Dataversity

JANUARY 31, 2024

Its rise bears significant […] The post Data Under Siege? Combatting the Weaponization of Information in the Digital Age appeared first on DATAVERSITY.

Digital 299

Digital Data Architecture Data Security Cybersecurity 299

Dataversity

SEPTEMBER 10, 2024

Companies increasingly know the need to protect their sensitive information and continue investing heavily in cybersecurity measures. However, this approach has a critical oversight: The assumption that […] The post The Role of Data Security in Protecting Sensitive Information Across Verticals appeared first on DATAVERSITY.

Data Security 130

Data Security Cybersecurity Data Governance Data Quality 130

Dataversity

NOVEMBER 11, 2022

A stateful application saves data generated by each client session and uses it the next time the client makes a request. A stateless application doesn’t save client data from one session to the next. The post How a Stateless Data Architecture Can Enable You to Harness the Power of Today’s Agile Data appeared first on DATAVERSITY.

Data Architecture 130

Data Architecture Agile 130

Astera

JULY 3, 2024

What is Data Architecture? Data architecture is a structured framework for data assets and outlines how data flows through its IT systems. It provides a foundation for managing data, detailing how it is collected, integrated, transformed, stored, and distributed across various platforms.

Data Architecture 40

Data Architecture Data Warehouse Data Governance Government 40

Capiro

JUNE 23, 2022

A business data architecture comprises definitions and models of an organisation’s data. The models provide a picture of the business in terms of the data. Understanding the data architecture is a key skill of a business analyst. Understanding the data architecture is a key skill of a business analyst.

Data Architecture 52

Data Architecture UML Enterprise Architecture Agile 52

Astera

APRIL 7, 2023

However, with massive volumes of data flowing into organizations from different sources and formats, it becomes a daunting task for enterprises to manage their data. That’s what makes Enterprise Data Architecture so important since it provides a framework for managing big data in large enterprises.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

APRIL 7, 2023

However, with massive volumes of data flowing into organizations from different sources and formats, it becomes a daunting task for enterprises to manage their data. That’s what makes Enterprise Data Architecture so important since it provides a framework for managing big data in large enterprises.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

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 Data Modelling 52

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. This information could lead to additional training workshops to increase adoption. To learn more about implementing a business-centric data architecture, contact me directly at karl.altern@domo.com.

Data Architecture 52

Data Architecture Finance Government Visualization 52

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. What are Information Marts?

Agile 52

Agile Data Warehouse Data Quality Government 52

Simplilearn

NOVEMBER 10, 2022

Data is changing the world. We have access to more information than ever before, and we're able to use it in new ways. 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.

Data Architecture 211

Data Architecture 211

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

Dataversity

APRIL 2, 2024

According to the Bureau of Labor Statistics, the outlook for jobs around managing data architecture and databases looks pretty good: The number of professionals with roles around managing data is due to grow by eight percent from 2022 to 2032.

Data Architecture 147

Data Architecture 147

Dataversity

MARCH 4, 2024

Companies are currently in the midst of a significant paradigm shift, where they are faced with the decision to either over-complicate their data architecture or opt for a single cloud solution.

Data Architecture 147

Data Architecture Data Management 147

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

The Data Administration Newsletter

DECEMBER 19, 2023

This is due to the vast amounts of usable data that exists within an organization, but is not utilized or analyzed to serve a specific purpose. These untapped sources could include customer information, transaction records, and more. Since dark data represents missed opportunities for […]

Data Governance 52

Data Governance Data Architecture Government Data Management 52

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

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

The Data Administration Newsletter

MARCH 2, 2021

This article attempts to analyze and make sense of a harmonization between Information Architecture and SAFe, and will address how their cooperation will contribute to the development of an Agile Business. SAFe is a very modern Agile Framework and has replaced TOGAF in many organizations.

Agile 59

Agile Data Architecture Business Intelligence Business Intelligence 59

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

Smart Data Collective

FEBRUARY 23, 2021

To avoid this, you should consider: Adding meta-tags Coming up with a taxonomy governance Applying version control Scan data regularly to correct problems. The whole point of using big data to make informed marketing decisions is the fact that it removes inconsistencies. Not Having a Data Architecture Plan.

