Gnarly Data Waves
Catch the Next Wave in Data and Analytics
Gnarly Data Waves is a weekly show that features the latest trends, news, and best practices for data lakehouses and modern analytics architectures.
Upcoming Episodes
Past Episodes
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Episode 67
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June 10, 2025
Dremio, MCP, and the Future of Agentic AI
As AI evolves from isolated models to collaborative, context-aware agents, new frameworks are emerging to shape the future of intelligent systems. In this webinar, we’ll explore how Dremio fits into the growing landscape of agentic AI, empowering data-driven workflows with open access to structured data. We’ll introduce the Model Context Protocol (MCP)—a framework designed to create portable, composable, and magnetic AI workflows. Learn how Dremio’s MCP server integrates with the broader Dremio platform to enable seamless interoperability between agents, data platforms, and execution frameworks like Agent2Agent. Finally, we’ll discuss how established tools like LangChain still play an essential role in orchestrating and connecting agentic systems, and how all these tools work together to unlock a new class of AI applications.
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Episode 66
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April 22, 2025
From Vectors to AI Agents: AI With Dremio
See how Dremio powers real-time, AI-ready data access for agent applications and RAG pipelines in this Gnarly Data Waves session with Alex Merced. Learn how to streamline data prep and future-proof your AI stack.
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Episode 65
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April 17, 2025
From Vectors to AI Agents: AI Concepts
Get a clear intro to AI and machine learning concepts in part one of our webinar series with Alex Merced.
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Episode 64
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March 4, 2025
From Insight to Action: Building Scalable Data Products with Dbt
See how Dremio enables seamless virtual modeling and query acceleration, while dbt brings version-controlled transformations and a powerful semantic layer. Join us to learn how this duo simplifies governance and scales your data workflows!
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Episode 63
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February 18, 2025
3 Reasons Why Dremio is the Best Query Engine for Apache Iceberg
This webinar, “3 Reasons Why Dremio is the Best Query Engine for Apache Iceberg,” will showcase Dremio’s unparalleled capabilities: industry-leading performance, query acceleration with Reflections, and advanced catalog solutions for Iceberg table management.
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Episode 62
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February 11, 2025
10 Use Cases for Dremio in Your Data Architecture
This webinar, “10 Use Cases for Dremio in Your Data Architecture,” will showcase how Dremio empowers organizations to accelerate analytics, unify data across diverse sources, and optimize data operations.
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Episode 61
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January 28, 2025
10 Things to Look Forward in 2025 in the Iceberg Ecosystem
Explore how Apache Iceberg is redefining open data lakehouse technology in 2025! Join our webinar to uncover 10 key advancements, from scan planning to geospatial data support, and transform your data strategies.
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Special Edition
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December 17, 2024
Unlocking the Future of Analytics: Dremio’s Updated Architecture Guide
Join us for an exclusive webinar as we explore insights from Dremio’s Architecture Guide and discover how organizations are transforming their data strategies with a modern data lakehouse solution.
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Special Edition
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December 12, 2024
Revolutionizing Data Analytics: How Dremio, Snowflake, and the Polaris Catalog unlock the power of the Hybrid Lakehouse
In today's data-driven world, enterprises face the challenge of managing, analyzing, and deriving insights from massive amounts of data across different environments. Join industry experts from Dremio, Snowflake, and the Polaris Catalog for an exclusive webinar that explores the future of Hybrid Iceberg Lakehouse and data warehousing.
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Special Edition
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December 10, 2024
Part 3: Apache Iceberg Catalogs, Deep Dive Course – Other Catalogs
Our final session will explore other catalog options like Unity, Gravitino and beyond. We’ll compare different lakehouse catalog solutions, highlighting their unique capabilities and how to choose the right one for your organization.
