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Moving to the cloud? Choose cloud service providers wisely

Analysts Corner

Expanding on these research findings, Gartner’s Sid Nag noted that cloud technology is what powers modern digital organizations, and those who effectively combine it with other emerging technologies will be more successful in implementing their digital transformation efforts. Whereas, the maintenance efforts are on the side of a space owner.

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Build Data Warehouse with Concentrated Teams

Astera

Enterprises will soon be responsible for creating and managing 60% of the global data. Traditional data warehouse architectures struggle to keep up with the ever-evolving data requirements, so enterprises are adopting a more sustainable approach to data warehousing. Data Warehouse Automation. .

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How to Build a Data Governance Strategy for Your Organization

Astera

This strategic approach to data governance aligns with findings from a McKinsey survey , suggesting that companies with solid data governance strategies are twice as likely to prioritize important data — leading to better decision-making and organizational success. What is a Data Governance Strategy?

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Key Differences Between REST vs gRPC: Which One to Use? And When?

Marutitech

Stateless: The server doesn’t save the data pertaining to the client request, whereas the client saves this “state data” via a cache. . Layered: The layered architecture allows the maintenance of different components on other servers. . Slower Implementation than REST. Understanding RPC API. .”

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Should You Have Separate Document, Time-Series, NoSQL and SQL Databases or Can a Single Database Support All of These Data Types and Requirements?

Actian

This challenge stems from a rather large “data-type mismatch” as well as how and where data has been incorporated into applications and business process. At one time, data was largely transactional and Online Transactional Processing (OLTP) and Enterprise resource planning (ERP) systems handled it inline, and it was heavily structured.

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How Automated Financial Data Integration Streamlines Fraud Detection

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 You can choose the load mode depending on the data volume and frequency.

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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 You can choose the load mode depending on the data volume and frequency.