Smart Data Collective

JANUARY 26, 2021

Big data technology has been instrumental in helping organizations translate between different languages. We covered the benefits of using machine learning and other big data tools in translations in the past. How Does Big Data Architecture Fit with a Translation Company? If it happens, technology can monitor it.

Data Architecture 141

Data Architecture Big Data Data Strategy Data-driven 141

Data Virtualization

MAY 6, 2021

It is well known organizations are storing data in volumes that continue to grow. However, most of this data is not new or original, much of it is copied data. For example, data about a. The post Data Minimization as Design Guideline for New Data Architectures appeared first on Data Virtualization blog.

Data Architecture 119

Data Architecture IT Data Warehouse Data Lake 119

Cloudera

JULY 11, 2022

What used to be bespoke and complex enterprise data integration has evolved into a modern data architecture that orchestrates all the disparate data sources intelligently and securely, even in a self-service manner: a data fabric. Cloudera data fabric and analyst acclaim. Next steps.

Data Architecture 107

Data Architecture Data-driven Data Warehouse Cost-Benefit 107

Analytics Vidhya

SEPTEMBER 20, 2022

Introduction Enterprises have been building data platforms for the last few decades, and data architectures have been evolving. Let’s first look at how things have changed and how […].

Data Architecture 289

Data Architecture Enterprise Technology Analytics 289

Cloudera

MAY 28, 2024

It’s not enough for businesses to implement and maintain a data architecture. The unpredictability of market shifts and the evolving use of new technologies means businesses need more data they can trust than ever to stay agile and make the right decisions.

Data Architecture 88

Data Architecture Data Lake Data Warehouse Cost-Benefit 88

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 94

Data Architecture Strategy Data Lake Data-driven 94

O'Reilly on Data

JUNE 6, 2019

Their new startup is focused on a few trends I’ve recently been thinking about, including the re-emergence of real-time analytics, and the hunger for simpler data architectures and tools. Continue reading Bringing scalable real-time analytics to the enterprise.

Enterprise 264

Enterprise Analytics Data Architecture Interactive 264

Cloudera

SEPTEMBER 6, 2022

Data has continued to grow both in scale and in importance through this period, and today telecommunications companies are increasingly seeing data architecture as an independent organizational challenge, not merely an item on an IT checklist. Why telco should consider modern data architecture. The challenges.

Data Architecture 84

Data Architecture Cost-Benefit Digital Transformation Business Driver 84

Cloudera

JUNE 29, 2023

Technology alone would not have prevented the banking crisis, but the fact remains that financial institutions still aren’t leveraging technology as creatively, intelligently, and cost-effectively as they should be. Apply emerging technology to intraday liquidity management.

Data Architecture 85

Data Architecture Risk Management Risk Management 85

CIO Business Intelligence

NOVEMBER 26, 2024

Segmented business functions and different tools used for specific workflows often do not communicate with one another, creating data silos within a business. And the industry itself, which has grown through years of mergers, acquisitions, and technology transformation, has developed a piecemeal approach to technology.

Insurance 131

Insurance Data-driven Data Architecture Technology 131

Analytics Vidhya

JULY 20, 2022

This article was published as a part of the Data Science Blogathon. We don’t have a native value settlement layer, nor do we have control over our data. Our data architectures are still founded on the idea of stand-alone computers, where data is centrally stored and maintained on a […].

Finance 291

Finance Data Architecture Data Science Publishing 291

Cloudera

AUGUST 1, 2024

Enterprise IT leaders across industries are tasked with preparing their organizations for the technologies of the future – which is no simple task. Challenges in Implementing AI Implementing AI does not come without challenges for many organizations, primarily due to outdated or inadequate data infrastructures. EMEA and APAC regions.

Data Architecture 82

Data Architecture Enterprise Cost-Benefit Deep Learning 82

CIO Business Intelligence

OCTOBER 24, 2024

Noting that companies pursued bold experiments in 2024 driven by generative AI and other emerging technologies, the research and advisory firm predicts a pivot to realizing value. Forrester said most technology executives expect their IT budgets to increase in 2025. Others won’t — and will come up against the limits of quick fixes.”