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Special Edition
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December 5, 2024
Mastering Self-Service Analytics with Dremio’s Semantic Layer
Learn how to leverage the Semantic Layer to create a unified view of your data, simplify data governance, and enable seamless access for both technical and non-technical users. Through expert-led demonstrations and actionable use cases, you'll gain the skills to optimize your Dremio implementation and drive greater adoption across your organization.
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Special Edition
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November 26, 2024
Part 2 – The Nessie and Polaris Iceberg Catalogs
In this session, we’ll take a closer look at the Nessie and Polaris catalogs and how they enable efficient data management in Apache Iceberg environments. We’ll cover their key features, implementation strategies, and how they improve upon traditional approaches.
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Episode 61
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November 19, 2024
Moving Past Hadoop to a Modern Data Platform with Pure Storage & Dremio
Discover how Dremio’s Hybrid Iceberg Lakehouse, paired with Pure Storage’s data platform, empowers your teams to accelerate access to insights, simplify data management, and reduce operational costs. Learn best practices for moving from Hadoop to a modern object storage based lakehouse, unlocking performance gains, simplifying management, and achieving environmental sustainability.
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Special Edition
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November 12, 2024
An In-Depth Exploration on the World of Data Lakehouse Catalogs (Iceberg, Polaris, Nessie, Unity, etc.) – What are Data Lakehouse Catalogs?
Watch our kickoff session to explore how catalogs like Nessie, Polaris, and Unity drive data versioning, governance, and optimization in modern data ecosystems. Gain insights into choosing the right catalog to elevate your data management strategy.
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GDW Special Edition 10
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October 29, 2024
An Apache Iceberg Lakehouse Crash Course – Ingesting Data into Apache Iceberg with Dremio
"Ingesting Data into Apache Iceberg with Dremio” is the final episode of our special edition series, focused on optimizing data ingestion into Apache Iceberg. Learn to connect Dremio to various data sources, prepare and analyze data, and apply techniques through live demos and practical examples.
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Episode 59
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October 22, 2024
Charting the Course: The Evolution and Future of Apache Iceberg and Polaris
Join us for an in-depth exploration of Apache Iceberg and Apache Polaris (incubating), where we delve into the past, present, and future of these transformative technologies. This session will provide a comprehensive overview of Iceberg’s journey, its current role within the data ecosystem, and the promising future it holds with the integration of Polaris.
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GDW Special Edition 9
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October 15, 2024
An Apache Iceberg Lakehouse Crash Course – Ingesting Data into Apache Iceberg with Apache Spark
"An Apache Iceberg Lakehouse Crash Course," a comprehensive webinar series designed to deepen your understanding of Apache Iceberg and its role in modern data lakehouse architectures. Over ten sessions, we'll cover everything from the basics of data lakehouses and table formats to advanced topics like partitioning, optimization, and real-time streaming with Apache Iceberg. Don't miss this opportunity to enhance your data platform skills and learn from industry experts.
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GDW Special Edition 8
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October 1, 2024
An Apache Iceberg Lakehouse Crash Course – Versioning with Apache Iceberg
Watch Alex delve into the versioning features of Apache Iceberg and their benefits. This episode will explain - How versioning works in Apache Iceberg. - Benefits of data versioning for analytics and compliance. - Strategies for managing versions and rollbacks. - Examples of versioning in action.
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Episode 57
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September 24, 2024
From Hadoop & Hive to Minio & Dremio: Moving Towards a Next Gen Data Architecture
Join this session to learn how Legacy data platforms often struggle with performance, processing, and scaling for robust AI/ML initiatives, particularly in complex multi-cloud environments. The combined power of MinIO and Dremio creates a data lakehouse platform that overcomes these challenges. Learn how this architecture simplifies critical AI tasks, scales seamlessly to meet demands, and streamlines data management for IT teams.
