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Build AI-powered Recommendations with Confluent Cloud for Apache FlinkĀ® and Rockset

Rockset

Today, Confluent announced the general availability of its serverless Apache Flink service. Rockset customers using Flink often share how challenging it is to self-manage Flink for streaming transformations. Rockset customers using Flink often share how challenging it is to self-manage Flink for streaming transformations.

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Redefining Search and Analytics for the AI Era

Rockset

We founded Rockset to empower everyone from Fortune 500 to a five-person startup to build powerful search and AI applications and scale them efficiently in the cloud. How to onboard more developers fast and increase development speed. Developments in AI are happening at light speed.

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8 Data Ingestion Tools (Quick Reference Guide)

Monte Carlo

Thereā€™s the dichotomy between batch and streaming, between all-in-one platforms and niche connectors in your modern data stack, and the trade-off between ease-of-use and powerful customization options. Streaming Assess if your data processing leans towards real-time analytics or if batch processing suffices for your use case.

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Three Reference Architectures for Real-Time Analytics On Streaming Data

Rockset

Weā€™ve noticed many common patterns across streaming data architectures and weā€™ll be sharing a blueprint for three of the most popular: anomaly detection, IoT, and recommendations. Our examples will all feature Rockset, but you can swap it out for other RTA databases, with a few use-case-specific caveats.

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The Good and the Bad of Apache Kafka Streaming Platform

AltexSoft

In this article, weā€™ll explain why businesses choose Kafka and what problems they face when using it. As Jay Kreps , the original author of the streaming solution, put it, ā€œ I thought that since Kafka was a system optimized for writing, using a writerā€™s name would make sense. What Kafka is used for. What is Kafka?

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What is Real-time Data Ingestion? Use cases, Tools, Infrastructure

Knowledge Hut

By doing so, organizations can offer personalized offers, recommendations, and services, fostering stronger customer relationships and resolving issues promptly. Data-driven Innovations: Due to a continuous stream of data that can be used for product development and innovation.

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Monitoring Data Replication in Multi-Datacenter Apache Kafka Deployments

Confluent

Enterprises run modern data systems and services across multiple cloud providers, private clouds and on-prem multi-datacenter deployments. Instead of having many point-to-point connections between sites, the Confluent Platform provides an integrated event streaming architecture with frictionless data replication between sites.

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