Zero-downtime Migration from Oracle to PostgreSQL

 

In this webinar, we will focus on the seamless execution of a zero-downtime migration from Oracle to PostgreSQL using the powerful Striim tool. In today’s dynamic IT landscape, minimizing disruption during database migrations is paramount, and our webinar aims to provide you with expert insights and practical guidance on achieving this critical objective. Join us as we delve into the intricacies of this process, leveraging Striim’s cutting-edge capabilities to ensure a smooth transition from Oracle to PostgreSQL without any downtime.

Presented by:

Simson Chow
Sr. Cloud Solutions Architect, Striim

Securely Stream Real-time Enterprise Data to Generative AI Applications

Dive deep into best practices and innovative solutions that ensure the secure transmission of enterprise data to cutting-edge generative AI platforms that run in your private enterprise environment. Learn about the challenges faced during this process and the strategies to overcome them, ensuring data integrity, privacy, and optimal AI performance. Whether you’re an AI enthusiast, data scientist, or IT professional, this webinar offers valuable insights into harnessing the true potential of generative AI in a secure and efficient manner.
We will run through an end-to-end enterprise example of providing customers with an AI-driven chat experience powered by real-time inventory data.

Striim Cloud Mission Critical

Striim is excited to announce Striim Cloud Mission Critical: the industry’s first unified data streaming and analytics platform designed to power mission critical Data and AI applications at massive scale with a simple, fully managed service.
 
In a matter of clicks, you can launch an infinitely scalable distributed data streaming pipeline with high availability, and resilience to failure, providing maximum uptime for your critical business operations.
Watch this on-demand webinar to learn how to accelerate your analytics and decision making with the highest availability on the market.

Presented by:

John Kutay
Head of Products

Unlocking Real-Time Insights: Striim’s Real-Time Data Integration with Google Cloud

 

Watch On-demand
In today’s fast-paced digital landscape, businesses increasingly rely on real-time data integration solutions to gain actionable insights and make data-driven decisions. Striim, a leading real-time data integration platform, offers seamless connectivity to Google Cloud Platform (GCP) services, enabling organizations to harness the power of real-time data streaming.
Join us for an informative webinar as we showcase Striim’s cutting-edge capabilities in real-time data integration with GCP. During this live session, we will demonstrate how Striim efficiently loads data from Oracle, a popular database management system, and seamlessly replicates it to multiple GCP targets, including BigQuery, Spanner, Google Cloud Storage (GCS), and Pub/Sub.
Key highlights of the webinar include:
  1. An overview of Striim’s real-time data integration capabilities and how it facilitates continuous, low-latency data movement.
  2. Live demonstrations showcasing the integration with BigQuery, Spanner, GCS, and Pub/Sub, illustrating real-time data streaming in action.
  3. A special focus on Striim’s industry-leading BigQuery Storage Write API, enabling high-performance and cost-effective data ingestion into BigQuery.
  4. Success stories of organizations leveraging Striim for real-time data integration needs.
  5. Best practices for implementing Striim’s industry-leading Google to BigQuery data loading.
Don’t miss this opportunity to explore the seamless integration between Striim and Google Cloud Platform, and discover how you can harness the power of real-time data streaming for your organization’s data-driven success. Join us to gain valuable insights from our team and get ready to unleash the true potential of your data in the cloud.

Presented by:

Srdan Dvanajscak
Director of Solutions Consulting, Striim

 

Dave Buswell
Solutions Architect, Striim

Unleashing the Power of Striim: Oracle to Snowflake Data Stream with Real-time CDC

 