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GDW Special Edition 7
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September 17, 2024
An Apache Iceberg Lakehouse Crash Course – The Role of Apache Iceberg Catalogs
Learn the importance of catalogs in Apache Iceberg: - Different catalog options (Nessie, Polaris, AWS Glue) - How catalogs facilitate data management and discovery - Integrating catalogs with your existing data infrastructure - Practical usage scenarios and tips
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Special Edition 1
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September 12, 2024
Special Edition 1 – Apache Iceberg Q&A
The "Apache Iceberg Q&A" is an interactive event featuring Alex Merced, Co-author of Apache Iceberg: The Definitive Guide. Attendees will have the unique opportunity to ask Alex their most pressing questions about Apache Iceberg, whether pre-submitted or asked live during the event. This session is perfect for both beginners and experienced professionals looking to deepen their understanding of Apache Iceberg. Make sure to register and submit your questions ahead of time to ensure they are addressed during the event.
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Episode 56
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September 10, 2024
What’s New in Dremio: Improved Automation, Performance + Catalog for Iceberg Lakehouses
Discover the new Dremio capabilities designed to make your Apache Iceberg data lakehouse the most efficient, scalable, and manageable platform for analytics and AI. We’ll cover enhancements in performance, data ingestion, data processing, and federated query capabilities, aimed at helping you achieve the fastest, most scalable, and easiest to use lakehouse for all of your data.
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GDW Special Edition 6
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September 3, 2024
An Apache Iceberg Lakehouse Crash Course – Streaming with Apache Iceberg
"An Apache Iceberg Lakehouse Crash Course," a comprehensive webinar series designed to deepen your understanding of Apache Iceberg and its role in modern data lakehouse architectures. Over ten sessions, we'll cover everything from the basics of data lakehouses and table formats to advanced topics like partitioning, optimization, and real-time streaming with Apache Iceberg. Don't miss this opportunity to enhance your data platform skills and learn from industry experts.
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GDW Special Edition 5
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August 27, 2024
An Apache Iceberg Lakehouse Crash Course – Optimizing Apache Iceberg Tables
"An Apache Iceberg Lakehouse Crash Course," a comprehensive webinar series designed to deepen your understanding of Apache Iceberg and its role in modern data lakehouse architectures. Over ten sessions, we'll cover everything from the basics of data lakehouses and table formats to advanced topics like partitioning, optimization, and real-time streaming with Apache Iceberg. Don't miss this opportunity to enhance your data platform skills and learn from industry experts.
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Episode 55
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August 20, 2024
Unite Data Across Dremio, Snowflake, Iceberg, and Beyond
Join this session to learn how Dremio, the Unified Lakehouse Platform for Self-Service Analytics and AI, empowers Snowflake customers to harness their data's full potential. Learn how Dremio eliminates data silos by federating analytics across Snowflake, Iceberg and other data sources, and combining that with an intelligent semantic layer.
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GDW Special Edition 4
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August 13, 2024
An Apache Iceberg Lakehouse Crash Course – Understanding Apache Iceberg’s Partitioning Features
Gain a comprehensive understanding of Apache Iceberg's partitioning capabilities. This episode will discuss: - Different partitioning strategies in Apache Iceberg. - How partitioning enhances query performance. - Understanding how Hidden Partitioning works. - Understanding how Partition Evolution Works.
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Episode 54
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August 8, 2024
Mastering Semantic Layers: The Key to Data-Driven Innovation
A semantic layer in data analytics acts as a bridge between complex data and business users, simplifying data access and interpretation. It enables self-service analytics, ensures data consistency, and accelerates time-to-insight, transforming your data strategy for faster, data-driven decision-making.
