the work within the object itself. • If the work belongs outside the object and instead in some processing code, consider a double-dispatch solution, such as the Visitor design pattern. This allows a facility They are widely used in Google code, but only for debug logging and test diagnostics. The << and >> stream operators provide an API for formatted I/O that is easily learned, portable, reusable, and extensible • Stream formatting can be configured by mutating the state of the stream. Such mutations are persistent, so the behavior of your code can be affected by the entire previous history of the stream, unless

integration flows  Systems support for time series forecasting  In-memory indexing and query processing Data Management Group DB group https://github.com/ apache/systemds 6 706.015 Introduction Salihoglu, Jimmy Lin, M. Tamer Özsu: The Ubiquity of Large Graphs and Surprising Challenges of Graph Processing. PVLDB 11(4) 2017  #4.3 Yuanyuan Tian, Andrey Balmin, Severin Andreas Corsten, Shirish Tatikonda Dehnert, Ilan Horn, Naty Leiser, Grzegorz Czajkowski: Pregel: a system for large-scale graph processing. SIGMOD 2010 Paper Project Proposals 29 706.015 Introduction to Scientific Writing – 01 Introduction

introduced. Later, Raman and Swart investigated query processing on heavyweight Huffman coding schemes [40], Later, [40] investigated query processing on heavyweight Huffman coding schemes, 22 706.015

benchmarks  Benchmarks can define a field and foster innovation  #1 Data Management  Query processing: 007, TPC-C, TPC-E, TPC-H, TPC-DS (w/ audit)  Join ordering: JOB  #2 “Big Data”  MR/Spark: