O'Reilly on Data

JUNE 6, 2019

Borthakur was the founding engineer of HDFS and creator of RocksDB , while Bhat is an experienced product and marketing executive focused on enterprise software and data products. Continue reading Bringing scalable real-time analytics to the enterprise.

Enterprise 187

Enterprise Analytics Data Architecture Interactive 187

CIO Business Intelligence

NOVEMBER 1, 2023

The news came at SAP TechEd, its annual conference for developers and enterprise architects, this year held in Bangalore, the unofficial capital of India’s software development industry. There’s a common theme to many of SAP’s announcements: enabling enterprise access to business-friendly generative AI technologies. “We

Enterprise 132

Enterprise Cost-Benefit Unstructured Data Software 132

CIO Business Intelligence

FEBRUARY 20, 2024

Brendan Mislin, General Manager, Industry X at Avanade, comments: “Manufacturers looking to use Microsoft Copilot and other generative AI tools first need to enable data use from across operational and enterprise applications and break down legacy OT and IT siloes.

Data Architecture 98

Data Architecture Unstructured Data Manufacturing IT 98

Cloudera

AUGUST 9, 2022

With all of the buzz around cloud computing, many companies have overlooked the importance of hybrid data. Many large enterprises went all-in on cloud without considering the costs and potential risks associated with a cloud-only approach. The truth is, the future of data architecture is all about hybrid.

Data Architecture 93

Data Architecture Data Strategy Strategy Data-driven 93

erwin

JULY 9, 2020

Enterprise architecture plays a key role in the modern enterprise, so the average enterprise architect salary reflects the demand. In this post: Average Salary for an Enterprise Architect. What Does an Enterprise Architect Do? Enterprise Architect Salary Expectations.

Enterprise 145

Enterprise Data Architecture Data-driven Digital Transformation 145

IBM Big Data Hub

MAY 8, 2024

At IBM Cloud, we are committed to helping enterprises across industries leverage hybrid cloud and AI technologies to help them drive innovation. Today, our enterprise-grade platform is optimized to help clients manage mission-critical workloads while addressing resiliency, performance, security, compliance and total cost of ownership.

Enterprise 68

Enterprise Interactive Consulting Testing 68

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

AWS Big Data

APRIL 12, 2024

When he’s not hard at work on Amazon Kinesis Data Firehose, you’ll likely find Mostafa on the squash court, where he loves to take on challengers and perfect his dropshots. 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 88

Data Architecture IoT Internet of Things Recreation/Entertainment 88

CIO Business Intelligence

SEPTEMBER 21, 2023

Generative AI touches every aspect of the enterprise, and every aspect of society,” says Bret Greenstein, partner and leader of the gen AI go-to-market strategy at PricewaterhouseCoopers. Gen AI is that amplification and the world’s reaction to it is like enterprises and society reacting to the introduction of a foreign body. “We

Enterprise 130

Enterprise Consulting Modeling Cost-Benefit 130

TreehouseTechGroup

OCTOBER 27, 2020

As digital technologies are dramatically reshaping consumer behavior, markets, and enterprises, CXOs must focus on occupying leadership positions or catching up with competition. The ability to deploy cutting edge technologies fast to deliver products and services in ways that were not possible before has become a business imperative.

Digital Transformation 75

Digital Transformation Data Architecture Strategy Marketing 75

IBM Big Data Hub

MAY 21, 2019

A modern data architecture (MDA) must support the next generation cognitive enterprise which is characterized by the ability to fully exploit data using exponential technologies like pervasive artificial intelligence (AI) , automation, Internet of Things (IoT) and blockchain.

Data Architecture 77

Data Architecture Internet of Things IoT Enterprise 77

IBM Big Data Hub

DECEMBER 16, 2022

Their role has expanded from providing business intelligence to management, to ensuring high-quality data is accessible and useful across the enterprise. In other words, they must ensure that data strategy aligns to business strategy. Building the foundation: data architecture. But the dividends are unmistakable.

Enterprise 52

Enterprise Data Architecture Data-driven ROI 52

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 268

Data Architecture Enterprise Technology Analytics 268

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 94

Enterprise Data Architecture Strategy Data Governance 94

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. But first, let’s define the data mesh design pattern. The past decades of enterprise data platform architectures can be summarized in 69 words.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

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 architects are frequently part of a data science team and tasked with leading data system projects.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

Teradata

MARCH 11, 2021

Getting your Cloud data architecture right starts with understanding which data products you need, the roles they perform, & the functional & non-functional characteristics that those roles demand.

Enterprise 110

Enterprise Data Architecture 110

erwin

MAY 31, 2019

It’s time to consider data-driven enterprise architecture. The traditional approach to enterprise architecture – the analysis, design, planning and implementation of IT capabilities for the successful execution of enterprise strategy – seems to be missing something … data. That’s right.

Data-driven 104

Data-driven Enterprise Metadata Strategy 104

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

Dataiku

AUGUST 1, 2019

We’ve set out to demystify the jargon surrounding data architecture to enable every team to understand how it impacts their objectives. Not sure what Hadoop actually is? A little fuzzy on what the difference is between cloud and on-prem storage?

