Events

Striim is a proud Velocity Sponsor of Google Next OnAir. Next OnAir sessions offer dynamic content to help you learn more about cloud technology ― no matter your industry, interests, or level of expertise. Explore session topics, such as migrating and managing enterprise data with security, reliability, high availability, and fully managed data services.

Striim and Google Cloud are bringing digital transformation to the comfort of your home offices! Join our cloud experts as they guide you through an online data migration during this virtual Hands-On Lab using Striim for Google Cloud.

In this webinar, we’ll provide a brief overview of SkySQL and Striim, discuss zero-downtime migration and give a live demo showing how to stream data from an on-premises Oracle Database to SkySQL using Striim and its native change-data-capture support.

Join this virtual meetup and take part in the discussion of how a Streaming Platform enables fully connected hybrid cloud environments via continuous real-time data movement and processing across on-prem data sources and a wide variety of cloud services on Microsoft Azure. We’ll also provide an extensive demo of how to implement such data integration pipelines.

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Striim and Google Cloud are bringing digital transformation to the comfort of your home offices! Join our cloud experts in an invite only virtual Hands-On Lab using Striim for Google Cloud.

Exhibitor, Booth 310

Striim is exhibiting at AWS re:Invent Las Vegas! Stop by the Striim booth to speak with one of our experts about how you can move real-time data from a variety of sources into your AWS Cloud environment.

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Stop by the Striim booth at Google Next London to see how to move real-time data to Google BigQuery, Cloud Storage, Cloud SQL for PostgreSQL and MySQL.

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Striim is pleased to be a Gold Sponsor of Big Data LDN in London. Stop by to visit us in Booth 651 and learn how companies across Europe are using Striim to move real-time data to the Cloud at scale.

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Striim will be exhibiting at Microsoft Ignite Orlando. Visit our booth to learn how to move data into the Azure Cloud using the Striim platform.

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Striim will be exhibiting at AWS Summit Toronto. Visit the Striim booth to learn how to move real-time data into AWS Cloud using Striim.

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Striim will be exhibiting at Google Cloud Summit in Atlanta. Visit our booth to learn how to move data to your Google Cloud environment using the Striim platform.

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Striim is an Impact Sponsor of Strata NY 2019. Stop by our booth at #1227 to learn how the Striim platform can help meet your data challenges.

Use our code, “Striim20,” at checkout to take 20% off Gold, Silver, and Bronze conference passes!

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Striim is a Velocity Sponsor of Google Cloud Summit in Seattle! Visit our booth at V-02 to learn how the Striim platform can move real-time data to environments like Google BigQuery, Cloud Storage, and Cloud SQL for PostgreSQL and MySQL, among others.

Additionally, attend a presentation by Codin Pora, Vice President of Business Development at Striim, as he discusses how to accelerate your move to the cloud with streaming data integration with intelligence:

“Accelerating Cloud Adoption: Streaming Data Integration with Intelligence”
12:25 PM–12:55 PM
Breakout Room C

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Striim will be exhibiting at Microsoft Inspire Las Vegas. Visit our booth at #317 to learn how to move data into the Azure Cloud using the Striim platform.

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Striim will be exhibiting at AWS Summit New York. Visit our booth at K22 to learn how to move real-time data into AWS Cloud using Striim.

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Steve Wilkes, Founder and CTO of Striim, will have two speaking slots at Cloud Expo Silicon Valley discussing key elements for cloud adoption. The speaking sessions are entitled, “The Gravitational Attraction of Cloud: Big Data is Big, But Cloud is Massive” and “The Role of Fast Data in Continuous Hybrid Cloud.”

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Striim is thrilled to be a Gold Sponsor of Snowflake Summit 2019 in San Francisco. Stop by the Striim booth at #G1 to learn how you can move enterprise data from a variety of locations into your Snowflake environment, all in in real time.

