Capiro

AUGUST 20, 2021

What is a business data architecture? A business data architecture comprises definitions and models of an organisation’s concepts and data using the language of the business. Master your business data. It forms a picture of the business in terms of the data. Advantages of a business data architecture.

Data Architecture 52

Data Architecture UML Agile Business Analysis 52

Simplilearn

JUNE 15, 2021

Data is the key to get ahead of rivals in today's data-driven marketplace. Companies all over the world are turning to their increasingly rapidly growing data volumes to make strategic business decisions.

Data Architecture 173

Data Architecture 173

Dataversity

JANUARY 12, 2023

Open-source technologies will become even more prominent within enterprises’ data architecture over the coming year, driven by the stark budgetary advantages combined with some of the newest enterprise-friendly capabilities added to several solutions. Here are three predictions for the open-source data infrastructure space in 2023: 1.

Data Architecture 242

Data Architecture 242

Domo

SEPTEMBER 27, 2021

For another, as a data lake grows in complexity, it can lead to delays that impact innovation. Overcoming data lake disadvantages. 2 – Content ownership is assigned to those who know it best A business-centric data architecture allows the finance team to control finance data, the HR team to control HR data, and so on.

Data Architecture 52

Data Architecture Visualization Government Finance 52

Dataversity

MAY 15, 2023

In the buzzing world of data architectures, one term seems to unite some previously contending buzzy paradigms. That term is “knowledge graphs.” In this post, we will dive into the scope of knowledge graphs, which is maturing as we speak. First, let us look back.

Data Architecture 246

Data Architecture Data Modelling 246

Dataversity

JANUARY 25, 2023

Over the past few years, enterprise data architectures have evolved significantly to accommodate the changing data requirements of modern businesses. Data warehouses were first introduced in the […] The post Are Data Warehouses Still Relevant?

Data Warehouse 130

Data Warehouse Data Architecture Cloud Computing Data Requirement 130

Simplilearn

NOVEMBER 10, 2022

Data is helping us make better decisions, solve problems faster, and even predict what might happen next. Data architects ensure that the organizational data architecture and services is robust, and. But there's more work to be done. Read More.

Data Architecture 211

Data Architecture 211

Dataversity

OCTOBER 28, 2022

In the past, designing and developing a robust data warehouse that satisfied the need for timely and effective business intelligence (BI) was an overwhelmingly difficult task, as it required significant time, capital, and risk. The post Developing Agile Data Warehouse Architecture Using Automation appeared first on DATAVERSITY.

Data Warehouse 130

Data Warehouse Agile Data Architecture Business Intelligence 130

Dataversity

SEPTEMBER 12, 2022

The ways in which we store and manage data have grown exponentially over recent years – and continue to evolve into new paradigms. For much of IT history, though, enterprise data architecture has existed as monolithic, centralized “data lakes.” The post Data Mesh or Data Mess?

Data Architecture 130

Data Architecture Data Quality Data Governance Government 130

Dataversity

JUNE 24, 2022

Data models play an integral role in the development of effective data architecture for modern businesses. They are key to the conceptualization, planning, and building of an integrated data repository that drives advanced analytics and BI.

Data Modelling 130

Data Modelling Data Warehouse Data Architecture Planning 130

Tim Mitchell

JUNE 7, 2021

Specifically, I’d like to chat with you about the virtual space where your data architecture team, software developers, and information curators do their development and testing work. Let’s talk about your development environment.

Data Architecture 130

Data Architecture 130

Dataversity

MAY 16, 2022

In the context of a large system integration project, we are talking about awareness of: 1) Data Quality expectations and metrics, 2) Enterprise Data Management plan, 3) Data Governance best practices, 4) data risk factors, 5) Data Governance framework, 6) data owners/data consumers, 7) Data Architecture principles, 8) […].

Data Governance 130

Data Governance Government Data Architecture Data Quality 130

The Data Administration Newsletter

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.

Data Modelling 64

Data Modelling Data Architecture Planning Data Management 64

ElegantJ BI

JUNE 1, 2022

The integrated solution provides access to data sources and data warehouses using a robust data architecture with single-tenant or multi-tenant modes and flexible deployment via public or private cloud, or via on-premises hardware, so the business can deploy anywhere with no environmental dependencies.

Data Warehouse 130

Data Warehouse Data Modelling Data Architecture Embedded Analytics 130

ElegantJ BI

JUNE 1, 2022

The integrated solution provides access to data sources and data warehouses using a robust data architecture with single-tenant or multi-tenant modes and flexible deployment via public or private cloud, or via on-premises hardware, so the business can deploy anywhere with no environmental dependencies.

Data Warehouse 130

Data Warehouse Data Modelling Data Architecture Embedded Analytics 130

Timo Elliott

NOVEMBER 22, 2022

Of course, in the end, we want a consistent and integrated data architecture across the whole enterprise. Do we want to give that up and allow each individual to make adjustments to processes or establish their own? The good news is you can balance the two: the agility and standardization. “How does that look like in practice?

Agile 240

Agile Data Architecture Digital Vision 240

Domo

MARCH 2, 2021

Modern BI for all begins by shrinking the time between the ingestion of data and the insight it generates. This requires a new approach to data architecture—one that decentralizes data ownership and puts more power into the hands of domain experts.

Data Architecture 59

Data Architecture Data Warehouse Big Data 59

ElegantJ BI

MARCH 16, 2022

There are many benefits to Embedded BI approach including: World-Class Data Architecture provides access to a wealth of data sources and data warehouses, and accommodates business application architecture with single-tenant mode or multi-tenant modes.

