Confluent

JANUARY 22, 2024

The new fully managed BigQuery Sink V2 connector for Confluent Cloud offers streamlined data ingestion and cost-efficiency. Learn about the Google-recommended Storage Write API and OAuth 2.0 support.

Cloud 76

Cloud Data Storage 76

Confluent

SEPTEMBER 26, 2019

It enables easy, scalable, and reliable integration with all sources and sinks, as can seen through real-time Twitter feeds in our upcoming example. Kafka Connect acts as sink to consume the data in real time and ingest it into Rockset. In the most critical use cases, every seconds counts. The ingested data is stored in a Kafka topic.

Analytics 21

Analytics Serverless Blockchain Microservices 21

Altexsoft

OCTOBER 21, 2022

The tool standardizes work with connectors — programs that enable external systems to import data to Kafka (source connectors) or export it from the platform (sink connectors). There are hundreds of ready-to-use connector plugins maintained by community or service providers. You can find off-the-shelf links for.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Confluent

JULY 3, 2019

In order to achieve our targets, we’ll use pre-built connectors available in Confluent Hub to source data from RSS and Twitter feeds, KSQL to apply the necessary transformations and analytics, Google’s Natural Language API for sentiment scoring, Google BigQuery for data storage, and Google Data Studio for visual analytics.

Analysis 21

Analysis Data Sport Windows 21

Confluent

SEPTEMBER 20, 2019

BigQuery, Amazon Redshift, and MongoDB Atlas) and caches (e.g., The appropriate implementation would be to use a connector running on Kafka Connect. The connector then periodically fetches records from topic partitions and writes them into the S3 bucket. Here are the tasks for this implementation: Figure 7. This is no easy task.

Software Review 21

Software Review Technical Review Storage Cloud 21