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Do you have plans to move critical systems to the cloud but have concerns about downtime, integration challenges, or data loss? Do you need to ensure your cloud-based systems have continuous, up-to-date data from existing on-premise or other cloud sources? What’s needed is an approach to help teams more easily make the move to the cloud with confidence, continuity, and minimized risk for even their most mission-critical systems. In this 30-minute webinar, Striim’s CTO Steve Wilkes lays out the opportunities for reducing migration downtime and data loss risks and reviews hybrid cloud integration best practices that reliably support operational workloads. Don’t miss this practical presentation to help plan your successful cloud adoption initiative.

Whether for on-demand movement and processing of data or real-time analytics, a rock-steady streaming platform is essential to doing analytics right. Today – especially in the context of digital transformation and operational intelligence – it’s stream or go home. The Webinar features GigaOm analyst Andrew Brust and special guest, Steve Wilkes, co-founder and CTO of Striim. In this 1-hour webinar, you will discover:

• The main components of a streaming platform: Ingestion, processing and delivery
• How streaming data integration supports cloud adoption and building new apps in the cloud
• How streaming data architecture accelerates AI/ML initiatives
• Why the Internet of Things (IoT) ties into streaming data, yet doesn’t define it
• How change data capture (CDC) technology bridges the worlds of streaming and transactional data for analytics

Learn how to quickly enhance your data architecture by using streaming integration for your critical data sources running on HPE NonStop. Discover how to prepare your transactional data through stream processing , all before the data is delivered to cloud, analytical environments, or other transactional systems.

Striim CTO and Co-Founder, Steve Wilkes, discusses customer use cases where real-time data integration with built-in stream processing solves key challenges related to today’s fast-paced, heterogeneous and hybrid data environments.

During this 30-minute webinar, we discuss how easy it can be to use pre-built wizards to ingest and integrate data into Kafka from a wide variety of sources, and provide SQL-based stream processing on Kafka.

In this webinar, Striim CTO Steve Wilkes presents several real-world case studies that utilize streaming analytics to illustrate how companies can outsmart risks, ensure regulatory compliance, and seize opportunities to improve customer experience.

Striim participated in Integration Developer News’ Intelligent Data Summit; a multi-vendor online event that explored how data’s 3Vs (volumes, varieties and velocity) create new opportunities for apps and analytics.

Over the next 8 years, the amount of data created per year will increase 10X to over 160 zettabytes – with 95% originating from the world of IoT – according to a new IDC report.

With this data deluge on the horizon, now is the time to architect for this new reality. The current strategies of Big Data storage and micro-batch processing and analysis, while important, will no longer be sufficient to handle such extreme data volumes, or make sense of it.

Join Alex Woodie, Managing Editor of Datanami, and Steve Wilkes, founder and CTO of Striim, for an interactive live discussion.

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Join guest speaker Stephanie Balaouras, Forrester Vice President and Research Director serving Security and Risk professionals, and Steve Wilkes, co-founder and CTO of Striim, to:

• Discuss why today’s security challenges are really an analytics challenge
• Describe how streaming analytics solutions are combating external attacks, malicious insiders, and fraud
• Distill the benefits of streaming analytics solutions to security and other initiatives in the organization

Real-world case studies of how streaming analytics is being used to prevent fraud and cyberattacks will also be shared.

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Organizations worldwide are learning hard lessons these days about the constraints of dated information systems. The time-tested process of Extract-Transform-Load (ETL) is fast losing its ability to cope with the volume, velocity and variety of Big Data coming down the pike. Forward-thinking companies are therefore prepping the battle field by designing on-ramps to the future of streaming analytics.

View this episode of The Briefing Room to hear Analyst Mark Madsen explain how a new era of data solutions is rising to the challenge of streaming data. He’s briefed by Steve Wilkes, founder and CTO of the Striim platform. Steve shares how enterprises are turning to streaming data integration, in-memory transformations and continuous processing to achieve the goals of ETL in milliseconds – at a fraction of the cost and complexity of legacy systems. Several case studies are shared.

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