Embedded Analytics 130

Embedded Analytics Data Modelling Data Warehouse Data Architecture 130

ElegantJ BI

MARCH 16, 2022

There are many benefits to Embedded BI approach including: World-Class Data Architecture provides access to a wealth of data sources and data warehouses, and accommodates business application architecture with single-tenant mode or multi-tenant modes.

Embedded Analytics 130

Embedded Analytics Data Modelling Data Warehouse Data Architecture 130

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

Smart Data Collective

SEPTEMBER 15, 2021

It is essential to process sensitive data only after acquiring a thorough knowledge of a stream processing architecture. The data architecture assimilates and processes sizable volumes of streaming data from different data sources. This very architecture ingests data right away while it is getting generated.

Real-time Data 253

Real-time Data Data Analytics Data Analytics Agile 253

Sisense

JULY 6, 2020

These regulations, ultimately, ensure key business values: data consistency, quality, and trustworthiness. Data architecture creates instructions that guide you through the data collection, integration, and transformation processes, as well as data modeling.

Data Management 98

Data Management Data Architecture Data Governance Digital Transformation 98

BizAcuity

NOVEMBER 22, 2022

In today’s world that is largely data-driven, organizations depend on data for their success and survival, and therefore need robust, scalable data architecture to handle their data needs. This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes.

Data Warehouse 246

Data Warehouse Real-time Data E-Commerce Data Architecture 246

Domo

APRIL 14, 2021

2 – The Art of Designing an Enterprise-level Data Architecture and Pipeline ( WATCH ) Facing an enterprise-scale data analysis and management implementation can be a daunting proposition. It’s what we build our Legos on.”

Agile 78

Agile Data Warehouse Data Architecture Data Visualization 78

BizAcuity

APRIL 14, 2022

There are a wide range of problems that are presented to organizations when working with big data. Challenges associated with Data Management and Optimizing Big Data. Unscalable data architecture. Scalable data architecture is not restricted to high storage space.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

Tableau

JULY 28, 2021

It’s become clear that our customers love the experience and understand how Tableau and Dremio together improve the analytic experience on their data lake.

Cloud Computing 95

Cloud Computing Data Architecture Data Analytics Data Analytics 95

Tableau

DECEMBER 7, 2022

Every company today is being asked to do more with less, and leaders need access to fresh, trusted KPIs and data-driven insights to manage their businesses, keep ahead of the competition, and provide unparalleled customer experiences. . But good data—and actionable insights—are hard to get.

Data Warehouse 86

Data Warehouse Data Architecture Visualization Data Visualization 86

Tableau

DECEMBER 7, 2022

Every company today is being asked to do more with less, and leaders need access to fresh, trusted KPIs and data-driven insights to manage their businesses, keep ahead of the competition, and provide unparalleled customer experiences. . But good data—and actionable insights—are hard to get.

Data Warehouse 81

Data Warehouse Data Architecture Visualization Data Visualization 81

Domo

MAY 24, 2021

It is focused on accessibility of the data from any source, allowing business users to create visualizations—with the flexibility and the power of the cloud. Business leaders, who will get reports available in real-time—with the most recent data—to make informed, data-driven decisions.

Business Intelligence 105

Business Intelligence Business Intelligence Data Architecture Agile 105

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. A unified platform will help you create a consistent data architecture that scales with your business.

Data Quality 52

Data Quality Data Architecture Data Warehouse Data Governance 52

Tableau

FEBRUARY 14, 2022

Let’s look at a few focus areas of a people-centric strategy to help you achieve trusted data and successful AI projects: your data architecture, the processes for managing governed data, and balancing the roles of people and machines. Lay a strong foundation with your data architecture. “I

Data Architecture 69

Data Architecture Chief Data Officer Government Data Warehouse 69

Domo

APRIL 19, 2021

You don’t need to be fluent in data to be able to make sense of it, to access it, to use it, and transform it from raw information into insight. By democratizing access to data stored in EDWs like Snowflake, Domo optimizes the value of the investments your company has made in its data architecture.

Data Warehouse 52

Data Warehouse Data Architecture Business Intelligence Business Intelligence 52

Tableau

FEBRUARY 14, 2022

Let’s look at a few focus areas of a people-centric strategy to help you achieve trusted data and successful AI projects: your data architecture, the processes for managing governed data, and balancing the roles of people and machines. Lay a strong foundation with your data architecture. “I

Data Architecture 62

Data Architecture Chief Data Officer Government Data Warehouse 62

Tableau

DECEMBER 7, 2022

Every company today is being asked to do more with less, and leaders need access to fresh, trusted KPIs and data-driven insights to manage their businesses, keep ahead of the competition, and provide unparalleled customer experiences. But good data—and actionable insights—are hard to get.

Data Warehouse 59

Data Warehouse Data Architecture Visualization Data Visualization 59

BizAcuity

MAY 24, 2022

Companies develop data ecosystems on the cloud, the data architecture is now independent of on-premise systems. Cloud-first strategy is much more cost-effective than on-premise undertakings. All-in or Cloud native: Bid adieu to on-premise altogether.

IBM Support 130

IBM Support IBM Maintenance IBM cost Digital Transformation 130

Tableau

JULY 28, 2021

It’s become clear that our customers love the experience and understand how Tableau and Dremio together improve the analytic experience on their data lake.

Cloud Computing 52

Cloud Computing Data Architecture Data Analytics Data Analytics 52

Dataversity

SEPTEMBER 6, 2023

However, these tools have also skewed our perceptions of what […] The post Is Your Data Ready for Generative AI? Generative AI (GenAI) is all the rage in the world today, thanks to the advent of tools like ChatGPT and DALL-E. To their credit, these innovations are extraordinary.

Artificial Intelligence 280

Artificial Intelligence Innovation Data Architecture 280