Gnarly Data Waves by Dremio Alex Merced on Technology

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.

Organizations aim to increase data access and lower the time it takes to gain insights, all while managing governance and controlling rising data costs.

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.

In this Gnarly Data Waves episode, you will learn:
- Overview of Dremio, what is it and why is it growing rapidly
- Proven use cases by some of the most demanding customers in the world
- Demonstration for how to rapidly get started and try it out

Ready to Get-Started: https://www.dremio.com/get-started/?u...

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Traditional ETL processes are notorious for their complexity and cost inefficiencies. Join us as we introduce a game-changing virtual data pipeline approach with Dremio's next-gen DataOps, aimed at streamlining, simplifying, and fortifying your data pipelines to save time and reduce cost.

In this webinar, you'll gain insights into:
- Simplified Data Pipeline Management: How to use Dremio for data source branching, merging, and pipeline automation.
- Mastering Data Ingestion and Access: Learn how to curate data using virtual data marts accessed through a universal Semantic layer.
- Better Orchestration with dbt: Discover the benefits of orchestrating DML and view logic, optimizing data workflows.
- Elevating Data Quality: Learn techniques to automate lakehouse maintenance and improve data integrity.