Watch our recorded webinar to discover how Striim, a powerful enterprise-grade streaming integration and intelligence platform, revolutionizes the process of data migration and real-time Change Data Capture (CDC) from Oracle to Snowflake.
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As organizations increasingly adopt Snowflake’s cloud data platform for its scalability, flexibility, and performance, the need to seamlessly transition data from legacy systems becomes paramount. Striim offers a comprehensive solution by leveraging its advanced capabilities to ensure a smooth, efficient, and near real-time migration process.
In this webinar, our experts will demonstrate how Striim’s intuitive interface simplifies the complexities of Oracle to Snowflake migration, saving significant time and effort. They will showcase Striim’s powerful CDC functionality, enabling you to capture and replicate changes from Oracle databases in real time to Snowflake, ensuring data integrity and continuous availability.
By attending this session, you will gain insights into:
  1. The challenges of traditional data migration methods and the advantages of using Striim’s streamlined approach.
  2. How Striim’s intelligent integration and transformation capabilities enable seamless data transfer from Oracle to Snowflake.
  3. Real-time Change Data Capture (CDC) and its significance in maintaining data accuracy and consistency during migration.
  4. A live demonstration of Striim’s Oracle to Snowflake migration and CDC functionalities, highlighting key features.
  5. Customer success stories and real-world examples of organizations that have leveraged Striim to achieve efficient Oracle to Snowflake data migration.
Don’t miss this opportunity to explore how Striim empowers your organization to unlock the full potential of Snowflake’s cloud data platform. Watch now and embark on a journey towards seamless data migration and real-time CDC with Striim’s cutting-edge capabilities.

Presented by:

Srdan Dvanajscak
Director of Solutions Consulting, Striim

 

Dave Buswell
Solutions Architect, Striim

Building a Real-Time Lakehouse with Data Streaming

Data lakehouses are a strategic platform for unification of enterprise decision support, advanced analytics, and machine learning.

If engineered for streaming and other low-latency workloads, data lakehouses can enable companies to deliver trusted data-driven insights and sophisticated analytics in real time to internal operations as well as to customer-facing applications.

Delivering on the promise of the real-time cloud data lakehouse demands careful attention to a wide range of architecture, deployment, governance, and performance issues. Please join TDWI’s senior research director James Kobielus on this on-demand webinar, in which he, Databricks’ Spencer Cook, and Striim’s John Kutay, discuss how enterprises can incorporate change data capture and data streaming in a cloud-based lakehouse to drive real-time data-driven insights, operations, and customer engagement. After brief presentations, Kobielus, Cook, and Kutay engage in a roundtable discussion focused on the following issues:

  • What are the core business use cases for a real-time enterprise cloud data lakehouse?
  • What are the essential ingredients of a real-time enterprise cloud data lakehouse?
  • How should enterprises deploy change data capture, streaming, and other low-latency infrastructure within a real-time cloud data lakehouse?
  • What challenges do enterprises face when migrating schemas, data, and workloads from legacy data warehouses to a cloud data lakehouse?
  • How can enterprises future-proof their investments in real-time cloud data lakehouses?

Presented by:

Spencer Cook – Senior Solutions Architect, Databricks

Spencer Cook, M.S., is a data professional with experience delivering end-to-end analytics solutions in the cloud to iconic brands. Since 2021, Spencer has been a financial services solutions architect at Databricks focused on revolutionizing the industry with lakehouse architecture.

John Kutay – Director of Product Management, Striim

John Kutay is director of product management at Striim with prior experience as a software engineer, product manager, and investor. His podcast “What’s New in Data” best captures his ability to understand upcoming trends in the data space with thousands of listeners across the globe. In addition, John has over 10 years of experience in the streaming data space through academic research and his work at Striim.

The Future of Streaming Data: Technology, Use Cases, and Opportunities

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The streaming data market is constantly changing and evolving due to technological innovation and market demand. In order to stay ahead of the competition, companies need to have the most current and accurate information about the streaming data landscape. Watch our on-demand webinar to learn more about the future of the streaming data market. Sanjeev Mohan (Principal, SanjMo & Former Gartner Research VP) and Alok Pareek (Founder & EVP Products, Striim) discuss topics including:

      • The latest data trends including data products, data mesh, data observability, and more
      • The growth of real-time streaming replication and multiple market patterns to achieve replication (and their use cases)
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