Map Reduce Service
MapReduce Service
MapReduce Service (MRS) delivers enterprise-grade big data clusters on the cloud, providing tenants with full control over the clusters. With MRS, users can effortlessly run prominent big data components such as Hadoop, Spark, HBase, Kafka, and Storm, ensuring a versatile and powerful environment for managing and processing large-scale data analytics tasks.
Data Warehouse Service
GaussDB(DWS) represents the cloud incarnation of GaussDB, offering compatibility with the standard ANSI SQL 99/2003 as well as the PostgreSQL/Oracle ecosystems. This advanced database solution provides cutting-edge petabyte-level big data analysis capabilities, catering to a diverse range of industries with its robust and versatile features.
Data Lake Insight
Data Lake Insight (DLI) stands out as a serverless big data compute and analysis service, seamlessly compatible with both Apache Spark and Apache Flink ecosystems, supporting batch and streaming processing. Featuring multi-model engines, enterprises can effortlessly utilize SQL statements or programs to execute a wide array of operations, including batch processing, stream processing, in-memory computing, and machine learning across heterogeneous data sources. DLI provides a versatile and efficient solution for diverse data processing needs within a unified and serverless environment.
Cloud Search Service
Cloud Search Service (CSS) is an all-encompassing, fully managed distributed search service fueled by Elasticsearch. Leveraging complete compatibility with Elasticsearch APIs, CSS facilitates comprehensive structured and unstructured data search, statistics, and reporting. With CSS, users can effortlessly construct search boxes, streamlining the process of locating relevant information. Additionally, it enables the establishment of a robust log analysis platform, facilitating the monitoring of service logs and in-depth traffic analysis for enhanced operational insights.
Graph Engine Service
Graph Engine Service (GES) excels in facilitating the querying and analysis of graph-structured data, particularly in scenarios where diverse relationships play a pivotal role. Tailored for applications demanding intricate analysis of rich relationship data, GES proves highly effective in tasks such as social relationship analysis, recommendations, precision marketing, public opinion and social listening, information communication, and anti-fraud initiatives. Its versatility makes it a robust solution for unlocking insights from complex relationships within various domains.
ModelArts
ModelArts serves as a comprehensive one-stop development platform designed for AI developers. Offering features such as data preprocessing, semi-automated data labeling, distributed training, automated model building, and versatile model deployment across devices, edge, and cloud, ModelArts streamlines the AI development process. By providing a suite of tools, it empowers AI developers to efficiently build models, while also offering robust capabilities for managing the complete lifecycle of AI development.
Data Lake Governance Center
Efficiently manage and govern your data with the Data Lake Governance Center (DGC), an all-in-one data lake operations platform offered by AFRIDA. Powered by cloud-based big data storage and compute engines, DGC facilitates the rapid expansion of your enterprise’s big data operations. By leveraging DGC, you can seamlessly build industry knowledge libraries infused with intelligence, ensuring a comprehensive and streamlined approach to data governance within your organization.
Image Recognition
Utilizing advanced deep learning technologies, Image Recognition excels in precisely identifying objects, scenes, and concepts within images by leveraging a diverse pool of visual content tags.
Optical Character Recognition
Optical Character Recognition (OCR) automates the identification and conversion of printed and handwritten characters and digits into editable text, eliminating the necessity for manual intervention. Effortlessly extract precise information from images of licenses, invoices, and forms, thereby enhancing overall business efficiency.
Data Lake Visualization
Data Lake Visualization (DLV) stands as an all-encompassing data visualization platform adaptable to diverse data sources, whether in the cloud or on-premises. With DLV, the process of creating a personalized data screen becomes swift and intuitive—simply drag and drop 2D and 3D visual components to customize and craft your unique visual representation.
Natural Language Processing
Natural Language Processing Fundamentals (NLP Fundamentals) offers a suite of APIs dedicated to natural language processing, including the word segmentation API, named entity recognition API, keyword extraction API, short text similarity API, and more. These versatile APIs can be applied across a spectrum of scenarios, from intelligent Q&A and public opinion analysis to content recommendation, providing a foundational toolkit for diverse natural language processing applications.