Focused on big data technology research, exploring the Big Data era | [email protected]
This article explains Kafka's architecture, identifies its security vulnerabilities, and presents Transwarp's Kerberos authentication and ACL-based authorization solutions, including configuration steps, code examples, and best practices for building a secure Kafka service.
This article explains the security risks facing Hadoop clusters, outlines common attack methods, introduces Kerberos authentication, and describes Transwarp Data Hub's multi‑layer security architecture—including Guardian, KRB5LDAP, and authorization controls—to help administrators secure their big‑data environments.
This article examines typical problems encountered when using Cost‑Based Optimizer (CBO) in Inceptor, offers step‑by‑step troubleshooting methods, and demonstrates a real‑world case where statistical information is collected with Preanalyze, CBO is enabled, and query plans are refined for large‑scale JOIN operations.
This article explains the concept of Cost‑Based Optimization (CBO) in Inceptor, details how to collect statistics with ANALYZE or the preanalyze script, shows how to enable CBO, and presents performance gains demonstrated on TPC‑DS benchmarks.
Transpedia, launched with TDH 4.6, consolidates all StarRing product manuals into a single online portal that offers real‑time synchronization, keyword search, and intuitive navigation, eliminating the need for PDF downloads and dramatically improving documentation accessibility and user experience.
This article explains how to navigate Inceptor's Stage information page, interpret Summary Metrics, Aggregated Metrics by Executor, and Task details, and use DAG Visualization and Event Timeline charts to diagnose performance issues and optimize big‑data workloads.
This guide explains how to use Inceptor's management UI—specifically the Local, Storage, Holddesk, Environment, and Executors tabs—to monitor stage counts, inspect in‑memory table distribution, detect data skew, and verify executor health, enabling more effective job optimization.
This guide explains how to use Inceptor's management UI—especially the Jobs and Cluster tabs—to monitor execution metrics, interpret stage details, read DAG visualizations, and diagnose performance issues in large‑scale SQL workloads.
This article explains how to quickly locate SQL performance bottlenecks on Hadoop by understanding hardware metrics and then applies four practical optimization strategies—cutting data access, shrinking result sets, minimizing interactions, and lowering CPU load—using filters, selective columns, batch operations, and stored procedures.
This article reviews a comprehensive big‑data lecture covering traditional databases, Hadoop ecosystems, commercial big‑data platforms, computing models, analysis techniques, visualization, and leading vendors, highlighting how these technologies shape today’s data‑driven enterprises.
