Data Architecture, Data Quality and Documentation

Data Governance Framework: What is it? Importance, Pillars and Best Practices

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.

Data Governance

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What Is Data Governance and Why It Matters?

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

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Enterprise Data Management: Strategy, Benefits, Best Practices

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.

Data Management

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Data Governance at the Edge of the Cloud

Dataversity

JUNE 14, 2022

With that, I’ve long believed that for most large cloud platform providers offering managed services, such as document editing and storage, email services and calendar […]. The post Data Governance at the Edge of the Cloud appeared first on DATAVERSITY.

Data Governance

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Best Data Mining Tools in 2024

Astera

MAY 6, 2024

Best For: Businesses that require a wide range of data mining algorithms and techniques and are working directly with data inside Oracle databases. Sisense Sisense is a data analytics platform emphasizing flexibility in handling diverse data architectures. Data quality is a priority for Astera.

Data Mining

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The Best Data Pipeline Tools List for 2023

Astera

JUNE 6, 2023

As the volume and complexity of data continue to rise, effective management and processing become essential. The best data pipeline tools offer the necessary infrastructure to automate data workflows, ensuring impeccable data quality, reliability, and timely availability.

Data Warehouse

Data Warehouse Monitoring Real-time Data Documentation

A Definitive Guide to Healthcare Data Migration

Astera

DECEMBER 2, 2022

Reasons to Migrate Healthcare Data: There are various reasons why organizations seek a data migration solution. Modernizing Data Systems: Data architecture modernization is the most common reason for data migration. Stage 2: Cleansing Data. Stage 3: Structuring Data.

Healthcare

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How to: Focus on three areas for a holistic data governance approach for self-service analytics

Tableau

SEPTEMBER 23, 2021

Low data discoverability: For example, Sales doesn’t know what data Marketing even has available, or vice versa—or the team simply can’t find the data when they need it. . Unclear change management process: There’s little or no formality around what happens when a data source changes. Now, data quality matters.

Data Governance

Data Governance Government Data Quality Change Management

How to: Focus on three areas for a holistic data governance approach for self-service analytics

Tableau

SEPTEMBER 23, 2021

Low data discoverability: For example, Sales doesn’t know what data Marketing even has available, or vice versa—or the team simply can’t find the data when they need it. . Unclear change management process: There’s little or no formality around what happens when a data source changes. Now, data quality matters.

Data Governance

Data Governance Government Data Quality Change Management

Data Vault 101: Your Guide to Adaptable and Scalable Data Warehousing

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. It applies selected business rules, calculations, data cleansing and data quality functions to the data. Follow the data vault 2.0

Data Warehouse

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Salesforce Data Migration: What Is It & How to Set It Up?

Astera

FEBRUARY 14, 2024

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. Data Loading: Load the transformed data into Salesforce.

IBM Support

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Data Vault 2.0: What You Need to Know

Astera

NOVEMBER 30, 2023

Additionally, Data Vault 2.0 Data Vault 2.0 establishes comprehensive standards and guidelines for naming, modeling, loading, and documenting data. This ensures a foundation of quality, clarity, and manageability, making Data Vault 2.0 a comprehensive solution for modern data warehousing.

Data Warehouse

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None Shall Pass! Are Your Database Standards Too Rigid?

The Data Administration Newsletter

AUGUST 3, 2021

Database standards are common practices and procedures that are documented and […]. Rigidly adhering to a standard, any standard, without being reasonable and using your ability to think through changing situations and circumstances is itself a bad standard.

Documentation

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10 Best Informatica Alternatives & Competitors in 2024

Astera

DECEMBER 28, 2023

Transform and shape your data the way your business needs it using pre-built transformations and functions. Ensure only healthy data makes it to your data warehouses via built-in data quality management. Automate and orchestrate your data integration workflows seamlessly.

IBM cost

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10 Best Informatica Alternatives & Competitors in 2024

Astera

DECEMBER 28, 2023

Transform and shape your data the way your business needs it using pre-built transformations and functions. Ensure only healthy data makes it to your data warehouses via built-in data quality management. Automate and orchestrate your data integration workflows seamlessly.

IBM cost

IBM cost IBM Support IBM Maintenance Data Warehouse

Cloud Data Warehouse: A Comprehensive Guide

Astera

OCTOBER 27, 2023

Practical Tips To Tackle Data Quality During Cloud Migration The cloud offers a host of benefits that on-prem systems don’t. Here are some tips to ensure data quality when taking your data warehouse to the cloud. The added layer of governance enhances the overall data quality management efforts of an organization.

Data Warehouse

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Business Analysis Digest

Data Governance Framework: What is it? Importance, Pillars and Best Practices

What Is Data Governance and Why It Matters?

Trending Sources

Enterprise Data Management: Strategy, Benefits, Best Practices

Data Governance at the Edge of the Cloud

Best Data Mining Tools in 2024

The Best Data Pipeline Tools List for 2023

A Definitive Guide to Healthcare Data Migration

How to: Focus on three areas for a holistic data governance approach for self-service analytics

How to: Focus on three areas for a holistic data governance approach for self-service analytics

Data Vault 101: Your Guide to Adaptable and Scalable Data Warehousing

Salesforce Data Migration: What Is It & How to Set It Up?

Data Vault 2.0: What You Need to Know

None Shall Pass! Are Your Database Standards Too Rigid?

10 Best Informatica Alternatives & Competitors in 2024

10 Best Informatica Alternatives & Competitors in 2024

Cloud Data Warehouse: A Comprehensive Guide

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