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GDW Special Edition 3
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July 23, 2024
An Apache Iceberg Lakehouse Crash Course – The Read and Write Process for Apache Iceberg Tables
"An Apache Iceberg Lakehouse Crash Course," a comprehensive webinar series designed to deepen your understanding of Apache Iceberg and its role in modern data lakehouse architectures. Over ten sessions, we'll cover everything from the basics of data lakehouses and table formats to advanced topics like partitioning, optimization, and real-time streaming with Apache Iceberg. Don't miss this opportunity to enhance your data platform skills and learn from industry experts
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GDW Special Edition 2
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July 16, 2024
An Apache Iceberg Lakehouse Crash Course – The Architecture of Apache Iceberg, Apache Hudi, and Delta Lake
Dive into the architectural intricacies of leading table formats Apache Iceberg, Apache Hudi, and Delta Lake. This session will cover: - Core components and design principles of each table format - Comparison of features and use cases - How to choose the right table format for your needs - Practical scenarios and best practices
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GDW Special Edition 1
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July 11, 2024
Apache Iceberg Lakehouse Crash Course – What is a Data Lakehouse and What is a Table Format?
"An Apache Iceberg Lakehouse Crash Course," a comprehensive webinar series designed to deepen your understanding of Apache Iceberg and its role in modern data lakehouse architectures. Over ten sessions, we'll cover everything from the basics of data lakehouses and table formats to advanced topics like partitioning, optimization, and real-time streaming with Apache Iceberg. Don't miss this opportunity to enhance your data platform skills and learn from industry experts.
Watch Now
Episode 53
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July 9, 2024
Build the next-generation Iceberg lakehouse with Dremio and NetApp
Join our upcoming webinar to explore the future of data lakes and discover how NetApp and Dremio can revolutionize your analytics by delivering the next-generation of lakehouse with Apache Iceberg.
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Episode 52
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June 25, 2024
Best of Subsurface 2024
The "Best of Subsurface 2024" webinar offers a comprehensive recap of the top moments from the Subsurface conference. Attendees will gain insights from industry leaders on data lakehouse implementations, open source advancements, and the future of data engineering.
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Episode 51
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June 13, 2024
Scania’s Journey in Navigating and Implementing Data Mesh
Learn about Scania’s journey implementing a data mesh to improve delivery and business outcomes. Highlights on architecture, prioritization, platform selection, and data culture transformations will be shared. Included will be Dremio’s Field CDO and Agile Lab Co-Founder to share additional lessons learned via other global enterprises on similar journeys.
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Episode 50
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May 29, 2024
Optimize Analytics Workloads with Dremio + Snowflake
You need to put all of your data to work. When your data is distributed across Snowflake and other sources, it can be complex to unify data access. Learn how Dremio helps you drive analytic insight across all your data, gaining the fastest insight from Snowflake, the data lake, and everywhere.
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Episode 49
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April 16, 2024
What’s New in Dremio: New Capabilities for the Best Apache Iceberg Lakehouse
Join our upcoming webinar to discover the new Dremio capabilities designed to make your Apache Iceberg data lakehouse the most efficient, scalable, and manageable platform for analytics and AI. We’ll cover enhancements for data ingestion, data processing, and data optimization aimed at helping you achieve the fastest, most scalable, and easiest to use lakehouse for all of your data.
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Episode 48
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March 26, 2024
Understanding the Dremio Data Lakehouse
Join this session and learn a comprehensive talk that delves into the evolution of data analytics, culminating in the data lakehouse model with Dremio at its core. The session will feature a live demonstration of Dremio's capabilities, showcasing how it streamlines the journey from data storage to insightful analysis, thereby facilitating a win-win scenario for data engineers and analysts alike.
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Workshop: 1
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March 18, 2024
Getting Started with Dremio: Build a Data Lakehouse on your Laptop
Want to experience Data Lakehouse architecture? Join us and build a data lakehouse on your laptop in this exciting workshop.
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Episode 47
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March 5, 2024
Learn how to reduce your Snowflake cost by 50%+ with a lakehouse
Join Alex Merced, Developer Advocate at Dremio to explore the future of data management and discover how Dremio can revolutionize your analytics TCO, enabling you to do more with less.
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Episode 46
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February 29, 2024
Getting Started with Dremio
Dremio’s unified lakehouse platform for self-service analytics enables data consumers to move fast while also reducing manual repetitive tasks and ticket overload for data engineers.