Big Data 294

Big Data Data Quality Data Visualization Visualization 294

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 283

Real-time Data Customer Experience Customer Experience Agile 283

Astera

SEPTEMBER 4, 2024

Implementing a modern, integrated data architecture can help you break down data silos, which cause C-suite decision-makers to lose 12 hours a week. Furthermore, more than 60% of organizations agree that data silos represent a significant business challenge. Discuss your data strategy with us. What Is Data Mesh?

Data Architecture 52

Data Architecture Data Governance Government Data Discovery 52

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

Passionate BA

MAY 29, 2024

You can enjoy this information both in video format and as a text below. To do all these things, you analyze needs, evaluate options, and make decisions based on your information, intending to get the most value from your resources. and “What do Business Analysts do?” Cheers and have a great time of the day!

Business Analysis 130

Business Analysis Business Analysis Business Architecture Agile 130

Dataversity

FEBRUARY 28, 2024

IAM serves as the gatekeeper to an organization’s sensitive information, ensuring that only authorized individuals have an appropriate level of access. With […] The post Protecting Your Data: 5 IAM Trends to Watch appeared first on DATAVERSITY.

Digital 276

Digital Data Governance Data Quality Data Architecture 276

Domo

JULY 23, 2024

Crafting an effective data strategy across cloud systems can feel like trying to herd cats. Despite advancements in data engineering and predictive modeling, chief information officers (CIOs) face the tough challenge of making data accessible and breaking down silos that hinder progress.

Data Warehouse 52

Data Warehouse Data Security Data Architecture Government 52

Astera

AUGUST 13, 2024

The transition includes adopting in-memory databases, data streaming platforms, and cloud-based data warehouses, which facilitate data ingestion , processing, and retrieval. The upgrade allows employees to access and analyze data easily, essential for quickly making informed business decisions.

Data Governance 52

Data Governance Data Architecture Data Quality Real-time Data 52

Astera

APRIL 24, 2024

It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards. The framework, therefore, provides detailed documentation about the organization’s data architecture, which is necessary to govern its data assets.

Data Governance 52

Data Governance Government Data Architecture Data Quality 52

The BAWorld

SEPTEMBER 18, 2024

Data Integration Overview Data integration is actually all about combining information from multiple sources into a single and unified view for the users. This article explains what exactly data integration is and why it matters, along with detailed use cases and methods. How does data integration work?

Data Warehouse 52

Data Warehouse Finance Data Architecture Retail 52

Dataversity

JUNE 20, 2024

Information about customers is likely scattered across an assortment of applications and devices ranging from your customer relationship management system to logs from customer-facing applications, […] The post End the Tyranny of Disaggregated Data appeared first on DATAVERSITY. You need to find out why and fast.

Data Governance 173

Data Governance Data Quality Data Architecture Government 173

Dataversity

AUGUST 9, 2023

The Information Age has flooded the modern enterprise with data. Business and […] The post Why AI Forces Data Management to Up Its Game appeared first on DATAVERSITY. Demand for enterprise storage capacity will only increase in the years ahead. Where Is This Growth Coming From?

Data Management 246

Data Management Artificial Intelligence Data Architecture 246

Dataversity

SEPTEMBER 20, 2023

In today’s dynamic business landscape, the ability to share, receive, and process information swiftly has become a critical success factor. As organizations expand and […] The post Seamless Data Exchange: Best Practices for Modern Businesses appeared first on DATAVERSITY.

Digital Transformation 173

Digital Transformation Agile Digital Data Architecture 173

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. Switching to a partition-based load strategy made our data warehouse more scalable, flexible, manageable, and accurate.”.

Agile 98

Agile Data Warehouse Data Architecture Logistics 98

Tableau

DECEMBER 7, 2022

But good data—and actionable insights—are hard to get. Traditionally, organizations built complex data pipelines to replicate data. Those data architectures were brittle, complex, and time intensive to build and maintain, requiring data duplication and bloated data warehouse investments.

Talent Acquisition 98

Talent Acquisition Data Warehouse Data Architecture Visualization 98