This Volume Focuses On The Theory And Practice Of Data Stream Management, And The Novel Challenges This Emerging Domain Poses For Data-management Algorithms, Systems, And Applications. The Collection Of Chapters, Contributed By Authorities In The Field, Offers A Comprehensive Introduction To Both The Algorithmictheoretical Foundations Of Data Streams, As Well As The Streaming Systems And Applications Built In Different Domains.a Short Introductory Chapter Provides A Brief Summary Of Some Basic Data Streaming Concepts And Models, And Discusses The Key Elements Of A Generic Stream Query Processing Architecture. Subsequently, Part I Focuses On Basic Streaming Algorithms For Some Key Analytics Functions (e.g., Quantiles, Norms, Join Aggregates, Heavy Hitters) Over Streaming Data.