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Episode 45
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February 20, 2024
Next-Gen Data Pipelines are Virtual: Simplify Data Pipelines with dbt, Dremio, and Iceberg
Learn how to streamline, simplify, and fortify your data pipelines with Dremio's next-gen DataOps, saving time and reducing costs. Gain valuable insights into managing virtual data pipelines, mastering data ingestion, optimizing orchestration with dbt, and elevating data quality.
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Episode 44
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January 30, 2024
How S&P Global is Building an Azure Data Lakehouse with Dremio
Join us in this webinar and learn how S&P Global built an Azure data lakehouse with Dremio Cloud for FinOps analysis. If you are looking for ways to eliminate expensive data extracts in BI cubes, then this will be a great episode to check out.
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Episode 43
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January 16, 2024
Empowering Analytics: Unleashing the Power of Dremio Cloud on Microsoft Azure
Companies are struggling with the complex, brittle, and expensive nature of the data lifecycle in existing analytical environments. Dremio is announcing the availability of Dremio Cloud on Microsoft Azure, providing companies the ability to simplify and optimize their analytical environment.
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Episode 42
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December 19, 2023
What’s new in Dremio: New Gen-AI capabilities, advances for 100% query success, plus now on Azure
Learn what’s new in Dremio - and how you can accelerate self-service analytics at scale - including new Gen AI capabilities, Dremio Cloud SaaS on Microsoft Azure, advances to ensure 100% query reliability, and expanded Apache Iceberg capabilities to streamline Iceberg adoption and improve performance.
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Episode 41
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December 5, 2023
ZeroETL & Virtual Data Marts: The Cutting Edge of Lakehouse Architecture
Join us for an enlightening talk on "ZeroETL & Virtual Data Marts: The Cutting Edge of Lakehouse Architecture." In this session, we'll explore the pains of data engineering, unveil innovative solutions, and guide you through practical implementation with tools like Dremio and DBT. Transform your data landscape!
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Workshop
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November 14, 2023
Hands-on Workshop: Build an Iceberg Lakehouse in 60 Minutes with Dremio Cloud
Led by Mark Hoerth, Escalations Engineer, this workshop will guide you through the process of creating tables in your Iceberg catalog, ingesting Iceberg Tables into Amazon S3, creating a clean data product, enabling governed self-service for your organization, and ultimately querying the data through our SQL Runner and a BI Tool.
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Episode 40
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November 7, 2023
How Dremio provides you fast and easy data access while saving you money?
Discover how Dremio revolutionizes data access, offering speed, simplicity, and cost savings. Join us to explore real-world use cases and optimize your data infrastructure!
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Episode 39
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October 31, 2023
How To Build an Iceberg Data Lakehouse with Fivetran and Dremio
Learn how to build an Iceberg data lakehouse with Fivetran and Dremio
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Episode 38
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October 24, 2023
Building a Data Science Platform on Apache Iceberg and Nessie
Discover the future of data science and machine learning pipelines with Jacopo Tagliabue of Bauplan Labs in this webinar. Learn why modern data platforms are embracing Apache Iceberg and Nessie, and explore the transformative benefits of Nessie's git-like features for data management.
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Episode 37
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October 17, 2023
How NetApp is Redefining the Customer Experience with Product Analytics
Learn how NetApp uses product analytics to provide a better customer experience
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Workshop
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October 10, 2023
Build an Iceberg Lakehouse Workshop: 60-Minute Challenge
Led by Isha Sharma, Senior Director of Product Management, this workshop will guide you through the process of ingesting Iceberg Tables into Amazon S3, creating a clean data product, enabling governed self-service for your organization, and ultimately querying the data through our SQL Runner and a BI Tool.
