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Tag: change data capture

Striim CTO Pens Data Modernization Article for Datanami

Today, we’re happy to share that Datanami published an article written by Striim’s very own CTO, Steve Wilkes! The piece discusses Data Modernization and goes into detail about some of the enterprise challenges driving companies to think about a modern data architecture, how we got here, and how companies can achieve data modernization in realistic
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Aragon Research Highlights Striim as a 2017 Hot Vendor in Streaming Analytics

We are excited to announce that Striim has been recognized by Aragon Research as a 2017 Hot Vendor in Streaming Analytics! Aragon Research is a research and advisory firm that provides thought leading research to help enterprise companies make better technology and strategy decisions. The Hot Vendors list is an annual report that highlights vendors
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Introducing Hazelcast Striim Hot Cache

Today, we are thrilled to announce the availability of Hazelcast Striim Hot Cache. This joint solution with Hazelcast’s in-memory data grid uses Striim’s Change Data Capture to solve the cache consistency problem. With Hazelcast Striim Hot Cache, you can reduce the latency of propagation of data from your backend database into your Hazelcast cache to milliseconds.
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Striim Integrates with Google BigQuery

Enables easy ingestion, change data capture, processing and delivery to BigQuery As companies move toward hybrid cloud infrastructures, they need to be able to easily move data from on-premise to Cloud environments in real time. With this in mind, the Striim Platform seamlessly integrates with BigQuery, Google’s fully managed, petabyte scale, low-cost analytics data warehouse.
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Striim Sponsors Oracle OpenWorld in SF, Sept. 19-21

Striim is proud to be a sponsor at Oracle OpenWorld 2016 at Moscone Center in San Francisco, September 18 – 21. Come by Moscone South, Booth #620 for a demo of the newly released v3.6 Striim platform, and see why Striim was named a 2016 “Cool Vendor” in In-Memory Computing by Gartner. This latest released bolstered key integrations with: Apache Kafka
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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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Making In-Memory Computing Enterprise-Grade – Part 6: Integration

This integration post is the final blog in a six-part series on making In-Memory Computing Enterprise Grade. Read the entire series: Part 1: overview Part 2: data architecture Part 3: scalability Part 4: reliability Part 5: security Part 6: integration   The final Enterprise Grade requirement is Integration. You can have the most amazing in-memory
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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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Making IMC Enterprise-Grade – Part 5: Security

This security post is the fifth blog in a six-part series on making In-Memory Computing Enterprise Grade. Read the entire series: Part 1: overview Part 2: data architecture Part 3: scalability Part 4: reliability Part 5: security Part 6: integration   Security is another key requirement for making In-Memory Computing Enterprise Grade. Not only do
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Demo: Migrate Oracle Data to Azure in Real Time

We’d like to demonstrate how you can migrate Oracle data to Microsoft Azure SQL Server running in the cloud, in real time, using Striim and change data capture (CDC). People often have data in lots of Oracle tables, on-premise. They want to migrate Oracle data into Microsoft Azure SQL Server, in real-time. How do you go about
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