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 (adj_list_serialize.hpp) and parallel/distributed algorithms and data structures (boost/graph/parallel/* and boost/graph/distributed/*). • Property Map from boost/property_map, except parallel/distributed property property maps (boost/property_map/parallel/*). • Iterator from boost/iterator • The part of Polygon that deals with Voronoi diagram construction and doesn’t depend on the rest of Polygon: boost/polygon/voronoi_builder

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 WS 2020/21 Data Management Courses Data Management / Databases (DM, SS+WS) Architecture of Database Systems (ADBS, WS) Architecture of ML Systems (AMLS, SS) Data Integration and Large-Scale Analysis solution achieves Hence, we initiate work on compressed linear algebra (CLA), in which lightweight database compression techniques are applied to matrices and then linear algebra operations such as matrix-vector

Computer Science (Data Management) [Ioana Manolescu, Stefan Manegold: Performance Evaluation in Database Research: Principles and Experiences, ICDE 2008] 5 706.015 Introduction to Scientific Writing on? Experiments and Result Presentation [I. Manolescu, S/ Manegold: Performance Evaluation in Database Research: Principles and Experiences, ICDE 2008] 8 706.015 Introduction to Scientific Writing 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:

two continuation lines use the same indentation level if and only if they begin with syntactically parallel elements. Section 4.6.3 on Horizontal alignment addresses the discouraged practice of using a variable

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

decorators. Avoid external dependencies in the decorator itself (e.g. don’t rely on files, sockets, database connections, etc.), since they might not be available when the decorator runs (at import time, perhaps