Astera

JANUARY 12, 2024

It was developed by Dan Linstedt and has gained popularity as a method for building scalable, adaptable, and maintainable data warehouses. Self-Serve Data Infrastructure as a Platform: A shared data infrastructure empowers users to independently discover, access, and process data, reducing reliance on data engineering teams.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Astera

OCTOBER 12, 2023

Top 7 Data Validation Tools Astera Informatica Talend Datameer Alteryx Data Ladder Ataccama One 1. Astera Astera is an enterprise-grade, unified data management solution with advanced data validation features. Convert the data formats and values into a common format.

Data Quality 52

Data Quality Monitoring Real-time Data Government 52

Astera

AUGUST 15, 2024

It’s also more contextual than general data orchestration since it’s tied to the operational logic at the core of a specific pipeline. Since data pipeline orchestration executes an interconnected chain of events in a specific sequence, it caters to the unique data requirements a pipeline is designed to fulfill.

Data Quality 52

Data Quality Monitoring Artificial Intelligence Government 52

Astera

NOVEMBER 1, 2023

Data Integration: A data warehouse enables seamless integration of data from various systems and eliminates data silos and promotes interoperability and overall performance. Data-driven Finance with Astera Download Now Who Can Benefit from a Finance Data Warehouse?

Data Warehouse 52

Data Warehouse Finance Data Quality Banking 52

Astera

SEPTEMBER 4, 2024

Unified data governance Even with decentralized data ownership, the data mesh approach emphasizes the need for federated data governance , helping you implement shared standards, policies, and protocols across all your decentralized data domains. That’s where Astera comes in.

Data Architecture 52

Data Architecture Data Governance Government Data Discovery 52

Astera

SEPTEMBER 20, 2023

Data Movement Data movement from source to destination, with minimal transformation. Data movement involves data transformation, cleansing, formatting, and standardization. Data Quality Consideration Emphasis is on data availability rather than extensive data quality checks.

Data Warehouse 52

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

Astera

SEPTEMBER 20, 2023

Data Movement Data movement from source to destination, with minimal transformation. Data movement involves data transformation, cleansing, formatting, and standardization. Data Quality Consideration Emphasis is on data availability rather than extensive data quality checks.

Data Warehouse 52

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

Astera

JANUARY 2, 2024

Securing Data: Protecting data from unauthorized access or loss is a critical aspect of data management which involves implementing security measures such as encryption, access controls, and regular audits. Organizations must also establish policies and procedures to ensure data quality and compliance.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

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. Adaptability is another important requirement.

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

Astera

JULY 3, 2024

Scalability considerations are essential to accommodate growing data volumes and changing business needs. Data Modeling Data modeling is a technique for creating detailed representations of an organization’s data requirements and relationships.

Data Architecture 40

Data Architecture Data Warehouse Data Governance Government 40

Netmind

MARCH 9, 2021

Data Management. A good data management strategy includes defining the processes for data definition, collection, analysis, and usage, including data quality assurance (and privacy), and the levels of accountability and collaboration throughout the process. How do we ensure good data governance?

Data Governance 52

Data Governance Government Data Requirement Vision 52

Netmind

NOVEMBER 1, 2020

Data Management. A good data management strategy includes defining the processes for data definition, collection, analysis, and usage, including data quality assurance (and privacy), and the levels of accountability and collaboration throughout the process. How do we ensure good data governance?

Data Governance 52

Data Governance Government Data Requirement Vision 52

Astera

MAY 26, 2023

On average, it took the retailer 15 days (about 2 weeks) to process the invoices—from data extraction to payment. Consequently, the inefficient process was time-consuming and error-prone, causing delays in account payables, data quality discrepancies, and supply-chain disruptions.

Retail 40

Retail Supply Chain Finance Data Quality 40

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 fact that the cloud data warehouse market is expected to reach  $3.5 We've got both!

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Astera

MAY 4, 2023

This, in turn, enables businesses to automate the time-consuming task of manual data entry and processing, unlocking data for business intelligence and analytics initiatives. However , a Forbes study revealed up to 84% of data can be unreliable. Luckily, AI- enabled data prep can improve data quality in several ways.

Business Intelligence 40

Business Intelligence Business Intelligence Predictive Analytics Supply Chain 40

Astera

DECEMBER 21, 2022

The fact that the cloud data warehousing market is expected to reach $3.5 billion by 2025 should serve as enough proof that traditional data warehouses have been unable to provide organizations with the speed, scalability, and agility they are looking for.

Data Warehouse 52

Data Warehouse Supply Chain Business Intelligence Business Intelligence 52

Astera

APRIL 29, 2024

The tool has an intuitive interface with drag-and-drop features that simplifies complex data integration tasks. This no-code approach simplifies the integration and curation of data, speeding up the process and enhancing data quality by consistently identifying anomalies and patterns.

Big Data 52

Big Data Retail Healthcare Data Quality 52

Insight Software

MARCH 4, 2024

What types of existing IT systems are commonly used to store data required for ESRS disclosures? Data required for ESRS disclosure can be stored across various existing IT systems, depending on the nature and source of the information. What is the best way to collect the data required for CSRD disclosure?

IBM Support 52

IBM Support IBM Maintenance Supply Chain IBM cost 52