Astera

JANUARY 1, 2024

What Is Data Quality? Data quality is the measure of data health across several dimensions, such as accuracy, completeness, consistency, reliability, etc. In short, the quality of your data directly impacts the effectiveness of your decisions.

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Astera

MAY 2, 2024

57% of organizations with data governance programs notice better quality in their data analytics, and 60% see improvements in the actual data they use. Given these significant benefits, many businesses have implemented data governance practices to gather, store, and process data. Wrapping Up!

Data Governance 52

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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. Data governance manages the formal data assets of an organization.

Data Governance 52

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Astera

JUNE 6, 2024

Data governance is the framework of policies, procedures, and roles responsible for ensuring data quality, security, and compliance within an organization. With proper data governance, organizations can use their data to make informed decisions and minimize non-compliance risks. Start a Free Trial

Data Governance 40

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Dataversity

NOVEMBER 11, 2022

Until fairly recently, I was considered somewhat of a data privacy watchdog by my family and friends. I have all my privacy settings set to the max, I don’t download shady apps, no matter how popular they may be, and I am mistrustful of most requests for my personal data. But my behavior was the […].

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Astera

DECEMBER 9, 2024

Data Governance is a systematic approach to managing and utilizing an organizations data. It ensures data quality, security, and accessibility for informed decision-making. However, managing, analyzing, and governing the data is a complex process.

Data Warehouse 52

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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.

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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. Data breaches and regulatory compliance are also growing concerns.

Data Management 52

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Astera

JUNE 28, 2023

Within the intricate fabric of governance, where legal documents shape the very core of decision-making, a transformative solution has emerged: automated legal document extraction. This cutting-edge technology empowers governing bodies to navigate the complex maze of legal information with precision, efficiency, and unwavering accuracy.

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Astera

JANUARY 2, 2024

Craft an Effective Data Management Strategy A robust data management strategy is a prerequisite to ensuring the seamless and secure handling of information across the organization. Download this whitepaper a roadmap to create an end-to-end data management strategy for your business.

Data Management 52

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Data Pine

MAY 31, 2022

Exclusive Bonus Content: Download our free cloud computing tips! These tools also help optimize the cloud for cost, governance, and security. Governance/Control. This has increased the difficulty for IT to provide the governance, compliance, risks, and data quality management required. Compliance.

Cloud Computing 95

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Astera

MAY 25, 2023

That’s how it can feel when trying to grapple with the complexity of managing data on the cloud-native Snowflake platform. They range from managing data quality and ensuring data security to managing costs, improving performance, and ensuring the platform can meet future needs. So, let’s get started!

Data Quality 52

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Astera

JULY 12, 2024

This catalog serves as a comprehensive inventory, documenting the metadata, location, accessibility, and usage guidelines of data resources. The primary purpose of a resource catalog is to facilitate efficient data discovery, governance , and utilization.

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Astera

APRIL 10, 2023

Improved Business Insights: By combining data from multiple sources, businesses can gain deeper insights into their operations, enabling them to identify trends, opportunities, and potential risks. Interested in Learning More About Cloud Data Integration? It provides a unified view of data and enables informed decision-making.

Big Data 52

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Astera

JUNE 4, 2024

Lineage Tracking to Understand Data Origin and Flow A data catalog tracks the origin of each data set, its transformations, and its flow throughout various systems. This feature is valuable for understanding data dependencies and ensuring data quality across the entire data lifecycle.

Data Governance 52

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Astera

JANUARY 18, 2024

Get data extraction, transformation, integration, warehousing, and API and EDI management with a single platform. Talend is a data integration solution that focuses on data quality to deliver reliable data for business intelligence (BI) and analytics. Download a 14-day free trial to get started.

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Astera

JANUARY 18, 2024

Download Trial Fivetran Limitations While Fivetran is a viable tool for basic ELT projects, it does come with some limitations when it comes to broader data integration projects, especially in large enterprises. It also offers limited data transformation capabilities and that too through dbt core, which is an open source tool.

Data Warehouse 52

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Astera

NOVEMBER 27, 2023

Clean and accurate data is the foundation of an organization’s decision-making processes. However, studies reveal that only 3% of the data in an organization meets basic data quality standards, making it necessary to prepare data effectively before analysis. This is where data profiling comes into play.

Data Mining 52

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Astera

FEBRUARY 16, 2024

It facilitates the seamless collection, consolidation, and transformation of data from diverse sources and systems into a unified and standardized format. The advantages of this integration extend beyond mere organization; it significantly improves data quality and accuracy.

Finance 52

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Astera

OCTOBER 12, 2023

million to the US government when their lack of proper screening mechanisms led to 500 PayPal transactions worth $44,000, violating sanctions against Iran, Cuba, and Sudan. The platform also allows you to implement rigorous data validation checks and customize rules based on your specific requirements. In 2015, PayPal had to pay $7.7

Data Quality 52

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Astera

APRIL 7, 2023

Enterprise Data Architecture (EDA) is an extensive framework that defines how enterprises should organize, integrate, and store their data assets to achieve their business goals. At an enterprise level, an effective enterprise data architecture helps in standardizing the data management processes.

