Basic information:
What is data lake:
A data lake is a storage repository that stores a large amount of raw data in its original format until it is required for analytics applications. A data lake differs from a standard data warehouse in that it stores data in flat architecture, mostly in files or object storage, rather than hierarchical dimensions and tables.
What is FusionInsight:
HUAWEI CLOUD FusionInsight includes MapReduce Service (MRS) for cloud-native data lakes, Data Warehouse Service (DWS), Data Lake Governance Center (DGC), and Graph Engine Service, among other cloud services (GES). Real-time analysis, offline analysis, interactive inquiry, real-time retrieval, multimode analysis, data warehouse, data mart, data access and governance, and graph computing are some of the scenarios available. In short, with one lake for one firm and one lake for one city, the true value of data is finally unlocked.
Now lets have a look at the above description in detail:
MapReduce Service (MRS):
On the cloud, MapReduce Service (MRS) provides enterprise-level large data clusters. Tenants have complete control over clusters and can simply operate Hadoop, Spark, HBase, Kafka, and Storm.
Data Warehouse Service (DWS)
Data Warehouse Service (DWS) is Huawei GaussDB's cloud version, and it's compatible with the standard ANSI SQL 99/2003 and PostgreSQL/Oracle ecosystems, allowing for cutting-edge PB-level big data analysis in a range of sectors.
Data Lake Governance Center (DGC)
Data Lake Governance Center (DGC) is a one-stop data operations platform that drives digital transformation. It allows you to perform many operations, such as integrate and develop data, design data standards, control data quality, create data services, and manage data assets. Incorporating big data storage, computing, and analytical engines, DGC can also be used to construct industry knowledge libraries and help your enterprise build an intelligent end-to-end data system. This system can eliminate your data silos, unify your data standards, accelerate data monetization, and accelerate your enterprise's digital transformation.
The Graph Engine Service (GES:
The Graph Engine Service (GES) allows you to query and analyse graph-structured data based on multiple relationships. It's best for social relationship analysis, suggestions, precision marketing, public opinion and social listening, information communication, and anti-fraud situations that require analysis of rich relationship data.