Confluent

MARCH 26, 2019

Apache-Kafka ® -based applications stand out for their ability to decouple producers and consumers using an event log as an intermediate layer. This article describes how to instrument Kafka-based applications with distributed tracing capabilities in order to make dataflows between event-based components more visible.

Kafka 111

Kafka Transportation Metadata Consulting 111

Cloudera

AUGUST 26, 2020

Live data-streaming offers businesses exciting new opportunities to transform the way they operate, leveraging real-time insights to drive better decision making and enhance operational efficiency. Hello Dinesh, thank you for joining us for Part II of our Q&A on streaming data.

Banking 85

Banking Data Ingestion Kafka Data Lake 85

Rockset

MARCH 19, 2020

Intro In recent years, Kafka has become synonymous with “streaming,” and with features like Kafka Streams, KSQL, joins, and integrations into sinks like Elasticsearch and Druid, there are more ways than ever to build a real-time analytics application around streaming data in Kafka.

Kafka 40

Kafka Database Process SQL 40

Cloudera

SEPTEMBER 9, 2020

This blog post will present a simple “hello world” kind of example on how to get data that is stored in S3 indexed and served by an Apache Solr service hosted in a Data Discovery and Exploration cluster in CDP. We will only cover AWS and S3 environments in this blog. We will leave a deeper dive for a future blog post.

AWS 83

AWS Data Unstructured Data Hadoop 83

Rock the JVM

AUGUST 9, 2022

In this post, we’re going to go over an introduction to the main components of ZIO Streams, how to work with them when things go right, and what to do when things go wrong. As a toy example, we’re going to take a brief foray into asynchronous operations, by connecting two streams to the same concurrent data structure.

Scala 40

Scala Bytes Kafka Programming 40

Zalando Engineering

JANUARY 18, 2017

Newer versions of Akka include the possibility of doing pipeline processing on quite a high level, called Akka Streams. Akka Streams have grown from the Reactive Streams initiative. It implements a streaming interface on top of the Akka actor system. It executes stream stages on top of Akka actors.

Scala 52

Scala AWS Coding Data Process 52

ProjectPro

NOVEMBER 22, 2021

The main goal of this is to connect the Python API to the Spark core. Additional libraries on top of Spark Core enable a variety of SQL, streaming, and machine learning applications. What role does Caching play in Spark Streaming? Multiple connections between the same set of vertices are shown by the existence of parallel edges.

Hadoop 52

Hadoop Python Datasets Metadata 52