Dataversity

FEBRUARY 16, 2023

The topic of agile transformation is emerging, either driven “bottom-up” from product leaders or “top-down” by C-level executives. Being primarily transformation of the business, it is a response to digital strategy, thus connected with a wide range of topics – including Data Governance and Enterprise Architecture.

Agile 130

Agile Enterprise Architecture Data Governance Government 130

Dataversity

JULY 13, 2022

To harvest the latest data and get the best intelligence to guide decision-making requires an agile business process management (BPM) architecture. Businesses need to be able to ingest the latest data and act on that information to remain competitive. Different BPM platforms use a variety […].

Agile 130

Agile Real-time Data Business Process Management Digital Transformation 130

Dataversity

FEBRUARY 8, 2022

Every generation of data infrastructure technology has promised more speed and agility, or better standardization, centralization, and control. The post How to Combine Agility and Control with Data Convergence appeared first on DATAVERSITY. Essentially, […].

Agile 130

Agile Government Data Warehouse Data Architecture 130

Astera

JANUARY 23, 2024

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. This tailored approach is central to agile BI practices.

Agile 52

Agile Data Warehouse Data Quality Government 52

Domo

MAY 24, 2021

According to Gartner , data integration is “the consistent access and delivery of data across the spectrum of data subject areas and data structure types in the enterprise to meet the data consumption requirements of all applications and business processes.”

Government 136

Government Data Architecture Business Intelligence Business Intelligence 136

Dataversity

FEBRUARY 21, 2024

The same goes for data storage, where the technologies’ impact will be transformative, enabling greater business agility that companies need to […] The post 7 Ways AI Will Transform Data Storage appeared first on DATAVERSITY.

Artificial Intelligence 189

Artificial Intelligence Innovation Agile Data Architecture 189

Dataversity

JULY 27, 2023

Efforts to alleviate this – from, say, moving workloads to a cost-effective environment/on-prem or re-architecting to save costs – become difficult, as organizations often find themselves strapped for technical agility.

Agile 228

Agile Cloud Computing Data Architecture Data Security 228

Dataversity

NOVEMBER 30, 2023

Furthermore, SQL Server environments: Containers offer substantial potential for enhancing SQL Server’s agility, flexibility, and […] The post Navigating SQL Server High Availability in Kubernetes for Improved Performance appeared first on DATAVERSITY.

Agile 189

Agile Data Architecture 189

Astera

DECEMBER 22, 2022

Data Engineers : Build and manage a data warehouse strategy and execute them. Data Architects : Define a data architecture framework, including metadata, reference data, and master data. . Building a data warehouse can require lengthy development cycles that exhaust team resources and time.

Data Warehouse 52

Data Warehouse IBM Maintenance IBM Support Data Architecture 52

Dataversity

SEPTEMBER 20, 2023

The rapid pace of digital transformation has amplified the demand for efficient and seamless data exchange mechanisms that allow businesses to remain agile, make informed decisions, and maintain a competitive edge.

Digital Transformation 173

Digital Transformation Agile Digital Data Architecture 173

Dataversity

JANUARY 19, 2023

An Integration Platform as a Service (iPaaS) can help businesses obtain the full value of their software investments, delivering speed, agility, and scalability, along with a host of other benefits. But the current approach to iPaaS is instead holding businesses back.

Digital Transformation 223

Digital Transformation Digital Agile Data Architecture 223

Dataversity

SEPTEMBER 16, 2022

As a principal solutions architect, I always start my cloud architecture discussions with the “triangle of truth,” or “holy trinity” of architecture principles for cloud: stability, agility, and security. You must have these three things. The rub is that hitting any two vertices of those pillars is pretty straightforward.

Agile 246

Agile Data Architecture Data Security 246

Dataversity

OCTOBER 4, 2022

The rise of data lakes and adjacent patterns such as the data lakehouse has given data teams increased agility and the ability to leverage major amounts of data. Constantly evolving data privacy legislation and the impact of major cybersecurity breaches has led to the call for responsible data […].

Government 237

Government Cybersecurity Agile Data Governance 237

Dataversity

APRIL 19, 2022

For companies, this puts a bigger onus than ever before on agility, adaptability, and flexibility. In today’s post-pandemic business world, only one thing is certain: change. It also means companies need to step out of their comfort zones and try new approaches and methods.