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Episode 36
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October 10, 2023
Simplify Lakehouse Operations with Zero-Copy Clones and Multi-Table Transactions
Join this session to learn how Dremio Arctic, a lakehouse management service, enables data teams to deliver a consistent and accurate view of their data lake with zero-copy clones of production data and multi-table transactions.
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Episode 35
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October 3, 2023
Your Lakehouse Just Got Gnarlier: What’s New in Dremio, including Next Gen Reflections
Learn what’s new in Dremio - and how you can accelerate self-service analytics at scale - including Generative AI text-to-SQL capabilities, even faster analytics and better query performance, our new native Apache Iceberg catalog, Arctic, and more.
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Episode 34
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September 26, 2023
Materialized Views and Dremio Reflections
Unravel the intricacies of materialized views and Dremio's Data Reflections in our upcoming webinar. Delve into their distinct features, advantages, and how they shape modern data acceleration.
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Episode 33
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September 19, 2023
The Who, What and Why of Data Lakehouse Table Formats
Dive into the transformative world of Data Lakehouse table formats, exploring Apache Iceberg, Delta Lake, and Apache Hudi. Learn their pivotal roles in reshaping data storage, analytics, and the unparalleled advantages they offer.
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Episode 32
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September 12, 2023
Introduction to Dremio Arctic: Catalog Versioning and Iceberg Table Optimization
Join this webinar for an introduction to Dremio Arctic, a data lakehouse management service that features easy catalog versioning with data as code and automatic optimization for your Apache Iceberg tables. Learn how Arctic helps data teams deliver a consistent, accurate, and high quality view of their data to all of their data consumers with a no-copy architecture.
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Episode 31
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September 6, 2023
ELT, ETL and the Dremio Data Lakehouse
Unlock the potential of data engineering in our "ELT, ETL & the Dremio Data Lakehouse" webinar! Discover how Dremio's no-copy architecture revolutionizes ETL & ELT patterns, optimizing data processing and cutting costs.
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Episode 30
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August 29, 2023
Unlock the Potential of Data Analytics with Dremio and DuckDB
Learn how to leverage cutting edge technologies like Dremio and DuckDB together to push your data lakehouse to new heights.
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Episode 29
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August 22, 2023
Simplify data governance at scale across all your data
Learn about the benefits of versioning in integrating and deploying new data, and the differences between file, table and catalog versioning.
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Episode 28
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August 8, 2023
Gnarly Data Waves: Apache Iceberg Office Hours
Get all your Apache Iceberg questions answered at Apache Iceberg office hours. Questions on architecture, migration and anything else are welcomed!
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Episode 27
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August 1, 2023
How Maersk is Building A Next Gen Data Lakehouse with Dremio
Learn how Mearsk is building the next generation data platform for unified analytics on Dremio’s Open Data Lakehouse
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Episode 26
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July 25, 2023
Versioning Data in the Data Lakehouse (File, Table and Catalog Versioning)
Learn about the benefits of versioning in integrating and deploying new data, and the differences between file, table and catalog versioning.
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Episode 25
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July 18, 2023
Building a Data Lakehouse on Azure Data Lake Storage
Learn about building a data lakehouse on Azure Data Lake Storage (ADLS) with Microsoft and Dremio.
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Episode 24
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July 11, 2023
Simplifying Data Mesh with Dremio’s Open Data Lakehouse
Learn more about getting started with data mesh and delivering unified data access with Dremio’s open data lakehouse.
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Episode 23
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June 27, 2023
Getting Started With Dremio Data Reflections
For analytical workloads, data teams today have various options to choose from in terms of data warehouses and lakehouse query engines. To enable self-service, they provide a semantic layer for end users, usually with materialized views, BI extracts, or OLAP cubes. The problem is, this process creates data copies and requires end users to understand the underlying physical data model.
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Episode 22
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June 20, 2023
Dremio and Data Lakehouse Table Formats (Apache Iceberg, Delta Lake and Apache Hudi & Dremio)
Learn about how Dremio’s Lakehouse Platform can work with different Lakehouse formats at this presentation.
