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  • pdf文档 Rendering Text

    Chapter 3. Rendering Text The pixels library can do slightly more than just putPixel: it also offers a minimal drawText proc, to put letters and words on the screen. Its declaration looks like this: drawText(x, y: int; text: string; size: int; color: Color) We pass the following parameters to it: x and y The coordinates of a bottom-left corner of the text we want to draw text The text we want to render for example "like this". size This is a height of the text in pixels. color Similarly to the putPixel proc, we can define the color of the text we’re drawing. The simplest way to call this proc is
    0 码力 | 6 页 | 74.05 KB | 1 年前
    3
  • pdf文档 Real-Time Unified Data Layers: A New Era for Scalable Analytics, Search, and AI

    Real-Time Unified Data Layers: A New Era for Scalable Analytics, Search, and AI v 1.1Table of Contents Introduction 1. The Interconnection of Analytics, Search, and AI 2. What is a Real-Time Unified Data intelligence. For example: FMCG & Manufacturing need real-time production dashboards and historical analytics shared across plants & lines to improve Overall Equipment Effectiveness (OEE). Energy companies platforms require real-time monitoring and analytics to personalize experiences and ensure performance. 32. The Interconnection of Analytics, Search, and AI Analytics, search, and AI are deeply interconnected
    0 码力 | 10 页 | 2.82 MB | 5 月前
    3
  • pdf文档 Skew mitigation - CS 591 K1: Data Stream Processing and Analytics Spring 2020

    ??? Vasiliki Kalavri | Boston University 2020 CS 591 K1: Data Stream Processing and Analytics Vasiliki (Vasia) Kalavri
 vkalavri@bu.edu Spring 2020 4/16: Skew mitigation ??? Vasiliki Kalavri |
    0 码力 | 31 页 | 1.47 MB | 1 年前
    3
  • pdf文档 State management - CS 591 K1: Data Stream Processing and Analytics Spring 2020

    Vasiliki Kalavri | Boston University 2020 CS 591 K1: Data Stream Processing and Analytics Vasiliki (Vasia) Kalavri
 vkalavri@bu.edu Spring 2020 2/25: State Management Vasiliki Kalavri | Boston
    0 码力 | 24 页 | 914.13 KB | 1 年前
    3
  • pdf文档 Streaming optimizations - CS 591 K1: Data Stream Processing and Analytics Spring 2020

    ??? Vasiliki Kalavri | Boston University 2020 CS 591 K1: Data Stream Processing and Analytics Vasiliki (Vasia) Kalavri
 vkalavri@bu.edu Spring 2020 4/14: Stream processing optimizations ??? Vasiliki frequency 26 map() reduce() GET /dumprequest HTTP/1.1 Host: rve.org.uk Connection: keep-alive Accept: text/html,application/ xhtml+xml,application/ xml;q=0.9,*/*;q=0.8 User-Agent: Mozilla/5.0 (X11; Linux ISO-8859-1,utf-8;q=0.7,*;q=0.3 GET /dumprequest HTTP/1.1 Host: rve.org.uk Connection: keep-alive Accept: text/html,application/ xhtml+xml,application/ xml;q=0.9,*/*;q=0.8 User-Agent: Mozilla/5.0 (X11; Linux
    0 码力 | 54 页 | 2.83 MB | 1 年前
    3
  • pdf文档 Windows and triggers - CS 591 K1: Data Stream Processing and Analytics Spring 2020

    Vasiliki Kalavri | Boston University 2020 CS 591 K1: Data Stream Processing and Analytics Vasiliki (Vasia) Kalavri
 vkalavri@bu.edu Spring 2020 2/11: Windows and Triggers Vasiliki Kalavri | Boston
    0 码力 | 35 页 | 444.84 KB | 1 年前
    3
  • pdf文档 Course introduction - CS 591 K1: Data Stream Processing and Analytics Spring 2020

    Vasiliki Kalavri | Boston University 2020 CS 591 K1: Data Stream Processing and Analytics Vasiliki (Vasia) Kalavri
 vkalavri@bu.edu Spring 2020 1/21: Introduction Vasiliki Kalavri | Boston University analysis • Visualization and aggregation • impressions, clicks, transactions, likes, comments • Analytics on user activity • Filtering, aggregation, joins with static data (e.g. user profile data) Examples Fault-tolerance & high-availability Vasiliki Kalavri | Boston University 2020 actions, alerts continuous analytics … Building a stream processor… 33 ? Vasiliki Kalavri | Boston University 2020 Optional reading
    0 码力 | 34 页 | 2.53 MB | 1 年前
    3
  • pdf文档 Notions of time and progress - CS 591 K1: Data Stream Processing and Analytics Spring 2020

    University 2020 Vasiliki (Vasia) Kalavri
 vkalavri@bu.edu CS 591 K1: Data Stream Processing and Analytics Spring 2020 2/06: Notions of time and progress Vasiliki Kalavri | Boston University 2020 Mobile
    0 码力 | 22 页 | 2.22 MB | 1 年前
    3
  • pdf文档 Stream processing fundamentals - CS 591 K1: Data Stream Processing and Analytics Spring 2020

    Vasiliki Kalavri | Boston University 2020 CS 591 K1: Data Stream Processing and Analytics Vasiliki (Vasia) Kalavri
 vkalavri@bu.edu Spring 2020 1/23: Stream Processing Fundamentals Vasiliki Kalavri pre-aggregated, pre-processed streams and historical data Data Management Approaches 4 storage analytics static data streaming data Vasiliki Kalavri | Boston University 2020 DBMS vs. DSMS DBMS DSMS Offer low-latency 7 2005 Vasiliki Kalavri | Boston University 2020 actions, alerts continuous analytics … Building a stream processor… 8 ? Vasiliki Kalavri | Boston University 2020 Basic Stream
    0 码力 | 45 页 | 1.22 MB | 1 年前
    3
  • pdf文档 Cardinality and frequency estimation - CS 591 K1: Data Stream Processing and Analytics Spring 2020

    ??? Vasiliki Kalavri | Boston University 2020 CS 591 K1: Data Stream Processing and Analytics Vasiliki (Vasia) Kalavri
 vkalavri@bu.edu Spring 2020 4/23: Cardinality and frequency estimation
    0 码力 | 69 页 | 630.01 KB | 1 年前
    3
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