SAP SAP Data Intelligence 3 on Rancher Kubernetes Engine 2 using VMware vSAN and vSphere SUSE Linux Enterprise Server 15 SP4 Rancher Kubernetes Engine 2 SAP Data Intelligence 3 Dr. Ulrich Schairer, (SUSE) 1 SAP Data Intelligence 3 on Rancher Kubernetes Engine 2 using VMware vSAN and vSphere SAP Data Intelligence 3 on Rancher Kubernetes Engine 2 using VMware vSAN and vSphere Date: 2023-07-24 SAP possi- ble errors or the consequences thereof. 2 SAP Data Intelligence 3 on Rancher Kubernetes Engine 2 using VMware vSAN and vSphere Contents 1 Introduction 4 2 Requirements 5 3 Preparations 7

C++20 ❤ SQL John R Bandela, MDOverview u SQL u C++ Example u Implementation techniques u fixed_string u meta_struct u Parsing compile time strings into meta_structsOverview v SQL v C++ Example language v It matches the capabilities of a relational database v Very widely used. You will be able to find all sorts of information about itExample Database Customers id INTEGER PRIMARY KEY name TEXT ing SQL Injection Attacks SELECT orders.id, name, item, price, discount_code FROM orders JOIN customers ON customers.id = customerid WHERE price > ?;SQL Library Options u Traditional database library

h"p://vimeo.com/ardanstudios/gophercon BUSINESS PROBLEM Database Application Data� Offer Data� User Data� Online / Coupons� Credit Card� Advice� Daily Deals� Registration� Social� Financial� This is in step with how rela*onal database systems store data. MongoDB’s schemaless database provides great flexibility. hHp://docs.mongodb out of the box • Great MongoDB hos*ng providers • Schemaless database that provides great flexibility • Aggrega*on pipeline to build rules

© 2018 Percona. 1 Peter Zaitsev Using MySQL for Distributed Database Architectures CEO, Percona PingCAP Infra Meetup, Shanghai, China, May 26, 2018 © 2018 Percona. 2 About Percona Solutions of Thousands of Updates/Sec Traverse Tens of Millions of Rows/Sec Comfortably Handle Several TB Database size © 2018 Percona. 7 Lets Do Some Math 100.000 QPS 10 Queries per User Interaction 10 Paired with Replicated Data © 2018 Percona. 24 Where Replication Happens Storage Level Database Level Application Level © 2018 Percona. 25 Storage Level Replication Replication in SAN/NAS

Firebird Internals Inside a Firebird Database Norman Dunbar Version 1.2, 13 August 2021 Table of Contents 1. Introduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 2. Database Structure. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 3. Standard Database Page Header. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 4. Database Header Page — Type 0x01

TIDB THE LARGE SCALE RELATIONAL DATABASE SOLUTION PRODUCT REVIEW 2022 Piloting tomorrow’s creativity https://www.iconic.inc Iconic Data Japan (IDJ) is a multi-national data services company that ICONIC DATA, DATATECH ICONIC DATA © ALL RIGHTS RESERVED. 1 AS A SOLUTION TIDB 2 TiDB is a new database solution that is targeted primarily to clients that need to handle very large databases, with very very large frequency of queries. If those two problems describe your business then this database solution is very attractive, as it also features a number of other features that make it stand out from

Introduction 1 Differences between database auditing and the audit plugin 1 Obtain the database auditing feature 2 The range of database auditing 2 The events of database auditing 3 Recorded information information in audit logs 5 General information 5 SQL statement information 6 Connection information 6 Audit operation information 7 Audit log filters and rules 7 Filters 8 Filter rules 9 File formats of 20 RESTRICTED_AUDIT_ADMIN 20 Migration from audit plugin to database auditing 20 TiDB Database Auditing User Guide Introduction Database auditing is an important feature in TiDB Enterprise Edition,