-driven Data Architecture Machine Learning Strategy 130

CIO Business Intelligence

AUGUST 9, 2023

In generative AI, data is the fuel, storage is the fuel tank and compute is the engine. Organizations need massive amounts of data to build and train generative AI models. In turn, these models will also generate reams of data that elevate organizational insights and productivity.

Unstructured Data 97

Unstructured Data Modeling Data Architecture Enterprise 97