ROI 127

ROI Data-driven Enterprise Experimentation 127

Corinium

MARCH 8, 2021

Organizations aiming to become data-driven need to overcome several challenges, like that of dealing with distributed data or hybrid operating environments. What are the key trends in companies striving to become data-driven. Get the report today!

Data-driven 195

Data-driven Enterprise Data Architecture Data Governance 195

TDAN

FEBRUARY 16, 2021

While we have seen a change in the calendar year, one initiative that continues to be a top priority for businesses is storing, managing, accessing and optimizing corporate data. With the new year events well behind us, we’re steadily focused on moving forward in 2021. Given that, let’s consider what I believe will be some […].

Technology 145

Technology Optimization Management Data Architecture 145

CIO Business Intelligence

JULY 9, 2024

In the UAE, 91% of consumers know GenAI and 34% use these technologies. With Gen AI interest growing, organizations are forced to examine their data architecture and maturity. In markets such as India, Brazil, and the United Arab Emirates, AI usage exceeds the levels in so-called mature markets.

Technology 111

Technology Data Architecture Data-driven Consulting 111

AWS Big Data

SEPTEMBER 11, 2024

This post describes how HPE Aruba automated their Supply Chain management pipeline, and re-architected and deployed their data solution by adopting a modern data architecture on AWS. The new solution has helped Aruba integrate data from multiple sources, along with optimizing their cost, performance, and scalability.

Data Architecture 110

Data Architecture Optimization Data Warehouse Metadata 110

CIO Business Intelligence

DECEMBER 11, 2024

This approach is repeatable, minimizes dependence on manual controls, harnesses technology and AI for data management and integrates seamlessly into the digital product development process. Similarly, there is a case for Snowflake, Cloudera or other platforms, depending on the companys overarching technology strategy.

Management 111

Management Data Governance Data Science Reporting 111

CIO Business Intelligence

DECEMBER 3, 2024

Generally speaking, a healthy application and data architecture is at the heart of successful modernisation. This requires understanding the current state of an organisation’s applications and data by conducting a thorough baseline analysis. Take IBM Watson Code Assistant for Z, for example.

Cost-Benefit 122

Cost-Benefit Consulting Business Objectives Data Architecture 122

CIO Business Intelligence

APRIL 8, 2025

Data is the foundation of innovation, agility and competitive advantage in todays digital economy. As technology and business leaders, your strategic initiatives, from AI-powered decision-making to predictive insights and personalized experiences, are all fueled by data. Data quality is no longer a back-office concern.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

DataKitchen

NOVEMBER 29, 2021

DataOps adoption continues to expand as a perfect storm of social, economic, and technological factors drive enterprises to invest in process-driven innovation. As a result, enterprises will examine their end-to-end data operations and analytics creation workflows. Data Gets Meshier.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

DataKitchen

SEPTEMBER 17, 2021

It would be incredibly inefficient to build a data mesh without automation. DataOps focuses on automating data analytics workflows to enable rapid innovation with low error rates. It also engenders collaboration across complex sets of people, technology, and environments. Conclusion.

Testing 237

Testing Data Architecture Measurement Visualization 237

Cloudera

JULY 29, 2022

Most importantly, it helps organizations control costs and reduce risks, enforcing consistent security and governance across all enterprise data assets.”. This does not mean ‘one of each’ – a public cloud data strategy and an on-prem data strategy. The proof is in the pudding.

Data Architecture 89

Data Architecture Data Strategy Risk Management Strategy 89

AWS Big Data

APRIL 12, 2024

He has helped technology companies design and implement data analytics solutions and products. Partner Solutions Architect at AWS and has over 20 years of experience working with database and analytics products from enterprise database vendors and cloud providers.

