Aggregated Data, Cloud Storage, Data Ingestion and Demo

A Breakthrough Architecture for Real-Time Analytics- An Overview of Compute-Compute Separation in Rockset

Rockset

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Developers can spin up or down virtual instances based on the performance requirements of their streaming ingest or query workloads. In addition, Rockset provides fast data access through the use of more performant hot storage, while cloud storage is used for durability.

Architecture

Architecture AWS SQL Cloud Storage

Machine Learning with Python, Jupyter, KSQL and TensorFlow

Confluent

FEBRUARY 6, 2019

It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way. This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers.

Machine Learning

Machine Learning Python Kafka Java

Data Engineering Digest

A Breakthrough Architecture for Real-Time Analytics- An Overview of Compute-Compute Separation in Rockset

Machine Learning with Python, Jupyter, KSQL and TensorFlow

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