Real-Time & Stream Data Management: Push-Based Data in Research & Practice (SpringerBriefs in Computer Science) - Tapa blanda

Sinopsis

<DIV>WHILE TRADITIONAL DATABASES EXCEL AT COMPLEX QUERIES OVER HISTORICAL DATA, THEY ARE INHERENTLY PULL-BASED AND THEREFORE ILL-EQUIPPED TO PUSH NEW INFORMATION TO CLIENTS. SYSTEMS FOR DATA STREAM MANAGEMENT AND PROCESSING, ON THE OTHER HAND, ARE NATIVELY PUSH­ORIENTED AND THUS FACILITATE REACTIVE BEHAVIOR. HOWEVER, THEY DO NOT RETAIN DATA INDEFINITELY AND ARE THEREFORE NOT ABLE TO ANSWER HISTORICAL QUERIES.&NBSP;</DIV><DIV>THE BOOK WILL FIRST PROVIDE AN OVERVIEW OVER THE DIFFERENT (PUSH-BASED) MECHANISMS FOR DATA RETRIEVAL IN EACH SYSTEM CLASS AND THE SEMANTIC DIFFERENCES BETWEEN THEM. IT WILL ALSO PROVIDE A COMPREHENSIVE OVERVIEW OVER THE CURRENT STATE OF THE ART IN REAL-TIME DATABASES.&NBSP;</DIV><DIV>IT WILL FIRST INCLUDE AN IN-DEPTH SYSTEM SURVEY OF TODAY'S REAL-TIME DATABASES: FIREBASE, METEOR, RETHINKDB, PARSE, BAQEND, AND OTHERS. SECOND, THE HIGH-LEVEL CLASSIFICATION SCHEME ILLUSTRATED ABOVE PROVIDES A GENTLE INTRODUCTION INTO THE SYSTEM SPACE OF DATA MANAGEMENT: ABSTRACTING FROM THE EXTREME SYSTEM DIVERSITY IN THIS FIELD, IT HELPS READERS BUILD A MENTAL MODEL OF THE AVAILABLE OPTIONS.</DIV>

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