Alex Burdenko’s Post

Don’t miss this opportunity to hear how companies like DoorDash, Johnson & Johnson, and LinkedIn are scaling data integration pipelines and how they are able to support a variety of use cases from data flows for operational systems and applications,to analytics, business intelligence, and reporting, to rapid experimentation to roll GenAI use cases into production at scale. What you’ll learn: Join Jobin George, Data & Analytics Solutions Architect at Google, and Avinash Shahdadpuri, Co-founder and CTO at Nexla, to learn how to scale data integration pipelines in and out of Google BiqQuery. Jobin and Avinash will cover real-world scenarios with BigQuery and show you how you can seamlessly scale data pipelines for every use case from GenAI to Business Intelligence and Operational Systems with Nexla and Google BigQuery. Use cases will include: Creating intelligent data flows to and from Google BigQuery from anywhere in minutes, easily and reliably. Best practices for operational data integration pipelines that run your business and applications with trillions of records. Considerations for optimizing ETL/ELT pipelines for analytics use cases for enhanced business intelligence and dashboards. New and emerging use cases like transformations to vector embeddings for GenAI and rapid experimentation with various LLMs.

Don’t miss this opportunity to hear how companies like DoorDash, Johnson & Johnson, and LinkedIn are scaling data integration pipelines and how they are able to support a variety of use cases from data flows for operational systems and applications,to analytics, business intelligence, and reporting, to rapid experimentation to roll GenAI use cases into production at scale. What you’ll learn: Join Jobin George, Data & Analytics Solutions Architect at Google, and Avinash Shahdadpuri, Co-founder and CTO at Nexla, to learn how to scale data integration pipelines in and out of Google BiqQuery. Jobin and Avinash will cover real-world scenarios with BigQuery and show you how you can seamlessly scale data pipelines for every use case from GenAI to Business Intelligence and Operational Systems with Nexla and Google BigQuery. Use cases will include: Creating intelligent data flows to and from Google BigQuery from anywhere in minutes, easily and reliably. Best practices for operational data integration pipelines that run your business and applications with trillions of records. Considerations for optimizing ETL/ELT pipelines for analytics use cases for enhanced business intelligence and dashboards. New and emerging use cases like transformations to vector embeddings for GenAI and rapid experimentation with various LLMs.

Don’t miss this opportunity to hear how companies like DoorDash, Johnson & Johnson, and LinkedIn are scaling data integration pipelines and how they are able to support a variety of use cases from data flows for operational systems and applications,to analytics, business intelligence, and reporting, to rapid experimentation to roll GenAI use cases into production at scale. What you’ll learn: Join Jobin George, Data & Analytics Solutions Architect at Google, and Avinash Shahdadpuri, Co-founder and CTO at Nexla, to learn how to scale data integration pipelines in and out of Google BiqQuery. Jobin and Avinash will cover real-world scenarios with BigQuery and show you how you can seamlessly scale data pipelines for every use case from GenAI to Business Intelligence and Operational Systems with Nexla and Google BigQuery. Use cases will include: Creating intelligent data flows to and from Google BigQuery from anywhere in minutes, easily and reliably. Best practices for operational data integration pipelines that run your business and applications with trillions of records. Considerations for optimizing ETL/ELT pipelines for analytics use cases for enhanced business intelligence and dashboards. New and emerging use cases like transformations to vector embeddings for GenAI and rapid experimentation with various LLMs.

Don’t miss this opportunity to hear how companies like DoorDash, Johnson & Johnson, and LinkedIn are scaling data integration pipelines and how they are able to support a variety of use cases from data flows for operational systems and applications,to analytics, business intelligence, and reporting, to rapid experimentation to roll GenAI use cases into production at scale. What you’ll learn: Join Jobin George, Data & Analytics Solutions Architect at Google, and Avinash Shahdadpuri, Co-founder and CTO at Nexla, to learn how to scale data integration pipelines in and out of Google BiqQuery. Jobin and Avinash will cover real-world scenarios with BigQuery and show you how you can seamlessly scale data pipelines for every use case from GenAI to Business Intelligence and Operational Systems with Nexla and Google BigQuery. Use cases will include: Creating intelligent data flows to and from Google BigQuery from anywhere in minutes, easily and reliably. Best practices for operational data integration pipelines that run your business and applications with trillions of records. Considerations for optimizing ETL/ELT pipelines for analytics use cases for enhanced business intelligence and dashboards. New and emerging use cases like transformations to vector embeddings for GenAI and rapid experimentation with various LLMs.

Don’t miss this opportunity to hear how companies like DoorDash, Johnson & Johnson, and LinkedIn are scaling data integration pipelines and how they are able to support a variety of use cases from data flows for operational systems and applications,to analytics, business intelligence, and reporting, to rapid experimentation to roll GenAI use cases into production at scale. What you’ll learn: Join Jobin George, Data & Analytics Solutions Architect at Google, and Avinash Shahdadpuri, Co-founder and CTO at Nexla, to learn how to scale data integration pipelines in and out of Google BiqQuery. Jobin and Avinash will cover real-world scenarios with BigQuery and show you how you can seamlessly scale data pipelines for every use case from GenAI to Business Intelligence and Operational Systems with Nexla and Google BigQuery. Use cases will include: Creating intelligent data flows to and from Google BigQuery from anywhere in minutes, easily and reliably. Best practices for operational data integration pipelines that run your business and applications with trillions of records. Considerations for optimizing ETL/ELT pipelines for analytics use cases for enhanced business intelligence and dashboards. New and emerging use cases like transformations to vector embeddings for GenAI and rapid experimentation with various LLMs.

