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How Rockset Enables SQL-Based Rollups for Streaming Data

Rockset

A Quick Primer on Indexing in Rockset Rockset allows users to connect real-time data sources — data streams (Kafka, Kinesis), OLTP databases (DynamoDB, MongoDB, MySQL, PostgreSQL) and also data lakes (S3, GCS) — using built-in connectors. You can also optionally use WHERE clauses to filter out data.

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Data Pipeline- Definition, Architecture, Examples, and Use Cases

ProjectPro

However, you can also pull data from centralized data sources like data warehouses to transform data further and build ETL pipelines for training and evaluating AI agents. Processing: It is a data pipeline component that decides the data flow implementation.

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Most important Data Engineering Concepts and Tools for Data Scientists

DareData

Our goal is to help data scientists better manage their models deployments or work more effectively with their data engineering counterparts, ensuring their models are deployed and maintained in a robust and reliable way. DigDag: An open-source orchestrator for data engineering workflows.

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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

Aggregator-Leaf-Tailer architecture used by Rockset In the following sections, we examine how some of these architectural differences impact the capabilities of Rockset and ClickHouse. This means users need to configure their streams to batch data ahead of loading into ClickHouse.

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Sqoop vs. Flume Battle of the Hadoop ETL tools

ProjectPro

Apache Hadoop is synonymous with big data for its cost-effectiveness and its attribute of scalability for processing petabytes of data. Data analysis using hadoop is just half the battle won. Getting data into the Hadoop cluster plays a critical role in any big data deployment. then you are on the right page.

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Handling Out-of-Order Data in Real-Time Analytics Applications

Rockset

Companies that were previously locked out of BEP and CEP began to harvest website user clickstreams, IoT sensor data, cybersecurity and fraud data, and more. Companies also started appending additional related time-stamped data to existing datasets, a process called data enrichment.