07/17/2024 | Press release | Distributed by Public on 07/17/2024 08:19
With recent developments in the data ecosystem, such as Databricks' acquisition of Tabular and Snowflake's introduction of the Polaris Catalog, many are questioning the implications of Iceberg on data management, particularly in BI, ML and GenAI.
Community-driven standardization on table formats. Apache Iceberg is a community-driven project with contributors from major companies like Apple, AWS, Alibaba and Netflix. It promises a development environment for high-performance and large-scale analytics free from single-vendor constraints. It has emerged as the leader in modern table formats, providing enterprises with ownership and flexibility in data storage.
Engine-layer excellence. Central to this evolution is the partnership between Iceberg and OS Trino, which is driving innovation in SQL query engine technology. Originally conceived at Netflix, this architecture, known as Icehouse, is deployed across on-premises, hybrid and multicloud environments and has been adopted by industry giants like Pinterest, Apple and many others.
Gradual transition to modern architecture. Transitioning to Iceberg from legacy formats is a gradual process, requiring robust platform support. The Dell Data Lakehouse addresses this need, facilitating data architecture transitions with minimal disruption. Lakehouses and lake storage offer unprecedented performance at scale and lower costs. The standardization of Iceberg makes the case for this transition to Lakehouse even more compelling, due to its flexibility and compatibility with future industry changes.
AI's inexhaustive demand for data. The growth of AI has created an even greater need for high-quality data. Lakehouses keep data zones inside a single platform, reducing data duplication and data movement, thereby eliminating data silos, and increasing data quality. Iceberg's features such as snapshot maintenance, schema evolution and time travel are critical for developing and maintaining sophisticated data pipelines to continually feed LLM tuning and RAG workflows.
For the first time in over 40 years of data warehousing history, the industry recognizes the importance of providing enterprises optionality by storing data in open formats, like Iceberg, within an object storage-based lake. The Dell Data Lakehouse, which includes a powerful query engine powered by Starburst and leverages the Icehouse architecture of OS Trino and Iceberg, is a groundbreaking solution that addresses modern data management and analytics needs.
Here's why it stands out:
Amidst rapid industry evolution, the Dell Data Lakehouse emerges as a leader in data management, analytics, ML and GenAI across hybrid environments. This architectural design represents a transformative leap forward, ensuring organizations stay ahead in today's data-driven world.
To get a full, hands-on experience, visit the Dell Demo Center to interactively explore the Dell Data Lakehouse with labs hand-picked for you by Dell Technologies' experts. You can also contact your Dell account executive to explore the Dell Data Lakehouse for your data needs.