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Use real-time data to achieve better business optimization. Here’s how.

Actian

Companies have learned a lot about how to eliminate waste, achieve consistency and empower employees to proactively solve issues, but all these efforts have been constrained by the availability of real-time data for decision making. The challenge with each of these approaches is the timeliness of data for making decisions.

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What is Zero ETL? Components, Benefits How Does it Work

Astera

This process also eradicates the need for intermediate data storage in a staging area. So, let’s dig further and see how zero-ETL works and how i t can b e beneficial in certain data management use cases. Adopting real-time data streaming technologies can also minimize the latency associated with data processing.

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Great Benefits of Leveraging Big Data in Investing

Smart Data Collective

Successful investors find suitable assets like post pandemic dividends and monitor their stocks. It is essential for value investors, who want to predict their future income or deploy high-frequency strategies, to capture broad, real-time data. That is why investors can forecast long-term trends using big data.

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Top 6 Mulesoft Alternatives & Competitors in 2024

Astera

Mulesoft and Its Key Features MuleSoft provides a unified integration platform for connecting applications, data, and devices on-premises and in the cloud. Built on Java, its Anypoint Platform acts as a comprehensive solution for API management, design, monitoring, and analytics. Key Features: Drag-and-drop user interface.

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The Best Data Pipeline Tools List for 2023 

Astera

Real-time pipelines enable immediate analysis and response to emerging trends, anomalies, or events, making them critical for applications like fraud detection, real-time analytics, and monitoring systems. Monitoring and Alerting: Check if the tool provides comprehensive monitoring and alerting features.

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What Is Change Data Capture (CDC): Methods, Benefits, and Challenges

Astera

What is Change Data Capture? Change Data Capture (CDC) is a technique used in data management to identify and track changes made to data in a database, and applying those changes to the target system. Delivery : After data storage, there may be a need to deliver this information to downstream systems.

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Global Hospitals Embark On A Worldwide Medical Data Initiative

Smart Data Collective

Big data will have an even more profound impact in the near future. More than 15,000 hospitals around the world collect real-time data on their patients. This data includes demographic profiles, clinical history, and drugs used. Most of this data is still unprocessed.