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Data Quality Tools: Top 8 for 2023 & Beyond

Astera

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. You can visualize and explore data intuitively for accuracy and consistency.

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10 Best Informatica Alternatives & Competitors in 2024

Astera

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. What Is Informatica?

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10 Best Informatica Alternatives & Competitors in 2024

Astera

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. What Is Informatica?

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Automated Financial Data Integration for Fraud Detection | Astera

Astera

According to a survey by Experian , 95% of organizations see negative impacts from poor data quality, such as increased costs, lower efficiency, and reduced customer satisfaction. According to a report by IBM , poor data quality costs the US economy $3.1 Enhancing data governance and customer insights.

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Skills and Tools Every Data Engineer Needs to Tackle Big Data

Sisense

With most enterprise companies migrating to the cloud, having the knowledge of both these data warehouse platforms is a must. Get up to speed with these courses from Cloud Academy : AWS : Amazon Web Services training library from CloudAcademy has over 300 learning paths, courses, and quizzes to get you started and certified.

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Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

Data Pine

4) Big Data: Principles and Best Practices Of Scalable Real-Time Data Systems by Nathan Marz and James Warren. Best for: For readers that want to learn the theory of big data systems, how to implement them in practice, and how to deploy and operate them once they’re built. The author, Anil Maheshwari, Ph.D.,

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Maximizing Return on Your SAP Investment with Process Runner

Insight Software

The cloud migration wave presents both opportunities and complexities, demanding seamless data movement between SAP and cloud-based applications. Additionally, the growing appetite for real-time data insights necessitates breaking down data silos and achieving seamless integration with diverse sources.