Introduction: The Data Lake Summit Forum was held in Beijing. Alibaba Cloud announced the launch of the industry’s first cloud-native enterprise-level data lake solution, which provides EB-level data storage and analysis capabilities, and can realize lake storage, lake acceleration, lake management, and lake computing in one stop. , To help companies in-depth mining and analysis of data, insight into the value contained therein, more suitable for artificial intelligence, Internet of Things, autonomous driving and other emerging industries with massive data scenarios
On October 23, the Data Lake Summit Forum was held in Beijing. Alibaba Cloud announced the launch of the industry’s first cloud-native enterprise-level data lake solution, providing EB-level data storage and analysis capabilities, which can realize lake storage, lake acceleration, and lake management in one stop , Lake Computing, to help companies in-depth mining and analysis of data, insight into the value contained therein, is more suitable for artificial intelligence, Internet of Things, autonomous driving and other emerging industries with massive data scenarios.
Chen Qikun, senior director of Alibaba Cloud’s intelligent storage products, said that the cloud-native enterprise-level data lake solution will be applied on a large scale for the first time on Double Eleven this year, supporting Alibaba’s economy and millions of customers to go to the cloud to the greatest extent. Unleash the value of data.
It is reported that the Alibaba Cloud native enterprise-level data lake solution adopts a storage and computing separation architecture, is based on Alibaba Cloud Object Storage OSS, and is built with Alibaba Cloud Data Lake Analytics (DLA), Data Lake Formation (DLF), E-MapReduce (EMR) and other computing engines are seamlessly connected and compatible with a rich open source computing engine ecosystem, which can meet the unified storage of big data systems, the scale of massive data, and is more reliable, flexible, and safer.
The data lake is not a new concept. As early as ten years ago, at the Hadoop conference in New York, someone proposed and defined it: a data lake is to pour what you previously owned on tape into the data lake, and then start to explore the data . With the maturity of big data, cloud storage, and cloud computing, today's data lake has evolved from concept to maturity and has been implemented on a large scale in various enterprises.
Different from traditional big data solutions, the cloud native data lake is based on the next-generation data lake architecture and can be directly connected to the business production center, such as the original data and log data in the business system. Data can enter the lake directly through the Internet, without intermediate processing, improving business efficiency by 100%, and driving enterprise IT systems to transform from a cost center to an innovation center.
Take a well-known social game company in China as an example. Based on the Alibaba Cloud data lake solution, global data is delivered to the OSS unified storage in real time through the log service sls. Using OSS's massive elastic capabilities to layer the hot and cold, build a big data architecture that separates storage and calculations through EMR and DLA, to achieve real-time analysis of intelligent recommendations for tens of millions of daily active player links, real-time channel statistics, and refined operations, helping the company increase by 30% User retention rate. Currently, thousands of companies have built cloud data lakes on Alibaba Cloud.
Li Feifei, vice president of Alibaba Group and head of Alibaba Cloud's Intelligent Database Product Division, believes: “The integration of database and big data is accelerating the scale of data lakes. Cloud-native data lakes allow enterprises to be more flexible, agile, and agile without managing computing resources. Mining the value of data more efficiently and easily, empowering enterprises to quickly iterate and innovate quickly, and make data insights become the core competitiveness of enterprises.
Jia Yangqing, vice president of Alibaba Group and head of the Alibaba Cloud Intelligent Computing Platform Division, said that based on Alibaba Cloud Data Lake OSS and data warehouse MaxCompute, the integrated lake and warehouse solution that enterprises want can be quickly realized, without data transmission, an intelligent flow of data. Calculate across multiple platforms, while enjoying the flexibility of the data lake and the growth of the data warehouse, ensuring the continuity and timeliness of enterprise data business.
"In the digital economy era, if big data is oil and computing power is the engine, then the cloud-native enterprise data lake is a solution that can closely integrate the two. In the near future, the data lake will become the standard for enterprise application innovation and help enterprises Fully realize the transformation of intelligence and digital intelligence." Chen Qikun said.
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