Data Architecture 118

Data Architecture IoT Internet of Things Recreation/Entertainment 118

CIO Business Intelligence

FEBRUARY 20, 2024

Manufacturers have long held a data-driven vision for the future of their industry. It’s one where near real-time data flows seamlessly between IT and operational technology (OT) systems. Denso uses AI to verify the structuring of unstructured data from across its organisation.

Data Architecture 98

Data Architecture Unstructured Data Manufacturing IT 98

Data Virtualization

APRIL 30, 2025

Reading Time: 3 minutes Data is often hailed as the most valuable assetbut for many organizations, its still locked behind technical barriers and organizational bottlenecks. Modern data architectures like data lakehouses and cloud-native ecosystems were supposed to solve this, promising centralized access and scalability.

Data Architecture 64

Data Architecture Data Integration Management IT 64

AWS Big Data

APRIL 19, 2023

Independent data products often only have value if you can connect them, join them, and correlate them to create a higher order data product that creates additional insights. A modern data architecture is critical in order to become a data-driven organization.

Technology 105

Technology Data-driven Machine Learning Sales 105

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

Cloudera

SEPTEMBER 26, 2023

Learn more about how you can benefit from a well-supported data management platform and ecosystem of products, services and support by visiting the IBM and Cloudera partnership page. The post IBM Technology Chooses Cloudera as its Preferred Partner for Addressing Real Time Data Movement Using Kafka appeared first on Cloudera Blog.

Technology 95

Technology IT Data-driven Data Architecture 95

AWS Big Data

JANUARY 15, 2025

With the addition of these technologies alongside existing systems like terminal operating systems (TOS) and SAP, the number of data producers has grown substantially. However, much of this data remains siloed and making it accessible for different purposes and other departments remains complex. She can reached via LinkedIn.

IoT 110

IoT Machine Learning Metadata Data-driven 110

erwin

JUNE 19, 2020

Despite the similarities in name, there are a number of key differences between an enterprise architecture and solutions architecture. Much like the differences between enterprise architecture (EA) and data architecture, EA’s holistic view of the enterprise will often see enterprise and solution architects collaborate.

Enterprise 130

Enterprise Data Architecture Strategy Data Governance 130

CIO Business Intelligence

MARCH 25, 2025

Build up: Databases that have grown in size, complexity, and usage build up the need to rearchitect the model and architecture to support that growth over time. Gen AI is a powerful enabler, but sustainable success depends on architectural observability for long-term innovation.

Risk 140

Risk Cost-Benefit Data-driven Digital Transformation 140

AWS Big Data

FEBRUARY 26, 2025

The Gartner Magic Quadrant evaluates 20 data integration tool vendors based on two axesAbility to Execute and Completeness of Vision. Discover, prepare, and integrate all your data at any scale AWS Glue is a fully managed, serverless data integration service that simplifies data preparation and transformation across diverse data sources.

Data Integration 101

Data Integration Data Lake Data Warehouse Unstructured Data 101

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

erwin

JUNE 25, 2020

The most straightforward way to convey the difference between technical architecture and enterprise architecture (EA) is by looking at the scope and focus of each. They often work under more specific titles, reflecting the technology they specialize in – e.g., “Java architect” or “Python architect.”.

Enterprise 144

Enterprise Data Architecture Data-driven Cost-Benefit 144

CIO Business Intelligence

APRIL 25, 2022

Similarly, many organizations have built data architectures to remain competitive, but have instead ended up with a complex web of disparate systems which may be slowing them down. This is a reality faced by many organizations that have cobbled together an array of siloed data management technologies. Aligning data.

Data Architecture 119

Data Architecture Digital Transformation Data-driven Machine Learning 119

CIO Business Intelligence

NOVEMBER 25, 2022

Carhartt’s signature workwear is near ubiquitous, and its continuing presence on factory floors and at skate parks alike is fueled in part thanks to an ongoing digital transformation that is advancing the 133-year-old Midwest company’s operations to make the most of advanced digital technologies, including the cloud, data analytics, and AI.

Data Lake 128

Data Lake Data Warehouse Unstructured Data Data Architecture 128