Rendering TextChapter 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 is0 码力 | 6 页 | 74.05 KB | 1 年前3
Real-Time Unified Data Layers:
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Search, and AIReal-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 interconnected0 码力 | 10 页 | 2.82 MB | 5 月前3
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
State management - CS 591 K1: Data Stream Processing and Analytics Spring 2020Vasiliki 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 | Boston0 码力 | 24 页 | 914.13 KB | 1 年前3
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; Linux0 码力 | 54 页 | 2.83 MB | 1 年前3
Windows and triggers - CS 591 K1: Data Stream Processing and Analytics Spring 2020Vasiliki 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 | Boston0 码力 | 35 页 | 444.84 KB | 1 年前3
Course introduction - CS 591 K1: Data Stream Processing and Analytics Spring 2020Vasiliki 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 reading0 码力 | 34 页 | 2.53 MB | 1 年前3
Notions of time and progress - CS 591 K1: Data Stream Processing and Analytics Spring 2020University 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 Mobile0 码力 | 22 页 | 2.22 MB | 1 年前3
Stream processing fundamentals - CS 591 K1: Data Stream Processing and Analytics Spring 2020Vasiliki 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 Stream0 码力 | 45 页 | 1.22 MB | 1 年前3
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 estimation0 码力 | 69 页 | 630.01 KB | 1 年前3
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