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Workshop
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June 20, 2023
Workshop: Build an Iceberg Lakehouse in 60 Minutes
In this hands-on workshop you’ll get hands-on with Dremio Cloud and rapidly build an Iceberg Lakehouse. Isha Sharma, Senior Director of Product Management, will walk you through ingesting Iceberg Tables into Amazon S3, creating a clean data product, enabling governed self-service for the business, and ultimately querying the data from our SQL Runner and a BI Tool.
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Episode 21
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June 13, 2023
Data as Code with Dremio Arctic: ML Experimentation & Reproducibility on the Lakehouse
In this episode of Gnarly Data Waves, we will discuss how Dremio Arctic and data as code enable data science use cases like Machine learning experimentation and reproducibility on a consistent view of your data in a no-copy architecture.
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Episode 20
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June 6, 2023
What’s New in the Apache Iceberg Project: Version 1.2.0 Updates, PyIceberg, Compute Engines
In this episode of Gnarly Data Waves, Dremio’s Developer Advocate, Dipankar will highlight some of the key new capabilities that have been added to the Apache Iceberg project in the version 1.2.0 along with discussions around compute engines & the PyIceberg Python library.
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Episode 19
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May 31, 2023
Data Mesh In Practice: Accelerating Cancer Research with Dremio’s Data Lakehouse
Memorial Sloan Kettering Cancer Center (MSK) is the largest private cancer center in the world and has devoted more than 135 years to exceptional patient care, innovative research, and outstanding educational programs. Today, MSK is one of 52 National Cancer Institutes designated as Comprehensive Cancer Centers, with state-of-the-art science flourishing side by side with clinical studies and treatment.
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Episode 18
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May 23, 2023
Best Practices for Modernizing Your Hadoop Workloads to AWS with Dremio
Many companies turned to HDFS to address the challenge of storing growing volumes of semistructured and unstructured data, and find themselves with a two-tiered data architecture and siloed data. In this session, learn how to easily and seamlessly modernize with a data lakehouse architecture on AWS while maintaining business continuity for critical analytic workloads.
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Episode 17
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May 16, 2023
Unified Access for Your Data Mesh: Self-Service Data with Dremio’s Semantic Layer
Data silos and a lack of collaboration between teams have been long-standing challenges in data management. This is where data mesh comes into play as an architectural and organizational paradigm, providing an solution by enabling decentralized teams to work collaboratively and share data in a governed manner across the enterprise.
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Episode 16
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May 9, 2023
Easy Data Lakehouse Management with Dremio Arctic’s Automatic Data Optimization
Join this episode of Gnarly Data Waves to learn how Dremio Arctic makes data lakehouse management easy with automatic data optimization. See how these features ensure high performance analytics and optimal resource consumption for enterprise data volumes.
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Episode 15
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May 2, 2023
Dremio: Data Lakehouse Quick Start
As organizations strive to provide value faster to end users, data silos makes it difficult to provide insights on time. Learn how Dremio’s data lakehouse accelerate data delivery and discovery, without copies.
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Episode 14
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April 25, 2023
Enabling data mesh with Dremio Arctic and Data as Code
This webinar will explore how businesses adopting a data mesh architecture can leverage the data as code capabilities of Dremio Arctic to easily build, manage, and share data products across their organizations.
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Episode 13
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April 18, 2023
Making the Move: Five Factors to Consider When Migrating from Hadoop to the Data Lakehouse
Join Donald Farmer, Principal at TreeHive Strategy, and Tony Truong, Senior Product Marketing Manager at Dremio, as they discuss the five key considerations that organizations should take into account when migrating from Hadoop to the data lakehouse.
