Data Lake Analytics

Data Lake Analytics is a data analytics service that does not require any Extract-Transform-Load (ETL) tools but allows you to use standard SQL interface and business intelligence (BI) tools to cost effectively and efficiently analyze data in the cloud.

Alibaba Cloud Data Lake Analytics (DLA) is an interactive analytics service that utilizes serverless architecture. As a ready-to-use service, DLA does not require any prior setup of infrastructure or upfront management costs. You do not need to maintain instances in DLA, and service is billed based on actual use and needs. DLA uses SQL interfaces to interact with user service clients, which means it complies with standard SQL syntax and provides a variety of similiar functions. DLA allows you to retrieve and analyze data from multiple data sources or locations such as OSS and Table Store for optimatimal data processing, analytics, and visualizualization to give better insights and ultimately guide better decision making.

Benefits

Serverless
Designed as a ready-to-use service, DLA does not require any prior infrastructure setup or upfront management costs. Upgrades to DLA can be performed with zero service downtime. DLA also supports elastic scaling to ensure service quality.
Low Learning Curve
Complies with standard SQL databases and supports a variety of functions such as JDBC and ODBC protocols and BI tools.
Multi Data Sources
Supports multiple data sources. For example, you can perform relational analysis based on OSS and Table Store.
High-performance Analytics
Leverages Alibaba Cloud's XIHE analytics engine and applies Massive Massive Parallel Processing (MPP) to achieve high compression, high scalability, and high availability for end users.

Features

  • Serverless Data Analytics

    Cost Efficient

    DLA costs are based on actual usage, and you do not need to maintain instances. This means the service does not require long-term investment on data analysis.

    Upgrades with Zero Service Downtime

    Based on serverless architecture, you can upgrade DLA with zero service downtime for more agile and rapid product iteration.

  • Synchronous and Asynchronous Modes

    Automated Queries

    You can set SQL queries to asynchronous mode and upload the query results to OSS.

  • Interactive Service

    Fully Compatible with Standard SQL

    Complies with SQL:2003 and provides multiple functions for a better database experience.

    Compatibility with SaaS Services

    Supports standard JDBC and ODBC protocols and seamlessly integrates with multiple cloud services such as Quick BI and DataV.

Scenarios

  • Table Store Data Analysis
  • Support for Heterogeneous Data Sources
Data Analysis

Data Analysis

Enables you to analyze stored data in OSS.

DLA allows you to create tables, query raw data, and then display the query results through Quick BI.

Benefits

  • Quick Analysis

    You can quickly obtain analysis results without building an analysis platform.

  • Cold Data Analysis

    You can analyze infrequently used data (cold data) without needing to use ETL tools.

Table Store Data Analysis

Table Store Data Analysis

Enables you to analyze data stored in Table Store in real-time.

DLA offers an efficient and easy process for you to analyze large amounts of data stored in Table Store.

Benefits

  • Quick Analysis

    You can quickly obtain analysis results without building an analysis platform.

  • OSS Data Analysis

    You can analyze cold data without the need to use ETL tools.

Support for Heterogeneous Data Sources

Support for Heterogeneous Data Sources

You can analyze data stored in Table Store and OSS.

DLA supports heterogeneous data sources. It also enables you to perform association analysis by interworking with OSS and Table Store.

Benefits

  • Relational Analysis

    Supports relational analysis by leveraging both OSS and Table Store.

  • Heterogeneous Data Analysis

    Enables you to analyze heterogeneous data accurately and rapidly.