Don’t miss this opportunity to hear how companies like DoorDash, Johnson & Johnson, and LinkedIn are scaling data integration pipelines and how they are able to support a variety of use cases from data flows for operational systems and applications,to analytics, business intelligence, and reporting, to rapid experimentation to roll GenAI use cases into production at scale. What you’ll learn: Join Jobin George, Data & Analytics Solutions Architect at Google, and Avinash Shahdadpuri, Co-founder and CTO at Nexla, to learn how to scale data integration pipelines in and out of Google BiqQuery. Jobin and Avinash will cover real-world scenarios with BigQuery and show you how you can seamlessly scale data pipelines for every use case from GenAI to Business Intelligence and Operational Systems with Nexla and Google BigQuery. Use cases will include: Creating intelligent data flows to and from Google BigQuery from anywhere in minutes, easily and reliably. Best practices for operational data integration pipelines that run your business and applications with trillions of records. Considerations for optimizing ETL/ELT pipelines for analytics use cases for enhanced business intelligence and dashboards. New and emerging use cases like transformations to vector embeddings for GenAI and rapid experimentation with various LLMs.

Don’t miss this opportunity to hear how companies like DoorDash, Johnson & Johnson, and LinkedIn are scaling data integration pipelines and how they are able to support a variety of use cases from data flows for operational systems and applications,to analytics, business intelligence, and reporting, to rapid experimentation to roll GenAI use cases into production at scale. What you’ll learn: Join Jobin George, Data & Analytics Solutions Architect at Google, and Avinash Shahdadpuri, Co-founder and CTO at Nexla, to learn how to scale data integration pipelines in and out of Google BiqQuery. Jobin and Avinash will cover real-world scenarios with BigQuery and show you how you can seamlessly scale data pipelines for every use case from GenAI to Business Intelligence and Operational Systems with Nexla and Google BigQuery. Use cases will include: Creating intelligent data flows to and from Google BigQuery from anywhere in minutes, easily and reliably. Best practices for operational data integration pipelines that run your business and applications with trillions of records. Considerations for optimizing ETL/ELT pipelines for analytics use cases for enhanced business intelligence and dashboards. New and emerging use cases like transformations to vector embeddings for GenAI and rapid experimentation with various LLMs.

Don’t miss this opportunity to hear how companies like DoorDash, Johnson & Johnson, and LinkedIn are scaling data integration pipelines and how they are able to support a variety of use cases from data flows for operational systems and applications,to analytics, business intelligence, and reporting, to rapid experimentation to roll GenAI use cases into production at scale. What you’ll learn: Join Jobin George, Data & Analytics Solutions Architect at Google, and Avinash Shahdadpuri, Co-founder and CTO at Nexla, to learn how to scale data integration pipelines in and out of Google BiqQuery. Jobin and Avinash will cover real-world scenarios with BigQuery and show you how you can seamlessly scale data pipelines for every use case from GenAI to Business Intelligence and Operational Systems with Nexla and Google BigQuery. Use cases will include: Creating intelligent data flows to and from Google BigQuery from anywhere in minutes, easily and reliably. Best practices for operational data integration pipelines that run your business and applications with trillions of records. Considerations for optimizing ETL/ELT pipelines for analytics use cases for enhanced business intelligence and dashboards. New and emerging use cases like transformations to vector embeddings for GenAI and rapid experimentation with various LLMs.

Don’t miss this opportunity to hear how companies like DoorDash, Johnson & Johnson, and LinkedIn are scaling data integration pipelines and how they are able to support a variety of use cases from data flows for operational systems and applications,to analytics, business intelligence, and reporting, to rapid experimentation to roll GenAI use cases into production at scale. What you’ll learn: Join Jobin George, Data & Analytics Solutions Architect at Google, and Avinash Shahdadpuri, Co-founder and CTO at Nexla, to learn how to scale data integration pipelines in and out of Google BiqQuery. Jobin and Avinash will cover real-world scenarios with BigQuery and show you how you can seamlessly scale data pipelines for every use case from GenAI to Business Intelligence and Operational Systems with Nexla and Google BigQuery. Use cases will include: Creating intelligent data flows to and from Google BigQuery from anywhere in minutes, easily and reliably. Best practices for operational data integration pipelines that run your business and applications with trillions of records. Considerations for optimizing ETL/ELT pipelines for analytics use cases for enhanced business intelligence and dashboards. New and emerging use cases like transformations to vector embeddings for GenAI and rapid experimentation with various LLMs.

Don’t miss this opportunity to hear how companies like DoorDash, Johnson & Johnson, and LinkedIn are scaling data integration pipelines and how they are able to support a variety of use cases from data flows for operational systems and applications,to analytics, business intelligence, and reporting, to rapid experimentation to roll GenAI use cases into production at scale. What you’ll learn: Join Jobin George, Data & Analytics Solutions Architect at Google, and Avinash Shahdadpuri, Co-founder and CTO at Nexla, to learn how to scale data integration pipelines in and out of Google BiqQuery. Jobin and Avinash will cover real-world scenarios with BigQuery and show you how you can seamlessly scale data pipelines for every use case from GenAI to Business Intelligence and Operational Systems with Nexla and Google BigQuery. Use cases will include: Creating intelligent data flows to and from Google BigQuery from anywhere in minutes, easily and reliably. Best practices for operational data integration pipelines that run your business and applications with trillions of records. Considerations for optimizing ETL/ELT pipelines for analytics use cases for enhanced business intelligence and dashboards. New and emerging use cases like transformations to vector embeddings for GenAI and rapid experimentation with various LLMs.