Overview
LakeHouse Migration
LakeHouse Migration (LHM) is Alibaba Cloud's all-in-one, proprietary solution designed to orchestrate and simplify the end-to-end migration of data platforms across different cloud platforms and on-premises environments. LHM provides a comprehensive suite of capabilities, including multi-engine cluster discovery, incremental metadata sync, large-scale data lake migration, structured data replication, automated SQL and workflow translation, and data verification. Monitor sync jobs and track platform drift in real-time through an intuitive dashboard to visually orchestrate your entire lakehouse technology stack migration.
Accelerate Your Alibaba Cloud Migration with LHM
- Get a complete and detailed assessment of your entire lakehouse environment. We catalog everything from storage and compute resources to metadata schemas and runtime instances to provide a data-driven foundation for your migration. Accurately identifies changes in the source cluster through periodic, full-asset diff comparisons and real-time monitoring of incremental metadata changes. This ensures your migration plan is always up-to-date.
- Facilitates the migration of Lakehouse metadata, data, and storage files between clusters, offering integrated task management, observability, and reporting throughout the migration process.
- Supports automated migration of SQL tasks from 10+ heterogeneous lakehouse engines to Alibaba Cloud. It converts OLAP and Data Warehouse SQL, analyzes table lineage and context, and generates optimization strategies to enhance compatibility and execution performance.
- Supports end-to-end migration from source big data platforms to Alibaba Cloud scheduling engines. This includes converting workflows, multi-type nodes, and resources from open-source or proprietary engines, with flexible conversion rule definition.
- Delivers comprehensive, multi-layered data validation for dual-end comparisons. It offers various methods including record count, metrics, full-row comparison, custom SQL, and null rate checks, supported by detailed visual reports for in-depth analysis.
- By visualizing the data lineage and flow paths throughout the full lifecycle, users can rapidly pinpoint root causes, trace quality anomalies, and ensure data compliance and auditability.
Case Study
Mekari
As Indonesia's top SaaS provider, Mekari delivers cloud-powered business management solutions, empowering over 35,000 enterprises and one million application users since its inception in 2015. Through a strategic alliance with Alibaba Cloud, Mekari has realized significant operational enhancements: a 50% boost in service performance, driven by an integration that supercharged workflows and created a better user experience; a 30% reduction in operating costs, made possible by the efficient spend optimization of Alibaba Cloud’s flexible pricing model; and a massive 60% drop in latency by using local data centers, resulting in faster customer access, lightning-fast query processing, and a radically improved overall user experience.
Documentation
Data source management
Data sources define connections to various big data storage systems, compute clusters, and scheduling engines.
SQL Conversion
Modernize your analytics stack by automatically converting SQL code from over ten heterogeneous data lake and warehouse engines to Alibaba Cloud's native SQL. Our engine analyzes table lineage and context to generate optimization recommendations, boosting compatibility and query performance.
Data Verification
Ideal for a wide range of scenarios, including data integration, platform migration, validation for job refactoring, parallel runs, and pre-cutover readiness checks.
Workflow Migration
Seamlessly migrate workflows from open-source and other cloud scheduling engines to DataWorks.