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Episode 12
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April 11, 2023
How to Modernize Hive to the Data Lakehouse with Dremio and Apache Iceberg
We all want to overcome the many challenges we find with data drift, infra costs and performance. In this talk we’ll discuss the path to taking your hadoop based data lake and using Dremio and Apache Iceberg to modernize it into a full blown data lakehouse that will simplify workflows, increase performance and lower costs.
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Episode 11
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April 4, 2023
Apache Iceberg Office Hours: Gnarly Data Waves
Get all your Apache Iceberg questions answered at Apache Iceberg office hours. Questions on architecture, migration and anything else are welcomed!
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Episode 10
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March 28, 2023
Optimizing Data Files in Apache Iceberg: Performance strategies
Optimized query speed is a must when processing 100s of petabytes of data on the data lake, especially when data grows over time. Join Dremio’s Developer Advocate, Dipankar Mazumdar as he walks through the various performance strategies available in Apache Iceberg.
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Episode 9
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March 21, 2023
Build your open data lakehouse on Iceberg with Fivetran and Dremio
Join Fivetran’s Coral Trivedi and Dremio’s Brett Roberts to learn how you can use Fivetran and Dremio to build and query your data lake with Apache Iceberg Tables.
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Episode 8
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March 14, 2023
Managing your data as code with Dremio Arctic
Join Dremio’s Anushka Anand and Alex Merced as they discuss the emergence of data as code, its impact on data management, and how it can be used to deliver a consistent and accurate view of data in the data lake.
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Episode 7
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February 21, 2023
Getting Started with Hadoop Migration and Modernization
Data teams inheriting on-prem Hadoop face bottlenecks with the high cost of infrastructure and operational overhead. Join the latest episode of Gnarly Data Waves and learn how modernizing Hadoop to the data lakehouse with Dremio solves these challenges.
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Episode 6
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February 14, 2023
Total Economic Impact of the Data Lakehouse
As enterprise data platforms look to operate at a more efficient level, they face the pressure to pivot their data management strategies. Join Dremio and Forrester, as we talk about the three-year Total Economic Impact™ of the data lakehouse and quantifiable benefits to productivity across all teams.
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Episode 5
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February 7, 2023
Dive into Data Waves with Apache Iceberg Office Hours
Get all your Apache Iceberg questions answered at Apache Iceberg office hours. Questions on architecture, migration and anything else are welcomed!
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Episode 4
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January 31, 2023
Best Practices for Optimizing Tableau Dashboards with Dremio
Join Nick Brisoux, Senior Director of Product Management at Tableau and Brett Roberts, Principal Alliances Solutions Architect at Dremio, to learn how Dremio helps Tableau users accelerate access to data, including cloud data lakes, and how Dremio can dramatically improve query performance, delivering analytics for every data consumer at interactive speed.
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Episode 3
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January 24, 2023
Dremio: Delta Lake to Iceberg Migration
Iceberg has been gaining wide adoption in the industry as the de facto open standard for data lakehouse table formats. Join Dremio Developer Advocate Alex Merced as we help you learn the options and strategies you can employ when migrating tables from Delta Lake to Apache Iceberg.
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Episode 2
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January 17, 2023
Migrating a BI Dashboard to your Data Lakehouse with Apache Superset and Dremio
Dashboards are the backbone of an organization’s decision-making process. Join Dremio Developer Advocate Dipankar Mazumdar to learn how to easily migrate a BI dashboard (Apache Superset) to your data lakehouse for faster insights.
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Episode 1
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January 10, 2023
Getting Started with Dremio’s Data Lakehouse
Every organization is working to empower their business users with data and insights, but data is siloed, hard to discover, and slow to access. With Dremio, data teams can easily connect to all of their data sources, define and expose the data through a business-friendly user experience, and deliver sub-second queries with our query acceleration technologies.
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Accelerating Data Products With Reflections
Say goodbye to manual tuning. Autonomous Reflections optimize query performance in real time—no intervention required. Join Dremio experts to see how this game-changing feature boosts speed, reduces costs, and simplifies data management.
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