Best Data Lake Solutions
In an effort to speed up the deployment of AI across industries, Huawei unveiled the AI Data Lake Solution on April 2025, at the 4th Huawei Innovative Data Infrastructure (IDI) Forum in Munich, Germany. The solution was presented in his keynote address by Peter Zhou, Vice President of Huawei and President of the Huawei Data Storage Product Line: “Data Awakening, Accelerating Intelligence with AI-Ready Data Infrastructure.”
One thing hasn’t changed despite the decades-long evolution of digital transformation: the crucial significance of data. Zhou stressed this in his speech: “Be Al-ready by getting data-ready. The process of turning data into knowledge and information is what drives the ongoing deepening of industry digitalization.
The AI Data Lake Solution enables businesses to adopt AI by combining data storage, data management, resource management, and the AI toolchain. This results in a high-quality AI corpus and expedites model training and inference.
Zhou gave specifics about the technology and products that make up the Data Lake solution in his speech:
Data storage: continuous innovation in performance, capacity, and resilience
Faster training and inference of AI models: The Huawei OceanStor A series of high-performance AI storage offers outstanding performance. For example, it made it possible for iFLYTEK, a developer of AI technologies, to greatly increase the effectiveness of cluster training. Its cutting-edge inference acceleration solution speeds up the deployment of large-model inference applications in commercial settings by improving inference performance, lowering latency, and improving the application user experience.
Effective mass AI data storage: The OceanStor Pacific All-Flash Scale-Out Storage has an ultra-low power consumption of 0.25 W/TB and a high capacity density of 4 PB/2 U. It is ideal for data-intensive tasks in media, scientific research, education, and medical imaging since it is made to easily handle exabyte-scale data.
AI corpus and vector database backup: Huawei’s Ocean Protect Backup Storage protects important data of training corpus and vector databases in industries like oil and gas and MSPs. It offers 10 times better backup performance than other popular options and boasts 99.99% ransomware attack detection accuracy.
- Data management: data visibility, manageability, and mobility across regions
In order to assist clients in removing data silos in globally scattered data centers, Huawei DME is a data management platform that incorporates the Omni-Dataverse. Additionally, clients may handle data more effectively and realize its full potential with DME’s capacity to access data from over 100 billion files in a matter of seconds.
- Resource management: pooling of diverse xPUs and intelligent scheduling of AI resources
The DCS platform increases resource usage through intelligent scheduling and effective xPU resource pooling, which are made possible by virtualization and container technologies. Additionally, the DataMaster in DME makes it possible for all-scenario, AI-powered O&M with AI Copilot. This creates an outstanding O&M experience by providing a variety of AI applications, including intelligent Q&A, O&M assistant, and inspection expert.
Data Lake Solution Architecture
The design of a data lake solution serves as a central repository for handling and storing enormous volumes of data in its unprocessed, undefined nature. Flexible processing and analysis of structured, semi-structured, and unstructured data from several sources is made possible by this. Ingestion, data cataloging, storage, and governance are important elements.
The following are essential elements of a data lake solution architecture:
- Data Ingestion: Data from several sources is extracted, transformed, and loaded (ETL) into the data lake using this layer. Data integrity may be ensured by validation, schema translation, and data cleansing.
- Storage: Data is kept in its original, unprocessed state, usually as blobs or files. This permits flexibility in the analysis and usage of data.
- Data Cataloguing: Finding, managing, and governing data within the lake is made possible by this layer. Classification and tagging of metadata facilitate effective data management and retrieval.
- Compute/Processing: With the help of tools like Apache Spark or cloud-based services, this layer offers the foundation for data processing and analysis inside the lake.
- Data Presentation: Usually through selected views or dashboards, this layer concentrates on getting data ready for business users.
Principal Themes
In order to solve the difficulties in exploiting data for AI and hasten the adoption of AI across a range of industries, Huawei has introduced a new AI Data Lake solution that integrates AI, storage, data, and resources.
Data as the Foundation for AI
The main takeaway is that in order to be “AI-ready,” one must first be “data-ready.” The solution takes care of the basic requirement for easily available, high-quality data to support AI projects. Get data-ready to be Al-ready. The process of turning data into knowledge and information is what drives the ongoing deepening of industry digitalization.
Accelerating AI Adoption Across Industries
By offering a complete platform for better data preparation, model training, and inference application deployment, the solution is positioned to help businesses adopt AI.This is highlighted by the assertion that the solution is “designed to accelerate AI adoption across industries.”
Integration of Key Components
The AI Data Lake Solution is an integrated offering that combines resource management, data storage, data management, and the AI toolchain. It is not a single product. The goal of this integrated approach is to make creating and overseeing Artificial Intelligence(AI) workflows easier.
Addressing Data Challenges
The solution attempts to address common data issues that businesses have, like data silos (which are resolved by data management) and the requirement for effective handling of large datasets (which is resolved by high-capacity storage).
In Conclusion
An important step toward assisting businesses in optimizing the value of their data in the AI era was taken by Huawei with the announcement of the AI Data Lake Solution at the IDI Forum 2025. Huawei offers a strong, future-ready infrastructure by implementing a unified architecture, the Omni-Dataverse file system, AI-powered O&M via DataMaster, and energy-efficient storage solutions. By enabling enterprises to dismantle data silos, improve data mobility, optimize processes, and accommodate AI workloads, this solution opens the door to a more intelligent, environmentally friendly, and flexible digital transformation.