Remove Aggregated Data Remove Data Ingestion Remove Data Preparation Remove SQL
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How Rockset Enables SQL-Based Rollups for Streaming Data

Rockset

It eliminates the cost and complexity around data preparation, performance tuning and operations, helping to accelerate the movement from batch to real-time analytics. The latest Rockset release, SQL-based rollups, has made real-time analytics on streaming data a lot more affordable and accessible. SQL-Based Rollups Are

SQL 52
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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

Data Engineering Project for Beginners If you are a newbie in data engineering and are interested in exploring real-world data engineering projects, check out the list of data engineering project examples below. This big data project discusses IoT architecture with a sample use case.

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Comparing ClickHouse vs Rockset for Event and CDC Streams

Rockset

They possess distributed architectures that allow for scalability to handle performance or data volume requirements. Both offer SQL support and are capable of ingesting streaming data from Kafka. In contrast, there is no recommendation to denormalize data in Rockset, as Rockset can handle JOINs well.

MySQL 52
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AWS Glue-Unleashing the Power of Serverless ETL Effortlessly

ProjectPro

This serverless data integration service can automatically and quickly discover structured or unstructured enterprise data when stored in data lakes in Amazon S3, data warehouses in Amazon Redshift, and other databases that are a component of the Amazon Relational Database Service.

AWS 98
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20 Best Open Source Big Data Projects to Contribute on GitHub

ProjectPro

In addition to analytics and data science, RAPIDS focuses on everyday data preparation tasks. With SQL, machine learning, real-time data streaming, graph processing, and other features, this leads to incredibly rapid big data processing. It comes with programming interfaces for entire clusters.