Gnarly Data Waves by Dremio

So you want to base your data lakehouse around Apache Iceberg to take advantage of its features, performance and vast ecosystem of platform/tool compatibility. You’ll need to take your current Hive tables and convert them to Iceberg. Iceberg offers several tools to do so depending on your needs and in this video we’ll explore that migration process. - How to do an in-place migration and avoid rewr...

Listen to Dremio's developer advocacy and engineering teams for an installment of Apache Iceberg Office Hours. During this time we’ll have a brief Iceberg presentation on Hidden Partitioning and Partitioning transforms in Iceberg and then lots of dedicated time for Q&A on the presented topic or any other questions or guidance you’re looking for help on in learning about Apache Iceberg or a...

Querying 100s of petabytes of data demands optimized query speed specifically when data accumulates over time. We have to ensure that the queries remain efficient because over time you may end up with a lot of small files and your data might not be optimally organized. In this video, Dipankar will cover: Apache Iceberg table format Problems in the data lake: small files, unorganized files Techniqu...

The data lakehouse is quickly emerging as the ideal data architecture because it combines the flexibility and scalability of data lakes with the data management, data governance, and data analytics capabilities of data warehouses. Table formats bring many of the “house” features to the data lakehouse. Apache Iceberg is a truly open table format that is built for easy management and high performanc...

As data lakes become the primary destination for growing volumes of customer and operational data, data teams need tools and processes that ensure data quality and consistency across data consumers and use cases. Join Dremio’s Jeremiah Morrow and Alex Merced as they discuss the emergence of data as code for data management, its benefits for data teams, and how Dremio customers are using it to deli...

Most companies use Hadoop for big data analytical workloads. The problem is, on-premises Hadoop deployments have failed to deliver business value after it is implemented. Over time, the high cost of operations and poor performance places a limitation on an organization’s ability to be agile. As a result, data platform teams are looking to modernize their Hadoop workloads to the data lakehouse. In...

As enterprise data platforms look to operate at a more efficient level, they face the pressure to pivot their data management strategies. The increasing volume of data, demand for self-service analytics that meets compliance requirements, and complexity of data distribution channels are all factors to consider when making a business case.  In this video, we will cover the three-year Total Eco...

Join the Dremio developer advocacy and engineering teams for an installment of Apache Iceberg Office Hours. In this video, we’ll have a brief Iceberg presentation on Hidden Partitioning and Partitioning transforms in Iceberg and then lots of dedicated time for Q&A on the presented topic or any other questions or guidance you’re looking for help on in learning about Apache Iceberg or architecti...

Tableau is a visual analytics platform that helps more people in organizations see and understand their data. Dremio helps Tableau users accelerate access to data, including cloud data lakes, and it can dramatically improve query performance, delivering analytics for every data consumer at interactive speed.   In this video, we'll cover: - how the Dremio open data lakehouse connects Tabl...

Iceberg has been gaining wide adoption in the industry as the defacto open standard for data lakehouse table formats. Join us as we help you learn the options and strategies you can employ when migrating tables from Delta Lake to Apache Iceberg. We’ll cover: Why migrate to Apache Iceberg How to do an In-place migration and avoid rewriting files How to do a shadow migration Best practices PRESENTAT...

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. PRESENTATION ON YOUTUBE: https://youtu.be/1oG1WPlWthc Blog on Migrating to a Superset Dashboard:  https://www.dremio.com/blog/5-easy-steps-to-migrate-an-apache-supe...

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. PRESENTATION ON YOUTUBE: https://youtu...