Rockset

AUGUST 28, 2023

Use case 1: Sending automated alerts Often times, there are requirements to deliver automated alerts throughout the day with results of SQL queries. Here we track every click to every product in our webshop, and then ingest this data into Rockset via Confluent Cloud. Check out how Rockset automatically handles upserts here.

AWS 52

AWS SQL Datasets Metadata 52

Monte Carlo

JANUARY 16, 2024

In this blog post, we’ll look at six innovations that are shaping the future of the data warehousing, as well as challenges and considerations that organizations should keep in mind. Table of Contents 1. Integration of ML models and AI capabilities 6. Data lake and data warehouse convergence 2. Zero-copy data sharing 4.

Data Lake 52

Data Lake Data Warehouse Unstructured Data AWS 52

Confluent

MAY 29, 2019

In part 1 , we discussed an event streaming architecture that we implemented for a customer using Apache Kafka ® , KSQL from Confluent, and Kafka Streams. We selected Gradle as our build tool, and wrote a custom Gradle plugin called gradle-confluent to structure and enable this methodology. gradlew composeUp.

Kafka 94

Kafka Management Bytes SQL 94

Picnic Engineering

SEPTEMBER 8, 2022

We continue our story on the Analytics Platform setup in Picnic. In the “Picnic Analytics Platform: Migration from AWS Kinesis to Confluent Cloud” we described why and how we migrated from AWS Kinesis to Confluent Cloud. Our pipeline captures these events and sends them to Confluent Cloud.

Kafka 52

Kafka Metadata AWS Java 52

Confluent

MAY 30, 2019

Following part 1 and part 2 of the Spring for Apache Kafka Deep Dive blog series, here in part 3 we will discuss another project from the Spring team: Spring Cloud Data Flow , which focuses on enabling developers to easily develop, deploy, and orchestrate event streaming pipelines based on Apache Kafka ®. Command Line Shell.

Kafka 93

Kafka Cloud Data Pipeline PostgreSQL 93

Confluent

FEBRUARY 27, 2019

This is important as each platform has different persistence models and APIs, tying you to that vendor’s ecosystem. You can read more about CloudEvents in part 1 of this blog series. Peeking Behind the Curtains of Serverless Platforms, 2018. Sync payload limit = 6 MB. Event-first FaaS.

Kafka 109

Kafka AWS Architecture Cloud 109

Confluent

SEPTEMBER 20, 2019

Luckily for on-premises scenarios, a myriad of deployment options are available, such as the Confluent Platform which can be deployed on bare metal, virtual machines, containers, etc. Cloud Memorystore, Amazon ElastiCache, and Azure Cache), applying this concept to a distributed streaming platform is fairly new.

Kafka 21

Kafka Management Cloud AWS 21