Watch and learn about Apache Iceberg. A 10 part web series designed to help you master Apache Iceberg. https://hello.dremio.com/webcast-an-apache-iceberg-lakehouse-crash-course-reg.html?utm_medium=social-free&utm_source=youtube&utm_content=webcast-gdw-se-the-architecture-of-apache-iceberg-apache-hudi-and-delta-lake-intro&utm_campaign=webcast-gdw-se-the-architecture-of-apache-iceberg-apache-hudi-and-delta-lake-intro The "An Apache Iceberg Lakehouse Crash Course" an in-depth webinar series designed to provide a comprehensive understanding of Apache Iceberg and its pivotal role in modern data lakehouse architectures. Over the course of ten sessions, you'll explore a wide range of topics: - foundational concepts like data lakehouses - table formats to advanced features such as partitioning, optimization, and streaming with Apache Iceberg - Each session will offer detailed insights into the architecture and capabilities of Apache Iceberg, alongside practical demonstrations of data ingestion using tools like Apache Spark and Dremio.

As the demand for data analytics grows, and with a decentralized approach at its core, Major Swedish manufacturer Scania needed to balance domain autonomy and alignment, while implementing a self-serve data & governance platform, coupled with a unified way of accessing data. Discover how Scania addressed these challenges by adopting a data mesh strategy, and how using Dremio and Witboost has facilitated their journey. Learn about the cultural shifts, changes, and partnerships that are driving tangible business impacts. Additionally, gain insights and trends from Dremio’s Field CDO and the co-founder and CTO Witboost. Ready to Get-Started: https://www.dremio.com/get-started/?utm_medium=website&utm_source=youtube&utm_content=gdw-od&utm_campaign=gdw-ep51 See all upcoming episodes and past episodes: https://www.dremio.com/gnarly-data-waves/?utm_medium=website&utm_source=youtube&utm_content=gdw-od&utm_campaign=gdw-ep51 Connect with us! Community Forum: https://bit.ly/2ELXT0W Github: https://bit.ly/3go4dcM Blog: https://bit.ly/2DgyR9B Questions?: https://bit.ly/30oi8tX Website: https://bit.ly/2XmtEnN Resource: https://www.dremio.com/resources/?utm_medium=website&utm_source=youtube&utm_content=gdw-od&utm_campaign=gdw-ep51 Events: https://www.dremio.com/events/?utm_medium=website&utm_source=youtube&utm_content=gdw-od&utm_campaign=gdw-ep51

Join us for a captivating recap of Subsurface 2024—the leading conference at the intersection of data engineering, open source technology, and modern data architecture. This webinar will distill: - highlights of the conference, - curated clips of inspiring keynotes, - insightful discussions on real-world data lakehouse implementations by industry leaders such as Nomura, NetApp, and Blue Cross. - and deep dives into the transformative potential of open source projects like Apache Iceberg, Apache XTable, and Ibis. Whether you missed the conference or want to revisit its most impactful moments, this webinar offers a unique opportunity to stay ahead of the curve in the rapidly evolving data landscape. Don't miss this chance to gain valuable insights from the experts and innovators who are shaping the future of data. - Article on Dremio Auto-Ingest: https://www.dremio.com/blog/introducing-auto-ingest-pipes-event-driven-ingestion-made-easy/ - Article on Dremio and Hybrid Data Lakehouses (Vast, Netapp, Minio): https://www.dremio.com/blog/3-reasons-to-create-hybrid-apache-iceberg-data-lakehouses/ --------------------------------------------------------------- Get Hands-on with the Data Lakehouse ---------------------------------------------------------------- - Apache Iceberg Lakehouse on your Laptop: https://bit.ly/am-dremio-lakehouse-laptop - SQLServer to Iceberg to Dashboard: https://bit.ly/am-sqlserver-dashboard - MongoDB to Iceberg to Dashboard: https://bit.ly/am-mongodb-dashboard - Postgres to Iceberg to Dashboard: https://bit.ly/am-postgres-to-dashboard - MySQL to Iceberg to Dashboard: https://bit.ly/am-dremio-mysql-dashboard - Elasticsearch to Iceberg to Dashboard: https://bit.ly/am-dremio-elastic - Apache Druid to Iceberg to Dashboard: https://bit.ly/am-druid-dremio - JSON/CSV/Parquet to Iceberg to Dashboard: https://bit.ly/am-json-csv-parquet-dremio - From Kafka to Iceberg to Dremio: https://bit.ly/am-kafka-connect-dremio - Lowering Snowflake Costs with Dremio: https://bit.ly/am-dremio-snowflake-spend

