Tag: apache kafka

Kafka Stream Processing + Cloud Integration Lead 47 Features / Enhancements in Striim v 3.8

Striim is proud to announce the launch of version 3.8 of the Striim platform, with 47 new and enhanced capabilities! Since May 2016, Striim has offered Apache Kafka users both change data capture (CDC) and SQL-based stream processing. With more deployments than any other solution, the Striim platform provides the most comprehensive, battle-tested, enterprise-grade integration
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Making the Most of Apache Kafka – Streaming Analytics for Kafka

In Part 4 of this blog series, we shared how the Striim platform facilitates processing and preparation of data, both as it streams in to Kafka, and as it streams out of Kafka to enterprise targets. In this 5th and final post in the “Making the Most of Apache Kafka” series, we will focus on
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Making the Most of Apache Kafka – Data Processing and Preparation for Kafka

In Part 3 of this blog series, we discussed how the Striim platform facilitates moving Kafka data to a wide variety of entrprise targets, including Hadoop and Cloud environments. In this post, we focus on in-stream data processing and preparation for Kafka, whether streaming data to Kafka, or from Kafka to enterprise targets. Data Processing
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Making the Most of Apache Kafka – Delivering Kafka Data

Delivering Kafka Data In Part 2 of this blog series, we looked at how the Striim platform is able to continuously ingest data from a wide variety of data sources, including enterprise databases via change data capture (CDC), and format and deliver that data in real time into Apache Kafka. Here we’ll take a look
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Making the Most of Apache Kafka – Ingestion into Kafka

Ingestion into Kafka In Part 1 of this blog series, we highlighted how Striim’s SQL-based platform makes it easy to deliver processing and analytics of Apache Kafka data. We will now turn our focus toward real-time data ingestion into Kafka from a wide variety of enterprise sources. Getting Data into Kafka When you are considering
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Making the Most of Apache Kafka – Make Kafka Easy

Apache Kafka has proven itself as a fast, scalable, fault-tolerant messaging system, and has been chosen by many leading organizations as the standard for moving data around in a reliable way. In this blog series, I would like to share how to make the most of Kafka when building streaming integration or analytics applications, including
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Striim 3.6 Feature Deep Dive: Change Data Capture Wizards

When working with change data capture (CDC), it’s not always obvious whether everything is properly set up. If you’re capturing change data from a SQL Server database, you need to enable the Server Agent. With Oracle, you need to set up supplemental logging. For MySQL, you need to enable replication. Depending on each source-to-target combination, there are many
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Native Apache Kafka Integration in the Striim Platform

Tight Integration Enables Streaming Replay, Application Decoupling, and Event Processing Guarantee Apache Kafka is now embedded within the Striim platform. Now, if you choose, you no longer need to maintain a Kafka cluster, or mess with your Kafka tier, to deliver streaming integration and analytics. This native Kafka integration opens the door to several new
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What’s New in Striim 3.6

Mega Release of the Striim Platform Supports Hybrid Cloud and Embeds Apache Kafka The Striim Team has been busy. In a world of iterative development, Striim has made a giant leap forward with the GA of Striim version 3.6.1. The dual theme of this release of the Striim platform is 1) making real-time data integration
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