Data Pipeline Technology Solutions

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Data Pipeline Technology Solutions

Data pipeline solutions are crucial for efficiently moving, transforming, and storing data, enabling businesses to leverage data-driven insights, automate processes, and make faster, more informed decisions.

Join TDWI on April 22 to view leading data pipeline solutions in action. Learn how data pipeline solutions can benefit your organization by providing real-time analytics, improved decision-making, faster insights with streamlined data processing and analysis workflow, data management automation, and optimization that facilitates the migration of data from legacy systems to data warehouses—as well as key business benefits including improved efficiency, cost savings, competitive advantage, and scalability.

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    Session 1: Overcoming Challenges with Data Pipelines for Behavioral Data

    April 22 — 9:00-9:20 a.m. PT / 12:00-12:20 p.m. ET

    Pipelines for capturing user behavior for digital analytics involve overcoming lots of challenges. From simple pipelines based on Google Analytics to homebuilt pipelines scaled to handle billions of events a day, there are fundamental challenges to overcome in order to gain quality insights to improve your products. In this session, Trent will provide insight into these challenges and how they can be addressed.

    Trent Kalisch-Smith, Sales Engineering Team Lead, Snowplow

    Trent Kalisch-Smith leads sales engineering for the international team at Snowplow. Over the last five years he has worked pre- and post-sales with companies over many different industries to understand user behavior. They have used this to improve their business including product and marketing.

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    Session 2: Real-Time Data Streaming with Striim

    April 22 — 9:20-9:40 a.m. PT / 12:20-12:40 p.m. ET

    Many enterprises struggle with data silos, delayed insights, and operational inefficiencies due to legacy batch processing. As businesses scale, the ability to ingest, process, and analyze data in real time becomes critical for maintaining agility, optimizing decision-making, and improving customer experiences.

    Join Striim for a deep dive into how organizations across industries are replacing batch ETL processes with real-time data streaming. We’ll showcase how Striim continuously ingests, transforms, and delivers data from on-premises and cloud-based sources into Google Cloud—enabling real-time analytics, faster reporting, and automated decision-making across retail, finance, healthcare, manufacturing, and more.

    This session will feature:

    • A live demo of Striim streaming data from disparate databases, ERPs, and transactional systems into Google BigQuery
    • Streaming structured and semistructured data into Google BigQuery for real-time analytics
    • Best practices for building scalable, low-latency data pipelines that drive immediate business impact
    • Q&A with Striim VP of partner technology and Google customer engineer

    Whether you’re modernizing your data stack, breaking down silos, or optimizing real-time analytics, Striim will give you a practical blueprint for building real-time, cloud-first data pipelines that scale across any industry.

    Codin Pora, VP, Partner Technology, Striim

    Codin Pora is the VP of partner technology at Striim, leading strategic collaborations with industry partners to drive real-time data streaming and integration. He specializes in enabling real-time data movement to cloud platforms, unlocking AI and analytics at scale.

    Previously, Codin co-founded My Consi, Inc., led real-time messaging innovations at PicMeUp, and held senior technical roles at Oracle and GoldenGate Software, focusing on data integration and cloud technologies. With over two decades of experience, he continues to shape the future of real-time analytics and AI-driven data infrastructure.

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    Session 3: Turning Real-Time Data into Insights with Google Cloud

    April 22 — 9:40-10:00 a.m. PT / 12:40-1:00 p.m. ET

    Real-time analytics starts with getting fresh, high-velocity data into the right place—fast. With Striim, organizations can seamlessly stream data from on-premises and cloud-based sources into Google Cloud, eliminating batch delays and enabling up-to-the-second decision-making. But once the data is in Google Cloud, how do you make it actionable?

    In this session, we’ll show you how Google Cloud’s analytics stack—BigQuery, Looker, and AI-driven insights—transforms real-time data into immediate business value. You’ll learn:

    • An inside look at Looker’s real-time semantic layer on top of BigQuery
    • AI-powered insights with Vertex AI and BigQuery ML to surface anomalies, predict trends, and automate real-time decision-making at scale

    We’ll wrap up with a Q&A where you can ask Google Cloud experts about best practices for optimizing real-time analytics, integrating with existing workflows, and scaling insights across your organization.

    Bruce Sandell, Partner Solutions Engineer, Google

    Bruce is a partner solutions engineer at Google. He has over twenty years of experience building database applications, from single-user data entry systems to high-volume, multi-terabyte data warehousing applications. He is a seasoned technical support engineer/manager with experience building a worldwide support team from the ground up to support a complex suite of technical products.