Agile 246

Agile Enterprise Architecture Data Architecture Digital 246

Dataversity

FEBRUARY 28, 2022

The pandemic has been a test for many businesses, especially when it comes to their agility, adaptability, and resilience. The ongoing crisis has shown that organizations must be equipped to rapidly respond to unexpected crises – be they cyberattacks, natural disasters, or even a global pandemic.

Agile 246

Agile Cloud Computing Data Architecture 246

Dataversity

DECEMBER 27, 2021

Organizations are now taking inventory of their IT infrastructure and prioritizing more agile cyber asset […]. Companies have been racing to mature their technologies and pursue digital transformations in the last few years, as a way to gain or maintain competitive advantage and resilience.

Digital Transformation 246

Digital Transformation Agile Digital Data Architecture 246

Dataversity

FEBRUARY 17, 2022

The vast majority of companies have instituted flexible working policies to retain and attract employees; behind the scenes, they have also increasingly adopted cloud services to enable agility during uncertain […]. The post What the Hybrid, Multi-Cloud Resurgence Means for the Cloud Landscape appeared first on DATAVERSITY.

Agile 237

Agile Digital Transformation Data Architecture Digital 237

Dataversity

OCTOBER 22, 2021

In today’s competitive enterprise landscape, having a proper DataOps strategy in place correlates with better data intelligence and optimization within an organization – breaking down silos and enabling data democratization and better business agility at scale.

Agile 246

Agile Data Architecture Data Governance Government 246

Dataversity

SEPTEMBER 27, 2021

DataOps, which focuses on automated tools throughout the ETL development cycle, responds to a huge challenge for data integration and ETL projects in general. ETL projects are increasingly based on agile processes and automated testing. extract, transform, load) projects are often devoid of automated testing. The […].

Agile 246

Agile Data Warehouse Data Quality Data Architecture 246

Astera

NOVEMBER 30, 2023

With its foundation rooted in scalable hub-and-spoke architecture, Data Vault 1.0 provided a framework for traceable, auditable, and flexible data management in complex business environments. Building upon the strengths of its predecessor, Data Vault 2.0 Data Vault 2.0 What’s New in Data Vault 2.0?

Data Warehouse 52

Data Warehouse Healthcare Big Data Data Governance 52

Tableau

JUNE 13, 2022

Data fabrics—AI-based data management designed for federated environments—are the connective tissue between data, infrastructure, and software. Data fabrics support data discovery, linkability, quality, and governance, while also assuring agile, trusted information business use at scale. . Learn more.

Chief Data Officer 78

Chief Data Officer Government Data Discovery Data Architecture 78

Dataversity

AUGUST 1, 2023

This approach made sense as businesses sought to enhance elasticity, developer agility, service availability, and flexibility. In the early years of the cloud, the prevailing notion was straightforward: Store everything in the public cloud and stay there indefinitely. However, as these businesses have grown, the landscape has changed.

Agile 130

Agile Cloud Computing Data Architecture 130

Dataversity

JULY 5, 2023

Inherent variable cost structures enable businesses to evolve away from the traditional fixed-cost methods of managing IT infrastructure, adopting cloud-first models that are controllable, agile, and secure; enable operations to readily scale as needed; and optimize […] The post Vendor-Agnostic Multi-Cloud Management Is a True Game Changer appeared (..)

Agile 130

Agile Cloud Computing Data Architecture 130

Tableau

JUNE 13, 2022

Data fabrics—AI-based data management designed for federated environments—are the connective tissue between data, infrastructure, and software. Data fabrics support data discovery, linkability, quality, and governance, while also assuring agile, trusted information business use at scale. . Learn more.

Chief Data Officer 72

Chief Data Officer Government Data Discovery Data Architecture 72

Dataversity

APRIL 5, 2021

Agility is key to success here. However, most enterprises are hampered by data strategies that leave teams flat-footed when […]. The post Why the Next Generation of Data Management Begins with Data Fabrics appeared first on DATAVERSITY. Click to learn more about author Kendall Clark.