Data Architecture 52

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Astera

APRIL 7, 2023

Enterprise Data Architecture (EDA) is an extensive framework that defines how enterprises should organize, integrate, and store their data assets to achieve their business goals. At an enterprise level, an effective enterprise data architecture helps in standardizing the data management processes.

Data Architecture 52

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Astera

DECEMBER 28, 2023

Informatica, one of the key players in the data integration space, offers a comprehensive suite of tools for data management and governance. In this article, we are going to explore the top 10 Informatica alternatives so you can select the best data integration solution for your organization.

IBM cost 52

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Astera

DECEMBER 28, 2023

Informatica, one of the key players in the data integration space, offers a comprehensive suite of tools for data management and governance. In this article, we are going to explore the top 10 Informatica alternatives so you can select the best data integration solution for your organization.

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Warehouse 52

Astera

MARCH 30, 2023

Data sharing also enables better, informed decisions by providing access to data collected by various business functions such as operations, customer success, marketing, etc. Moreover, data sharing leads to better data governance by centralizing their data and ensuring that it is consistent, accurate, and updated.

Data Quality 52

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Astera

MAY 14, 2024

This metadata variation ensures proper data interpretation by software programs. Process metadata: tracks data handling steps. It ensures data quality and reproducibility by documenting how the data was derived and transformed, including its origin. Data is only valuable if it is reliable.

Government 52

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Astera

OCTOBER 10, 2023

Data mapping is the process of defining how data elements in one system or format correspond to those in another. Data mapping tools have emerged as a powerful solution to help organizations make sense of their data, facilitating data integration , improving data quality, and enhancing decision-making processes.

IBM Maintenance 52

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Astera

NOVEMBER 16, 2022

Understand and assess potential data quality challenges in a hybrid cloud environment. Implement proper data validation rules and policies to ensure data accuracy and completeness. Evaluate the location of your data. Automation will help you save time and costs as well as undertake big data initiatives.

Data Architecture 52

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Astera

MAY 25, 2023

In summary, data reliability is essential for any organization that depends on data to shape key business decisions and strategies. By prioritizing data quality and reliability, data can be transformed into a true business asset that drives growth and success. It achieves this through its data quality features.

Data Quality 52

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Astera

MAY 14, 2024

, “Who created the data?” Data Provenance is vital in establishing data lineage, which is essential for validating, debugging, auditing, and evaluating data quality and determining data reliability. Data provenance is what adds depth to this trail. and “Why was it created?

Supply Chain 52

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Astera

DECEMBER 28, 2023

Data Quality Astera offers comprehensive data quality features embedded into its platform. Together, they ensure data accuracy, reliability, and completeness. Being an ELT-based platform, Fivetran does not provide any dedicated data quality features. Instead, it relies on external services.

Data Warehouse 52

Data Warehouse Data Quality Documentation Data Management 52

Astera

DECEMBER 28, 2023

Data Quality Astera offers comprehensive data quality features embedded into its platform. Together, they ensure data accuracy, reliability, and completeness. Being an ELT-based platform, Fivetran does not provide any dedicated data quality features. Instead, it relies on external services.

Data Warehouse 52

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Astera

AUGUST 27, 2024

It’s also used extensively by trade unions, insurance agencies, and government agencies to enroll their members. These payers can include insurance providers, government agencies, or health maintenance organizations. Support for EDI parsing enables healthcare facilities to leverage the data contained within EDI documents.

Healthcare 52

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Astera

DECEMBER 22, 2022

Online data warehouses offer many benefits, such as connectivity to multiple unstructured data sources, faster analysis, and smoother disaster recovery. A robust data integration tool simplifies connecting to cloud storage. Challenge # 2: Accessing Siloed Data. Download Your Free Ebook.

Data Quality 52

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Astera

OCTOBER 27, 2023

The “cloud” part means that instead of managing physical servers and infrastructure, everything happens in the cloud environment—offsite servers take care of the heavy lifting, and you can access your data and analytics tools over the internet without the need for downloading or setting up any software or applications.

Data Warehouse 52

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Astera

JUNE 3, 2024

Instantly connect to and move data between your databases Download 14-day free trial What are the benefits of using a database? Sharding involves dividing data into smaller parts (shards) that are distributed across several servers to improve processing speed for large data sets. Ready to try Astera?

Data Warehouse 52

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Astera

NOVEMBER 30, 2023

The technology: Struggled to adapt to changing data types. Couldn’t handle vast volumes of data. Lacked real-time data processing capabilities. Didn’t align well with current technology or data governance requirements. Data Vault 2.0 Business-Centric Focus: Data Vault 2.0

Data Warehouse 52

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