Astera

JANUARY 29, 2024

These insights touch upon: The growing importance of protecting data. The role of data governance. Resolving data security issues. “Data privacy is becoming more and more important as our data resides with so many companies. The impact of industry regulations. Balancing the benefits and risks of AI.

Government 145

Government Data Warehouse Data Governance Artificial Intelligence 145

Astera

MAY 8, 2024

Improved Data Quality and Governance: Access to high-quality data is crucial for making informed business decisions. A business glossary is critical in ensuring data integrity by clearly defining data collection, storage, and analysis terms.

Data Governance 52

Data Governance Government Healthcare Retail 52

Astera

APRIL 24, 2024

What is a Data Governance Framework? 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 52

Data Governance Government Data Architecture Data Quality 52

Astera

APRIL 29, 2024

An effective data governance strategy is crucial to manage and oversee data effectively, especially as data becomes more critical and technologies evolve. What is a Data Governance Strategy? A vital aspect of this strategy includes sharing data seamlessly.

Data Governance 52

Data Governance Government IBM Maintenance Data Quality 52

Astera

MARCH 19, 2024

Data governance refers to the strategic management of data within an organization. It involves developing and enforcing policies, procedures, and standards to ensure data is consistently available, accurate, secure, and compliant throughout its lifecycle.

Data Governance 52

Data Governance Government Data Quality Monitoring 52

Astera

APRIL 4, 2024

However, according to a survey, up to 68% of data within an enterprise remains unused, representing an untapped resource for driving business growth. One way of unlocking this potential lies in two critical concepts: data governance and information governance.

Data Governance 52

Data Governance Government E-Commerce Data Quality 52

Astera

APRIL 19, 2024

Data governance and data quality are closely related, but different concepts. The major difference lies in their respective objectives within an organization’s data management framework. Data quality is primarily concerned with the data’s condition.

Data Governance 52

Data Governance Data Quality Government Monitoring 52

Astera

FEBRUARY 28, 2024

In other words, a data warehouse is organized around specific topics or domains, such as customers, products, or sales; it integrates data from different sources and formats, and tracks changes in data over time. Encryption, data masking, authentication, authorization, and auditing are your arsenal.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

MAY 25, 2023

We’ll provide advice on topics such as data governance, choosing between ETL and ELT, integrating with other systems, and more. Additionally, Snowflake allows you to easily set up secure data sharing with other companies or partners. So that you can build a reliable and resilient Snowflake environment.

Data Quality 52

Data Quality Government Data Governance Monitoring 52

Astera

NOVEMBER 27, 2023

Here are some of the distinct advantages of data profiling: Informed Decision-Making: Data profiling provides a clear understanding of the available data, its quality, and its structure. Astera stands out as a comprehensive solution that offers advanced data profiling, cleansing, and validation capabilities.

Data Mining 52

Data Mining Data Quality Data Governance Business Intelligence 52

Astera

JUNE 6, 2023

The best data pipeline tools offer the necessary infrastructure to automate data workflows, ensuring impeccable data quality, reliability, and timely availability. Empowering data engineers and analysts, these tools streamline data processing, integrate diverse sources, and establish robust data governance practices.

Data Warehouse 52

Data Warehouse Monitoring Real-time Data Documentation 52

Astera

MAY 9, 2023

In such a scenario, it becomes imperative for businesses to follow well-defined guidelines to make sense of the data. That is where data governance and data management come into play. Let’s look at what exactly the two are and what the differences are between data governance vs. data management.

Data Governance 52

Data Governance Government Data Management Data Security 52

Astera

JANUARY 23, 2024

Accuracy through Data Governance : Information marts empower data owners and stewards to control and maintain data quality within their domains. Governance practices, including data quality rules and security policies, are enforced at the mart level.

Agile 52

Agile Data Warehouse Data Quality Government 52

BizAcuity

APRIL 14, 2022

Big data paved the way for organizations to get better at what they do. Data management and analytics are a part of a massive, almost unseen ecosystem which lets you leverage data for valuable insights. Such is the significance of big data in today’s world. Data Management. Slow query performance.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

Domo

NOVEMBER 4, 2021

In my 20 years working with data, I have often pushed my teams to “manage our data work like a website.” I mean that we need to monitor how data is being used, who is engaging with our data, how often they are engaging with our data, and then be prepared to field the many questions that are sure to follow.

Government 59

Government Monitoring Data Governance Data Management 59

Astera

JUNE 13, 2023

Data Streaming For real-time or streaming data, they employs techniques to process data as it flows in, allowing for immediate analysis, monitoring, or alerting. Stream processing platforms handle the continuous flow of data, enabling real-time insights. ETL processes are often used for batch processing scenarios.

E-Commerce 52

E-Commerce Data Quality Real-time Data Data Warehouse 52

Astera

JANUARY 25, 2024

Reverse ETL, used with other data integration tools , like MDM (Master Data Management) and CDC (Change Data Capture), empowers employees to access data easily and fosters the development of data literacy skills, which enhances a data-driven culture.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

The Data Administration Newsletter

JUNE 15, 2021

From tip to tail, we’re changing the way users on our platform access, enrich, manage, and monitor the data flowing through their environment. My company has been talking a lot about our products because there has been some incredible progress on what we’re delivering to the organizations we work with. At […].

Monitoring 98

Monitoring Data Governance Big Data Government 98

Astera

MARCH 20, 2024

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Why is Enterprise Data Management Important?

