poloclub.github.io/#cse6242
 CSE6242/CX4242: Data & Visual Analytics
 Simple Data Storage; SQLite Duen Horng (Polo) Chau
 Associate Professor, College of Computing
 Associate Director, MS Analytics
 Faloutsos How to store the data?
 What’s the easiest way? Easiest Way to Store Data As comma-separated files (CSV) But may not be easy to parse. Why? 3 Easiest Way to Store Data 4 https://en.wikipedia org/famous.html
 iPhone (iOS), Android, Chrome (browsers), Mac, etc. Self-contained: one file contains data + schema Serverless: database right on your computer Zero-configuration: no need to set up! See

1 Table of Contents Chapter 1 - Introduction 4 About Navicat Data Modeler 4 Installation 5 Registration 6 Migration / Upgrade 7 End-User License Agreement 7 Chapter 2 - User Interface Trace Logs 84 Log Files 84 4 Chapter 1 - Introduction About Navicat Data Modeler Navicat Data Modeler is a powerful and easy-to-use GUI tool for creating and manipulating database models print models to files, etc. Navicat Data Modeler is available on three platforms - Microsoft Windows, macOS and Linux. Here are some highlights of Navicat Data Modeler: • Create and manipulate c

1 Table of Contents Chapter 1 - Introduction 4 About Navicat Data Modeler 4 Installation 5 Registration 5 Migration / Upgrade 6 End-User License Agreement 7 Chapter 2 - User Interface Trace Logs 82 Log Files 82 4 Chapter 1 - Introduction About Navicat Data Modeler Navicat Data Modeler is a powerful and easy-to-use GUI tool for creating and manipulating database models print models to files, etc. Navicat Data Modeler is available on three platforms - Microsoft Windows, macOS and Linux. Here are some highlights of Navicat Data Modeler: • Create and manipulate c

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 Layer Layer? 3. Why Do You Need a Real-Time Unified Data Layer? 4. 5.CrateDB: A Modern Real-Time Unified Data Layer1. Introduction Data teams are facing more challenges than ever. As applications generate and and consume unprecedented volumes of data across a growing number of sources and formats, data engineering and architecture teams must design systems that not only scale but also deliver real-time access

阿里云 AnalyticDB for PostgreSQL - 打造更简单易用的Cloud SQL Data Warehouse 个人介绍 缪长风 ⚫ 2010年初加入支付宝，负责Oracle RAC和Greenplum数据仓库 ⚫ 有幸参与了Oracle RAC到 Greenplum再到Hadoop以及最终到 ODPS的架构演进工作。 ⚫ 2012年起，转至阿里巴巴大数据团队，负责Hbase/OTS业务支 RDS 关系型数据 库D ECS自建 自建大数据计算平台 Hadoop Spark EMR Dataphi n OSS海量云存储 Data Lake Store DTS 实时同步 Dump Data Dump Data 数据集成 按需回流 数据仓库应用 在线数据仓库 数据 查询 数据集成 批量同步 1 3 4 2 云化在线数仓 ： 简化、敏捷、一栈式构筑数据仓库

Cluster Management 148 VMware Greenplum 6 Documentation VMware by Broadcom 3 Disaster Recovery 148 Data Flow 149 Release 6.26.1 149 Zstandard (zstd) Supported Version 149 Query Processing 149 Server 150 Features 150 Resolved Issues 150 Server 151 Query Processing 151 Cluster Management 151 Data Flow 152 Release 6.25 152 Release 6.25.4 152 Query Processing 152 Release 6.25.3 152 Cluster Resolved Issues 154 Server 154 Cluster Management 155 Data Flow 155 Extensions 156 Drivers 156 Query Processing 156 Release 6.25.1 157 Server 157 Data Flow 157 Release 6.25.0 157 VMware Greenplum 6

Resolved Issues 141 Server 141 Cluster Management 142 Data Flow 142 Extensions 142 Drivers 143 Query Processing 143 Release 6.25.1 143 Server 143 Data Flow 144 Release 6.25.0 144 Features 144 Resolved Processing 145 Cluster Management 146 Data Flow 146 Upgrade 146 Release 6.24 146 Release 6.24.6 146 Query Processing 146 Server 147 Release 6.24.5 147 Data Flow 147 Release 6.24.4 147 Changed Release 6.24.0 150 Features 151 Resolved Issues 151 Extensions 151 Server 151 Query Processing 152 Data Flow 153 Cluster Management 153 Release 6.23 153 Release 6.23.5 153 Changed Features 153 VMware

Release 6.24.0 133 Features 133 Resolved Issues 134 Extensions 134 Server 134 Query Processing 135 Data Flow 135 Cluster Management 136 Release 6.23 136 Release 6.23.3 136 Changed Feature 136 Resolved Greenplum on vSphere 138 Release 6.23.1 138 Resolved Issues 138 Server 138 Query Processing 140 Data Flow 140 VMware Greenplum 6 Documentation VMware, Inc 3 Release 6.23.0 140 Features 140 Resolved 144 Release 6.22 144 Release 6.22.2 144 Resolved Issues 144 Server 144 Query Processing 145 Data Flow 146 Release 6.22.1 146 Resolved Issues 146 Server 146 Query Processing 147 Cluster Management

136 Release 6.22 137 Release 6.22.2 137 Resolved Issues 137 Server 137 Query Processing 138 Data Flow 139 Release 6.22.1 139 Resolved Issues 139 Server 139 Query Processing 139 Cluster Management Issues 142 Server 142 VMware Tanzu Greenplum 6 Documentation VMware, Inc 3 Query Processing 143 Data Flow 143 Cluster Management 144 DataDirect ODBC 144 Release 6.21 144 Release 6.21.3 144 Server Query Processing 146 Data Flow 147 Tanzu Greenplum on vSphere 147 Release 6.21.0 147 Features 147 Resolved Issues 149 Server 149 Query Processing 151 Cluster Management 151 Data Flow 151 Extensions

Release 6.22 134 Release 6.22.3 134 Resolved Issues 134 Data Flow 134 Release 6.22.2 134 Resolved Issues 134 Server 135 Query Processing 136 Data Flow 136 Release 6.22.1 136 Resolved Issues 136 Server Management 138 Release 6.22.0 138 Features 138 Resolved Issues 140 Server 140 Query Processing 141 Data Flow 141 Cluster Management 141 DataDirect ODBC 141 Release 6.21 142 VMware Tanzu Greenplum 6 Query Processing 144 Data Flow 144 Tanzu Greenplum on vSphere 144 Release 6.21.0 144 Features 145 Resolved Issues 146 Server 146 Query Processing 148 Cluster Management 148 Data Flow 148 Extensions