article thumbnail

VAST Data Adds Blocks to Unified Storage Platform

insideBIGDATA

VAST also added the VAST Event Broker, an Apache Kafka-compatible event streaming service for real-time data ingestion and […]

article thumbnail

A Data Scientist’s Guide to Data Streaming

Flipboard

Well explain what it is, why it matters, and how to use tools like Apache Kafka, Apache Flink, and PyFlink to build real-time pipelines. This guide introduces data streaming from a data science perspective.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Stream processing

Dataconomy

It efficiently manages real-time data transformations and analytics, commonly using tools like Apache Kafka. Stream processing frameworks Several frameworks support effective stream processing, allowing organizations to utilize their capabilities efficiently: Apache Spark Streaming: Facilitates real-time data processing using Spark.

article thumbnail

Complex Event Processing (CEP)

Dataconomy

Apache Flink: A powerful open-source framework for distributed stream processing with an emphasis on event-driven applications. Apache Kafka: Vital for creating real-time data pipelines and streaming applications. StreamAnalytix: A user-friendly interface that allows for intuitive application management across various domains.

article thumbnail

Democratize data for timely decisions with text-to-SQL at Parcel Perform

AWS Machine Learning Blog

Parcel Perform uses an Apache Kafka cluster managed by Amazon Managed Streaming for Apache Kafka (Amazon MSK) as the stream to move the data from the source to the S3 bucket. It also supports partitioning for better performance.

SQL 73
article thumbnail

Stream ingest data from Kafka to Amazon Bedrock Knowledge Bases using custom connectors

AWS Machine Learning Blog

Solution overview: Build a generative AI stock price analyzer with RAG For this post, we implement a RAG architecture with Amazon Bedrock Knowledge Bases using a custom connector and topics built with Amazon Managed Streaming for Apache Kafka (Amazon MSK) for a user who may be interested to understand stock price trends.

article thumbnail

What Are AI Credits and How Can Data Scientists Use Them?

ODSC - Open Data Science

Confluent Confluent provides a robust data streaming platform built around Apache Kafka. With AI credits, teams can streamline the annotation process using intelligent suggestions and quality control mechanisms. Amazon Web Services(AWS) AWS offers one of the most extensive AI and ML infrastructures in the world.