Dremio is making it easier than ever to build and manage an Apache Iceberg data lakehouse. Mark Shainman will share the new Dremio capabilities that help you achieve the fastest, most scalable, and easiest-to-manage lakehouse for analytics and AI. In this video you’ll learn how: - Dremio can help you accelerate Apache Iceberg adoption with seamless ingest - Enhanced Reflections query acceleration can optimize performance and streamline management - New capabilities continue to improve reliability, stability and scalability - Dremio is delivering new capabilities to increase observability for ease of administration and management

We will embark on a journey that begins with a brief history of data analytics, tracing its development through the advent of the data lakehouse concept. This exploration sets the stage for a deeper understanding of the unique position Dremio occupies within this ecosystem, highlighting its innovative approach to bridging the gap between vast data lakes and the analysts striving to extract actionable insights. The core of this presentation features a live demonstration, showcasing the end-to-end process of data connection and evaluation within the Dremio platform. Attendees will witness firsthand how Dremio facilitates a seamless flow of data from storage in data lakes to its transformation into a format ready for analysis, ultimately culminating in the delivery of valuable insights to analysts. This demonstration not only illustrates Dremio’s capabilities but also emphasizes its role in enabling a win-win scenario for both data engineers and analysts, by simplifying access to data and enhancing the efficiency of the analytics process. In this video, we’ll cover: - A short overview of the power of Dremio - What is a semantic layer and why you need it - Why Dremio is faster than anything else Watch to gain a deeper understanding of the Dremio Data Lakehouse and discover how it can revolutionize your approach to data analytics, from enhancing data accessibility to streamlining the journey from raw data to actionable insights.

Ready to revolutionize your data management approach and learn how to maximize your environment with Dremio? Watch Alex Merced in this workshop where he’ll guide you step-by-step through building a lakehouse on your laptop with Dremio, Nessie and Minio. This is a great opportunity to try out many of the best features Dremio offers. You'll learn how to: - Read and write Apache Iceberg tables on your object storage, cataloged by Nessie, - Create views in the semantic layer, - And much more GDW Community Edition Workshop Description: This hands-on workshop, participants will embark on a journey to construct their very own data lakehouse platform using their laptops. The workshop is designed to introduce and guide participants through the setup and utilization of three pivotal tools in the data lakehouse architecture: Dremio, Nessie, and Apache Iceberg. Each of these tools plays a crucial role in enabling the flexibility of data lakes with the efficiency and ease of use of data warehouses aiming to simplify and economize data management. You will start by setting up a Docker environment to run all necessary services, including a notebook server, Nessie for catalog tracking with Git-like versioning, Minio as an S3-compatible storage layer, and Dremio as the core lakehouse platform. The workshop will provide a practical, step-by-step guide to federating data sources, organizing and documenting data, and performing queries with Dremio; tracking table changes and branching with Nessie; and creating, querying, and managing Apache Iceberg tables for an ACID-compliant data lakehouse. Prerequisites for the workshop include having Docker installed on your laptop. You will be taken through the process of creating a docker-compose file to spin up the required services, configuring Dremio to connect with Nessie and Minio, and finally, executing SQL queries to manipulate and query data within their lakehouse. This immersive session aims to not just educate but to empower attendees with the knowledge and tools needed to experiment with and implement their data lakehouse solutions. By the end of the workshop, participants will have a functional data lakehouse environment on their laptops, enabling them to explore further and apply what they have learned to real-world scenarios. Whether you're looking to improve your data management strategies or curious about the data lakehouse architecture, this workshop will provide a solid foundation and practical experience.

Data leaders are navigating the challenging landscape of enabling data-driven customer experiences and enhancing operational efficiency through analytics insights, all while meticulously managing budgets. Organizations leveraging cloud data warehouses, like Snowflake, often grapple with the complexities of unifying data analytics across diverse cloud and on-premise applications. The process involves significant costs, resources, and time to extract, rebuild, and integrate data for consumability. Enter the data lakehouse - offering the potential to drastically reduce the total cost of ownership (TCO) associated with analytics. In this video, you will gain insights into: Key distinctions between traditional data warehouses and the innovative data lakehouse model. How Dremio empowers organizations to slash analytics TCO by over 50%. Uncovering hidden costs associated with data ingestion, storage, compute, business intelligence, and labor. Simplifying self-service analytics through Dremio's unified lakehouse platform. Watch 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.