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

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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.

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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

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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

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?

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Smart Data Collective

FEBRUARY 23, 2021

To help you identify and resolve these mistakes, we’ve put together this guide on the various big data mistakes that marketers tend to make. Big Data Mistakes You Must Avoid. Here are some common big data mistakes you must avoid to ensure that your campaigns aren’t affected. Ignoring Data Quality.

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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) […].

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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?

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Astera

APRIL 24, 2024

A data governance framework is a structured way of managing and controlling the use of data in an organization. It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards.

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BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 megabytes of data every second?

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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

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Astera

AUGUST 13, 2024

Data-first modernization is a strategic approach to transforming an organization’s data management and utilization. It involves making data the center and organizing principle of the business by centralizing data management, prioritizing data quality , and integrating data into all business processes.

Data Governance 52

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Astera

JUNE 14, 2024

Unlike passive approaches, which might only react to issues as they arise, active data governance anticipates and mitigates problems before they impact the organization. Here’s a breakdown of its key components: Data Quality: Ensuring that data is complete and reliable.

Data Governance 52

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Dataversity

MAY 26, 2023

Suppose you’re in charge of maintaining a large set of data pipelines from cloud storage or streaming data into a data warehouse. How can you ensure that your data meets expectations after every transformation? That’s where data quality testing comes in.

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Astera

MARCH 19, 2024

It involves developing and enforcing policies, procedures, and standards to ensure data is consistently available, accurate, secure, and compliant throughout its lifecycle. At its core, data governance aims to answer questions such as: Who owns the data? What data is being collected and stored?

Data Governance 52

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Astera

MARCH 20, 2024

Enterprise data management (EDM) is a holistic approach to inventorying, handling, and governing your organization’s data across its entire lifecycle to drive decision-making and achieve business goals. It provides a strategic framework to manage enterprise data with the highest standards of data quality , security, and accessibility.

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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

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Dataversity

MAY 26, 2022

A data lake becomes a data swamp in the absence of comprehensive data quality validation and does not offer a clear link to value creation. Organizations are rapidly adopting the cloud data lake as the data lake of choice, and the need for validating data in real time has become critical.

Data Quality 130

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Dataversity

MAY 9, 2022

Data fabric is redefining enterprise data management by connecting distributed data sources, offering speedy data access, and strengthening data quality and governance. This article gives an expert outlook on the key ingredients that go into building […].

Data Quality 130

Data Quality Government Data Management Master Data Management 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

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. Here are some key benefits of hybrid cloud integration: Ownership of Data. Data Quality.

Data Architecture 52

Data Architecture Data Quality Data Warehouse Data Governance 52

Astera

MAY 22, 2024

What is Data Governance Data governance covers processes, roles, policies, standards, and metrics that help an organization achieve its goals by ensuring the effective and efficient use of information. It sets up the processes and responsibilities necessary to maintain the data’s quality and security across the business.

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The Data Administration Newsletter

MAY 17, 2022

One of the greatest contributions to the understanding of data quality and data quality management happened in the 1980s when Stuart Madnick and Rich Wang at MIT adapted the concept of Total Quality Management (TQM) from manufacturing to Information Systems reframing it as Total Data Quality Management (TDQM).

Data Quality 52

Data Quality Data Governance Data Architecture Data Management 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

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Astera

JUNE 4, 2024

Unlike data dictionaries, which focus on structured data within a specific database, a data catalog creates a comprehensive registry of data assets across an organization. Metadata About Each Data Asset Data catalogs function as detailed libraries, which means each data set is assigned metadata , a set of informational tags.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Astera

FEBRUARY 14, 2024

Only 5% of businesses feel they have data management under control, while 77% of industry leaders consider growing volume of data one of the biggest challenges. Data Vault Architecture  A data vault follows a three-layered architecture containing the raw, business, and information vault.

Data Warehouse 52

Data Warehouse Data Modelling Agile Data Quality 52

Tableau

SEPTEMBER 23, 2021

Data privacy policy: We all have sensitive data—we need policy and guidelines if and when users access and share sensitive data. Data quality: Gone are the days of “data is data, and we just need more.” Now, data quality matters. Data modeling. Data migration .

Data Governance 101

Data Governance Government Data Quality Change Management 101

Dataversity

SEPTEMBER 20, 2021

Sources indicate 40% more Americans will travel in 2021 than those in 2020, meaning travel companies will collect an enormous amount of personally identifiable information (PII) from passengers engaging in “revenge” travel. The post Three Tips for Safeguarding Against Data Breaches appeared first on DATAVERSITY.

Digital 246

Digital Data Discovery Data Governance Data Quality 246

Tableau

SEPTEMBER 23, 2021

Data privacy policy: We all have sensitive data—we need policy and guidelines if and when users access and share sensitive data. Data quality: Gone are the days of “data is data, and we just need more.” Now, data quality matters. Data modeling. Data migration .

Data Governance 97

Data Governance Government Data Quality Change Management 97

Sisense

AUGUST 28, 2020

However, as a data team member, you know how important data integrity (and a whole host of other aspects of data management) is. In this article, we’ll dig into the core aspects of data integrity, what processes ensure it, and how to deal with data that doesn’t meet your standards.

Data Quality 101

Data Quality Data Security Data Architecture Agile 101

Astera

FEBRUARY 14, 2024

For example, you may need to standardize address information if it’s in a different format. Data Validation: Perform thorough validation checks on the data to ensure accuracy and completeness. Apply custom validation rules to validate data against predefined criteria and reconcile any discrepancies to maintain data quality.

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Dataversity

FEBRUARY 6, 2023

Organizations seeking responsive and sustainable solutions to their growing data challenges increasingly lean on architectural approaches such as data mesh to deliver information quickly and efficiently.

Master Data Management 130

Master Data Management Data Architecture Data Quality Data Management 130

Dataversity

JANUARY 12, 2022

The post Data Fabric and RegTech: When Data Needs a Specific Domain for the Regulator appeared first on DATAVERSITY.

Digital Transformation 246

Digital Transformation Digital Data Governance Data Architecture 246

Dataversity

JUNE 26, 2023

Today, businesses and individuals expect instant access to information and swift delivery of services. The same expectation applies to data, […] The post Leveraging Data Pipelines to Meet the Needs of the Business: Why the Speed of Data Matters appeared first on DATAVERSITY.

Data Quality 130

Data Quality Data Governance Data Architecture Government 130

Astera

DECEMBER 2, 2022

An effective data migration execution aids healthcare data management and enables healthcare organizations to improve patient care, reduce costs and make informed business decisions based on data insights. Reasons to Migrate Healthcare Data: There are various reasons why organizations seek a data migration solution.

Healthcare 52

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Astera

OCTOBER 19, 2023

Easy-to-Use, Code-Free Environment By eliminating the need for writing complex code, data preparation tools reduce the risk of errors. These tools allow users to manipulate and transform data without the potential pitfalls of manual coding. The tool also lets users visually explore data through data exploration and profiling.

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

Dataversity

JULY 8, 2022

As employers adjust to the post-pandemic future of the office, today’s fast-paced workflows and client demands have changed how knowledge workers access and use data. Properly and efficiently accessing data and information for employees to make informed decisions remains a […].

Data Quality 130

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