Data Architecture 38

Data Architecture IT Data Transformation Enterprise 38

TDAN

APRIL 17, 2024

Those of us in the field of enterprise data management are familiar with the many authors contributing their knowledge and expertise to the data management body of knowledge.[1] 1] We are also very familiar with the many, varied, and often conflicting ways in which data management terms are used.

Data Governance 52

Data Governance Data Architecture Data Integration Management 52

Cloudera

MAY 10, 2024

Iceberg, a high-performance open-source format for huge analytic tables, delivers the reliability and simplicity of SQL tables to big data while allowing for multiple engines like Spark, Flink, Trino, Presto, Hive, and Impala to work with the same tables, all at the same time.

Data Architecture 93

Data Architecture Data Governance Big Data Marketing 93

IBM Big Data Hub

OCTOBER 31, 2019

This isn’t surprising given the influx of multiple types of data from disparate sources and the popularity of open source methods to capture and turn it into insight.

Data Architecture 42

Data Architecture Enterprise Reporting Management 42

TDAN

JANUARY 3, 2023

Breaking Bad with 3D Enterprise Systems is a book that details a practical and proven approach for building flexible applications. Blair Kjenner and Kewal Dhariwal combine several different techniques that allow project teams to create applications that not only met requirements, but could also handle new requirements with ease.

Enterprise 52

Enterprise Data Architecture Data Strategy Business Intelligence 52

Data Virtualization

MARCH 3, 2021

To remain competitive, organizations must have a data management strategy in place to effectively ingest, store, organize, and analyze data while ensuring that it is. The post Data Management Challenges for the Modern Enterprise appeared first on Data Virtualization blog.

Enterprise 75

Enterprise Management Strategy Data Lake 75

CIO Business Intelligence

NOVEMBER 28, 2023

But at the other end of the attention spectrum is data management, which all too frequently is perceived as being boring, tedious, the work of clerks and admins, and ridiculously expensive. Still, to truly create lasting value with data, organizations must develop data management mastery. And what do enterprises gain from that?

Management 131

Management Data Architecture Data Lake Data Strategy 131

CIO Business Intelligence

MARCH 18, 2024

Under the partnership, SAP is integrating Nvidia’s generative AI foundry service, including the newly announced Nvidia NIM inference microservices, into SAP Datasphere, SAP Business Technology Platform (BTP), RISE with SAP, and SAP’s enterprise applications portfolio. “We

Digital Transformation 118

Digital Transformation Optimization Modeling Data Science 118

CIO Business Intelligence

OCTOBER 4, 2022

New research co-authored by Marco Iansiti, the co-founder of the Digital Initiative at Harvard Business School, sheds further light on how a data platform with robust real-time capabilities contribute to delivering competitive, ML-driven experiences in large enterprises. Data architecture coherence.

Machine Learning 118

Machine Learning Data Architecture Uncertainty Data-driven 118

Alation

FEBRUARY 13, 2020

Following a very successful year of growth in Alation’s business, this announcement marks a milestone for Alation and the enterprise data catalog market. What started six years ago as one startup trying to improve the way people work with data has become a full-blown market category – Machine Learning Data Catalogs.

Enterprise 52

Enterprise Data Lake Machine Learning Data-driven 52

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.

Data Architecture 91

Data Architecture Marketing Strategy Sales 91

Dataiku

OCTOBER 27, 2020

Data architecture is a pivotal element of Enterprise AI. According to Gartner , “Data architecture is returning with vengeance as recent cloud practices have begun to encounter the systems design, data management, and application portfolio issues reminiscent of the 1990s.

Data Architecture 105

Data Architecture Enterprise Management 105

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 81

Optimization Data Architecture Data Governance Digital Transformation 81

AWS Big Data

APRIL 3, 2024

Businesses are constantly evolving, and data leaders are challenged every day to meet new requirements. For many enterprises and large organizations, it is not feasible to have one processing engine or tool to deal with the various business requirements. Andries has over 20 years of experience in the field of data and analytics.

Data Lake 91

Data Lake Snapshot Metadata Data Architecture 91

Cloudera

SEPTEMBER 26, 2023

Organizations increasingly rely on streaming data sources not only to bring data into the enterprise but also to perform streaming analytics that accelerate the process of being able to get value from the data early in its lifecycle.

Technology 95

Technology IT Data-driven Data Architecture 95

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. Enterprise architecture is key to success. “To

Modeling 105

Modeling Digital Transformation Data Architecture Data-driven 105

Cloudera

MARCH 28, 2024

But, even with the backdrop of an AI-dominated future, many organizations still find themselves struggling with everything from managing data volumes and complexity to security concerns to rapidly proliferating data silos and governance challenges.

Data Architecture 95

Data Architecture Strategy Data Lake Data-driven 95

DataKitchen

MAY 10, 2021

Intermediates: Build on your successes and work to scale your IDB capabilities across the enterprise using agile and adaptive DevOps, DataOps, and ModelOps processes. . The following resources will help you understand DataOps principles and how to get started: Blog: For Data Team Success, What You Do is Less Important Than How You Do It.

Data-driven 130

Data-driven Data Architecture Machine Learning Strategy 130