Realtime Compute (Blink) is Alibaba Cloud’s fully managed, Flink-based streaming data processing service. It is specifically designed for real-time scenarios like clickstream analysis, can handle unpredictable data volumes with auto-scaling, and abstracts away infrastructure management, allowing developers to focus on business logic.

For a JOIN involving a large fact table and a small dimension table in MaxCompute, using a MAP JOIN (broadcast join) is a classic and highly effective optimization. It broadcasts the smaller table to all workers processing the large table, avoiding a costly shuffle operation. This is a SQL-level change that can yield immediate performance gains without infrastructural changes or data movement.

DataWorks is a big data platform for orchestration and workflow management. The fundamental way to control execution order is by explicitly defining upstream/downstream dependencies between nodes in a workflow. This ensures the downstream node (aggregation job) waits for the upstream node (ingestion task) to complete successfully before starting.

Data Lake Analytics (DLA) is a serverless, interactive query service that works directly with data stored in OSS (and other sources). Its key feature is providing a centralized metadata catalog, allowing you to define schemas, tables, and partitions on raw files in OSS, enabling SQL queries without moving the data.

OSS Access Logging records detailed information about every request made to a bucket (e.g., requester, operation, object key, time). These logs are stored as objects in another OSS bucket designated by the user. It is the native, cost-effective solution for compliance, security auditing, and access analysis.

E-MapReduce (EMR) is a managed big data platform that provides open-source ecosystems like Hadoop, Spark, Hive, and Flink on Alibaba Cloud. It offers the most straightforward lift-and-shift path for on-premises Hadoop/Hive workloads, as it maintains compatibility with the same APIs and tools, reducing migration complexity.

Partitioning in MaxCompute is a data organization method where a table is divided into segments (partitions) based on the values of one or more partition columns (e.g., `dt=’20231001’`). During queries, specifying partition predicates allows MaxCompute to perform partition pruning, scanning only relevant data partitions. This is crucial for managing large-scale data efficiently, improving speed, and lowering processing costs.

AnalyticDB is a cloud-native data warehousing service designed for high-concurrency analytics. Its architecture separates compute from storage. A primary strength is its ability to scale out elastically. Adding more read-only nodes (Resource Units) distributes the query load across more compute resources, directly addressing performance degradation caused by high concurrency.

MaxCompute is a fully managed, serverless platform for large-scale data warehousing and processing. A core principle is that users do not provision or manage any underlying infrastructure (VMs, clusters). Resources are allocated dynamically and elastically for each job (SQL, MapReduce, etc.) in a multi-tenant environment, and users are billed based on the amount of data processed.

Realtime Compute (Blink) is Alibaba Cloud’s fully managed, Flink-based streaming data processing service. It is specifically designed for real-time scenarios like clickstream analysis, can handle unpredictable data volumes with auto-scaling, and abstracts away infrastructure management, allowing developers to focus on business logic.0