Data Lake Insight

$215.50

  • Model: D#2268
  • Availability :In Stock
Data Lake Insight is a serverless big data computing and analysis service that is compatible with Apache Spark and Apache Flink ecosystems and implements batch and stream integration. Data Lake Insight supports multi-mode engines. Enterprises can easily complete batch processing, stream...
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Description

  • Data Lake Insight is a serverless big data computing and analysis service that is compatible with Apache Spark and Apache Flink ecosystems and implements batch and stream integration. Data Lake Insight supports multi-mode engines. Enterprises can easily complete batch processing, stream processing, in-memory computing, machine learning, etc. of heterogeneous data sources using only SQL or programs to mine and explore data value.
  • [Product Advantages]:
  • 01. Pure SQL operation: DLI provides a standard SQL interface, and users can query and analyze massive data using only SQL.
  • 02. Storage and computing separation: DLI decouples storage and computing, which reduces costs and improves resource utilization.
  • 03. Free operation and high availability: Users do not need to be aware of the underlying operation and maintenance, upgrades, cross-AZ high availability, and cross-AZ active-active.
  • [Product Features]:
  • 01. All in SQL: No big data background is required, and big data analysis is possible if you know SQL. SQL syntax is fully compatible with standard ANSI SQL 2003.
  • 02. Cross-source analysis: Supports multiple data formats, multiple data sources on the cloud, ECS self-built databases, and offline databases. Data can be analyzed on multiple data sources on the cloud without migration, building a unified view of the enterprise to help enterprises quickly complete business innovation and data value exploration.
  • 03. Enterprise-level multi-tenant: Supports fine-grained authorization management of computing resources and data by tenant, meeting the needs of medium and large enterprises for permission management when using data middle platforms.
  • [Application scenarios]:
  • 1. Applicable scenarios: Application data (such as registration information) exists in a relational database, and you want to analyze the data in the database.
  • 2. Product advantages: (1): Familiar SQL experience. DLI's SQL syntax is fully compatible with the relational database standard ANSI SQL 2003, with zero learning cost and consistent usage habits. (2): Extreme performance. DLI uses a distributed memory computing model to easily process massive data.

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