Striim

MARCH 21, 2025

Today were going to talk about five streaming cloud integration use cases. Streaming cloud integration moves data continuously in real time between heterogeneous databases, with in-flight data processing. Read on, or watch the 9-minute video: Lets focus on how to use streaming data integration in cloud initiatives, and the five common scenarios that we see.

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Cloud Database Architecture BI 52

KDnuggets

MARCH 21, 2025

Learn how to integrate the Claude 3.7 model into the Msty application and VSCode as the AI assistant you need for your workspace.

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Striim

MARCH 21, 2025

Business transactions captured in relational databases are critical to understanding the state of business operations. Since the value of data quickly drops over time, organizations need a way to analyze data as it is generated. To avoid disruptions to operational databases, companies typically replicate data to data warehouses for analysis. Time-sensitive data replication is also a major consideration in cloud migrations, where data is continuously changing and shutting down the applications th

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IT Data Lake Data Warehouse Relational Database 52

WeCloudData

MARCH 21, 2025

The emergence of Artificial Intelligence (AI) has revolutionized the healthcare sector. Key applications include disease diagnosis and drug discovery. Computer Vision (CV) is one of the growing modern AI technologies. Computer vision in healthcare applications are vast and growing, from detecting cancerous tumors to assisting in robotic surgeries. Lets learn more about the power of […] The post Computer vision in Healthcare and Diagnostic appeared first on WeCloudData.

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In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate

Data Pipeline

Striim

MARCH 21, 2025

If you have Snowflake or are considering it, now is the time to think about your ETL for Snowflake. This blog post describes the advantages of real-time ETL and how it increases the value gained from Snowflake implementations. With instant elasticity, high-performance, and secure data sharing across multiple clouds , Snowflake has become highly in-demand for its cloud-based data warehouse offering.

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databricks

MARCH 21, 2025

Databricks Apps provide a robust platform for building and hosting interactive applications. React is great for building modern, dynamic web applications that need to update.

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Building Manufacturing 80

ThoughtSpot

MARCH 21, 2025

At ThoughtSpot, our mission has always been to empower every decision-maker with instant insights that fuel smarter, faster decisions. Recently, we announced the launch of Spotter, our AI Analyst, which brings AI-powered insights to every user, on any question, and any dataset. This is ThoughtSpot's answer to a growing market of AI agents , and its our vision to make AI the new BI.

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Striim

MARCH 21, 2025

What is Real-Time Stream Processing? In today’s fast-moving world, companies need to glean insights from data as soon as it’s generated. Perishable, real-time insights help companies improve customer experience, manage risks and SLAs effectively, and improve operational efficiencies in their organizations. To access real-time data, organizations are turning to stream processing.

Process 52

Process Data Warehouse Kafka Data Pipeline 52

databricks

MARCH 21, 2025

Driving Sustainable Aluminum Production: How to Calculate the Material Recovery Ratio with GraphFrames Sustainable production has become an imperative in todays manufacturing market. According to.

Manufacturing 52

Manufacturing 52

Cloudyard

MARCH 21, 2025

Read Time: 3 Minute, 6 Second Snowflake provides tasks a powerful way to schedule and automate SQL operations. However, when workflows grow complex, a single-task approach is not enough. Enter task graphs , a feature that allows us to define dependencies, sequence executions, and optimize performance across multiple tasks. This blog explores the significance of Snowflake task graphs , how to define dependencies between tasks, and the advantages of having multiple parent tasks leading to a final

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Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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