Data Management 244

Data Management Agile Data Warehouse Data Modelling 244

Astera

FEBRUARY 14, 2024

Data vault is an emerging technology that enables transparent, agile, and flexible data architectures, making data-driven organizations always ready for evolving business needs. What is a Data Vault?  A data vault is a data modeling technique that enables you to build data warehouses for enterprise-scale analytics.

Data Warehouse 52

Data Warehouse Data Modelling Agile Data Quality 52

Dataversity

OCTOBER 28, 2022

Now more than ever, business success relies on an agile cyber asset management strategy. Over the past year, inflation, supply chain delays, cybercrime, transitions to remote work, and the Great Resignation have all drastically altered the business world, forcing enterprises to reevaluate and future-proof their IT infrastructure.

Supply Chain 130

Supply Chain Agile Cloud Computing Data Architecture 130

Actian

SEPTEMBER 3, 2019

In order to delve into each of the four key trends identified in the survey and highlighted in the Datacast Infographic , we are releasing a series of in-depth blog posts, which you can find and follow along with on Data at Work , the official Actian blog.

Data Architecture 40

Data Architecture User Experience Data Warehouse Innovation 40

Actian

SEPTEMBER 3, 2019

In order to delve into each of the four key trends identified in the survey and highlighted in the Datacast Infographic , we are releasing a series of in-depth blog posts, which you can find and follow along with on Data at Work , the official Actian blog.

Data Architecture 40

Data Architecture User Experience Data Warehouse Innovation 40

Dataversity

FEBRUARY 1, 2022

This enables more agile business transformation but also affords cyberattackers increased options to mount cyberattacks. Increasingly, organizations are using a hybrid IT landscape of on-premises and cloud infrastructure, and a growing number now use a multi-cloud environment.

Agile 130

Agile Data Architecture Data Security Cybersecurity 130

Astera

NOVEMBER 16, 2022

The 2022 Global Hybrid Cloud Trends Report by Cisco shows that 82% of organizations have adopted the hybrid cloud, which isn’t surprising given the growing popularity of hybrid data architectures among modern IT professionals. This way, you can modernize your data Infrastructure with minimal risk of data loss.

Data Architecture 52

Data Architecture Data Quality Data Warehouse Data Governance 52

Dataversity

AUGUST 30, 2021

DataOps, which focuses on automated tools throughout the ETL development cycle, responds to a huge challenge for data integration and ETL projects in general. ETL projects are increasingly based on agile processes and automated testing. extract, transform, load) projects are often devoid of automated testing. The […].

Agile 130

Agile Data Warehouse Data Quality Data Architecture 130

Domo

OCTOBER 22, 2021

All too often, enterprise data is siloed across various business systems, SaaS systems, and enterprise data warehouses, leading to shadow IT and “BI breadlines”—a long queue of BI requests that can keep getting longer, compounding unresolved requests for data engineering services. The bottom line.

Data Warehouse 52

Data Warehouse Embedded Analytics Government Digital Transformation 52

Dataversity

APRIL 26, 2021

If you work in the manufacturing or production sectors, it’s likely you’ve spent the last few years reading endless articles about the fourth industrial revolution and the massive benefits it can bring in terms of efficiency and agility. Unfortunately most of the literature on how to implement […].

Agile 130

Agile Digital Transformation Artificial Intelligence Data Architecture 130

Dataversity

MARCH 19, 2021

In 2020, countless industries were forced to accelerate their digital transformation practices, having no other option but to be agile in supporting the new normal: a remote business infrastructure. Click to learn more about author Borya Shakhnovich. What has helped lessen the burden for employers?

Digital Transformation 130

Digital Transformation Agile Digital Cloud Computing 130

Sisense

AUGUST 28, 2019

With the introduction of VMware in the 1990s, developers embraced the ability to run their applications on virtual machines that could then run on any physical machine architecture. In the early days of software development, applications were built to run on a single, compatible, physical machine.

Cloud Computing 73

Cloud Computing Data Architecture Data Modelling Documentation 73

Sisense

AUGUST 28, 2020

We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. Distinguishing between data integrity and security.

Data Quality 101

Data Quality Data Security Data Architecture Agile 101