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商品描述
Learn how to write, tune, and port SQL queries and other statements for a Big Data environment, using Impala—the massively parallel processing SQL query engine for Apache Hadoop. The best practices in this practical guide help you design database schemas that not only interoperate with other Hadoop components, and are convenient for administers to manage and monitor, but also accommodate future expansion in data size and evolution of software capabilities.
Ideal for database developers and business analysts, Getting Started with Impala includes advice from Cloudera’s development team, as well as insights from its consulting engagements with customers.
- Learn how Impala integrates with a wide range of Hadoop components
- Attain high performance and scalability for huge data sets on production clusters
- Explore common developer tasks, such as porting code to Impala and optimizing performance
- Use tutorials for working with billion-row tables, date- and time-based values, and other techniques
- Learn how to transition from rigid schemas to a flexible model that evolves as needs change
- Take a deep dive into joins and the roles of statistics
商品描述(中文翻譯)
學習如何為大數據環境撰寫、調整和移植 SQL 查詢及其他語句,使用 Impala——Apache Hadoop 的大規模並行處理 SQL 查詢引擎。本實用指南中的最佳實踐幫助您設計數據庫架構,不僅能與其他 Hadoop 組件互操作,方便管理員進行管理和監控,還能適應未來數據量的擴展和軟體能力的演變。
本書《Getting Started with Impala》非常適合數據庫開發人員和商業分析師,包含 Cloudera 開發團隊的建議,以及其與客戶的諮詢合作中的見解。
- 學習 Impala 如何與各種 Hadoop 組件整合
- 在生產集群上實現對於龐大數據集的高性能和可擴展性
- 探索常見的開發者任務,例如將代碼移植到 Impala 和優化性能
- 使用教程處理十億行的表格、基於日期和時間的值及其他技術
- 學習如何從僵硬的架構過渡到隨需求變化而演變的靈活模型
- 深入了解聯接和統計的角色