Data Management 52

Data Management Master Data Management Data Warehouse Government 52

Astera

MAY 14, 2024

Let’s look at some of the metadata types below: Operational metadata: details how and when data occurs and transforms. This metadata type helps to manage, monitor, and optimize system architecture performance. Examples include time stamps, execution logs, data lineage, and dependency mapping. Image by Astera.

Government 52

Government Data Governance Master Data Management Documentation 52

Astera

MAY 13, 2024

Consolidating, summarized data from wide-ranging sources ensures you aren’t considering just one perspective in your analysis. Performance Monitoring Data aggregation facilitates you in monitoring key performance indicators (KPIs) more effectively.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52

Astera

JANUARY 2, 2024

Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place. But what exactly is data management? What Is Data Management? As businesses evolve, so does their data.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Sisense

JULY 6, 2020

This is why dealing with data should be your top priority if you want your company to digitally transform in a meaningful way, truly become data-driven, and find ways to monetize its data. Employing Enterprise Data Management (EDM). What is enterprise data management?

Data Management 98

Data Management Data Architecture Data Governance Government 98

Astera

MARCH 28, 2024

So, organizations create a data governance strategy for managing their data, and an important part of this strategy is building a data catalog. They enable organizations to efficiently manage data by facilitating discovery, lineage tracking, and governance enforcement.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Astera

APRIL 3, 2024

As important as it is to know what a data quality framework is, it’s equally important to understand what it isn’t: It’s not a standalone concept—the framework integrates with data governance, security, and integration practices to create a holistic data ecosystem. Why do you need a data quality framework?

Data Quality 52

Data Quality Data Governance Government Monitoring 52

Astera

FEBRUARY 9, 2024

Enhancing data governance and customer insights. According to a study by SAS , only 35% of organizations have a well-established data governance framework, and only 24% have a single, integrated view of customer data. Once the workflow is established, you must monitor the pipeline.

IBM Support 52

IBM Support Data Quality IBM Maintenance Data Governance 52

Astera

FEBRUARY 27, 2024

It provides a single source of truth, ensuring that users access the same and latest version of the data. It also simplifies data management and maintenance, reducing the risk of errors and conflicts. It is a valuable tool for managing and tracking changes and impacts.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

FEBRUARY 27, 2024

It provides a single source of truth, ensuring that users access the same and latest version of the data. It also simplifies data management and maintenance, reducing the risk of errors and conflicts. It is a valuable tool for managing and tracking changes and impacts.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

AUGUST 8, 2023

The drag-and-drop, user-friendly interface allows both technical and non-technical users to leverage Astera solutions to carry out complex data-related tasks in minutes, improving efficiency and performance. 2. Talend Talend is another data quality solution designed to enhance data management processes.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Astera

JANUARY 15, 2024

Astera streamlines data integration with a fully no-code approach, empowering business users to execute their data management tasks easily – while saving considerable resources. Plus, Astera provides no-code unstructured data management, data warehouse building, and API management capabilities.

Real-time Data 52

Real-time Data Data Warehouse Data Quality Visualization 52

Astera

OCTOBER 10, 2023

Managing data effectively is a multi-layered activity—you must carefully locate it, consolidate it, and clean it to make it usable. One of the first steps in the data management cycle is data mapping. Data mapping is the process of defining how data elements in one system or format correspond to those in another.

IBM Maintenance 52

IBM Maintenance IBM Support IBM cost Data Quality 52

Business Analysis Knowledge Share

OCTOBER 24, 2023

This article aims to provide a comprehensive overview of Data Warehousing, breaking down key concepts that every Business Analyst should know. Introduction As businesses generate and accumulate vast amounts of data, the need for efficient data management and analysis becomes paramount.

IBM Maintenance 73

IBM Maintenance Data Warehouse IBM cost Data Quality 73

Astera

APRIL 24, 2024

Real-Time Data Streaming Tools : These tools ingest data continuously as it appears, making it available for immediate analysis. They are ideal for scenarios where timely data is critical, like financial trading or online services monitoring. How to Choose the Right Data Ingestion Platform?

Data Warehouse 52

Data Warehouse Real-time Data Documentation Data Quality 52

Astera

JANUARY 1, 2024

Free Download Data Governance and Data Quality When it comes to managing your data, two crucial aspects to keep in mind are data governance and data quality. Think of data governance as the rulebook for data management. But how do we measure data quality?

Data Quality 52

Data Quality Data Governance Government Data Warehouse 52

Astera

JANUARY 1, 2024

Free Download Data Governance and Data Quality When it comes to managing your data, two crucial aspects to keep in mind are data governance and data quality. Think of data governance as the rulebook for data management. But how do we measure data quality?

Data Quality 52

Data Quality Data Governance Government Data Warehouse 52

Astera

NOVEMBER 28, 2023

Importance of Data Pipelines Data pipelines are essential for the smooth, automated, and reliable management of data throughout its lifecycle. They enable organizations to derive maximum value from their data assets. Real-time Ingestion: In this method, data is processed immediately as it arrives.

Data Warehouse 52

Data Warehouse Monitoring Data Security Healthcare 52

Smart Data Collective

AUGUST 14, 2019

By definition, big data in health IT applies to electronic datasets so vast and complex that they are nearly impossible to capture, manage, and process with common data management methods or traditional software/hardware. Big data analytics: solutions to the industry challenges.

Healthcare 196

Healthcare Big Data Data Analytics Data Analytics 196