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Community Blog Streamline Data Management, Storage, and Analysis with Alibaba Cloud Data Lake

Streamline Data Management, Storage, and Analysis with Alibaba Cloud Data Lake

This short article discusses the definition and benefits of data lakes and the Alibaba Cloud Data Lake solution.

What Is a Data Lake?

A data lake is a trending data analytics structure that supports massive amounts of data. It is a kind of centralized library to store structured, semi-structured, and unstructured data in its raw and native format. Data lakes accommodate all types of data, regardless of source, because of their open and scalable architecture.

Typically, raw, cleansed, and curated data files are stored in staged zones to allow different types of users to access them in various forms. The core function of a data lake is to make data consistent across a variety of applications, enabling advanced analytics, machine learning, predictive analytics, and other forms of intelligent action.

Alibaba Cloud Data Lake Solution

The Alibaba Cloud Data Lake solution lets you store, manage, and analyze massively structured, semi-structured, and unstructured stream data to gain insights and break down data silos.

In addition, you can store all types of data as-is, configure rules throughout the data lifecycle to flexibly store hot and cold data in response to changing business needs, and seamlessly integrate your data lake with different computing and AI engines (like MaxCompute, Hologres, DataBricks, Machine Learning Platform for AI, etc.) for unified batch and stream processing.

The Alibaba Cloud Data Lake solution reduces O&M workload and simplifies data development and management through a serverless architecture that supports multiple data analysis scenarios.

As a result of creating a system that combines real-time data processing with offline batch processing in a single programming model, the Alibaba Cloud Data Lake solution removes the operational complexity of code and replaces it with accuracy, consistency, and high performance.

The Alibaba Cloud Data Lake solution allows users to integrate and develop data, catalog, and manage data security and service management for all types of data in a data lake with high durability, backed by an industry-leading SLA.

Features of the Alibaba Cloud Data Lake

  • A Limitless Amount of Storage: A unified storage platform that integrates on-premises and cloud data with low cost and minimal operation and maintenance.
  • A Centralized Management System: Data storage formats that are universally compatible with centralized metadata services enable unified data governance and support various compute engines
  • A Cloud-Native Approach: Containerized compute empowers hyper-scale elasticity and near real-time data analysis by streaming data to a data lake.

Alibaba Cloud Data Lake Architecture

Across an array of layers, the Alibaba Cloud Data Lake solution is based on a cohesive architecture. A wide range of products and tools are available for the integration, storage, and processing of data at each layer.

1

Data Lake Storage Layer

A key feature of Alibaba Cloud Object Storage (OSS) is its industry-leading scalability, durability, and performance. Data can be easily ingested from IoT devices, on-premises environments, and cloud environments into your data lake, and data lifecycle rules can be configured to store hot and cold data in different storage classes based on data access requirements and costs.

The Data Lake Formation Layer

Architects and builds a cloud-native data lake that supports batch and stream data processing and ensures enterprise-level permission control throughout the entire data lifecycle.

Data Lake Computing Layer

Executes user queries, performs advanced data analysis, and extracts business insights from managed data by seamlessly connecting to a variety of computing engines and AI platforms

Data Development and Governance Layer

Based on data computing engines, it provides efficient, secure, and reliable data development and governance services.

Discover How Click2Cloud Can Help You Implement a Data Lake Using the Alibaba Cloud Data Lake Solution

Many users require a data storage and analytics solution that offers more agility and flexibility than traditional data management systems.

Users face numerous challenges when storing data on a data lake, including the migration process, data management, self-service analytics, storage costs, and others.

Click2Cloud provides many of the building blocks required to help customers implement a secure, flexible, and cost-effective data lake. It helps find, process, store, and analyze structured and unstructured data.

As a support service for building data lakes, Click2Cloud enables users to store data on Alibaba Cloud Data Lake, which deploys a highly available, cost-effective data lake architecture coupled with a user-friendly interface for browsing and requesting data sets.

Innovation Factory powered by Click2Cloud offers the most secure, scalable, comprehensive, and cost-effective portfolio of services that enables customers to build their data lake on the Alibaba Cloud and analyze all the data, including IoT data, with multiple analytical approaches, including machine learning.

Innovation Factory helps customers build powerful, high-scale data lakes using Alibaba Storage, which tends to increase their competitive edge.

Conclusion

The Alibaba Cloud Data Lake solution enables users to establish data lake platforms for to transform enterprises' big data. Users can store, manage, and analyze data of all sizes and types in real-time using the Alibaba Cloud Data Lake solution.

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