An SQL Server DBA's Guide to Actifio Copy Data Management
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SQL Server Protection Whitepaper
SQL Server Protection Whitepaper Contents 1. Introduction ..................................................................................................................................... 2 Documentation .................................................................................................................................................................. 2 Licensing ............................................................................................................................................................................... 2 The benefits of using the SQL Server Add-on ....................................................................................................... 2 Requirements ...................................................................................................................................................................... 2 2. SQL Protection overview ................................................................................................................ 3 User databases ................................................................................................................................................................... 3 System databases .............................................................................................................................................................. 4 Transaction logs ................................................................................................................................................................ -
How to Conduct Transaction Log Analysis for Web Searching And
Search Log Analysis: What is it; what’s been done; how to do it Bernard J. Jansen School of Information Sciences and Technology The Pennsylvania State University 329F IST Building University Park, Pennsylvania 16802 Email: [email protected] Abstract The use of data stored in transaction logs of Web search engines, Intranets, and Web sites can provide valuable insight into understanding the information-searching process of online searchers. This understanding can enlighten information system design, interface development, and devising the information architecture for content collections. This article presents a review and foundation for conducting Web search transaction log analysis. A methodology is outlined consisting of three stages, which are collection, preparation, and analysis. The three stages of the methodology are presented in detail with discussions of goals, metrics, and processes at each stage. Critical terms in transaction log analysis for Web searching are defined. The strengths and limitations of transaction log analysis as a research method are presented. An application to log client-side interactions that supplements transaction logs is reported on, and the application is made available for use by the research community. Suggestions are provided on ways to leverage the strengths of, while addressing the limitations of, transaction log analysis for Web searching research. Finally, a complete flat text transaction log from a commercial search engine is available as supplementary material with this manuscript. Introduction Researchers have used transaction logs for analyzing a variety of Web systems (Croft, Cook, & Wilder, 1995; Jansen, Spink, & Saracevic, 2000; Jones, Cunningham, & McNab, 1998; Wang, 1 of 42 Berry, & Yang, 2003). Web search engine companies use transaction logs (also referred to as search logs) to research searching trends and effects of system improvements (c.f., Google at http://www.google.com/press/zeitgeist.html or Yahoo! at http://buzz.yahoo.com/buzz_log/?fr=fp- buzz-morebuzz). -
The Data Management Platform: Foundation for Right-Time Customer Engagement
The Data Management Platform: Foundation for Right-Time Customer Engagement A WINTERBERRY GROUP WHITE PAPER NOVEMBER 2012 WITH THE IN PARTNERSHIP WITH SUPPORT OF ACKNOWLEDGEMENTS This white paper would not have been possible without the significant contributions of nearly 200 executive-level thought leaders—including sponsors, contributors, panelists and reviewers representing all segments of the advertising, marketing, media and technology industries. In particular, Winterberry Group is grateful to our research partner, the Interactive Advertising Bureau, as well as the following sponsors for their generous support of this research initiative: Premier Sponsors: Supporting Sponsors: Additionally, we extend our deepest appreciation to the 163 marketers, publishers, technology developers and solution providers who contributed their time, insights and enthusiasm in support of our research. Though their individual names are not mentioned in this paper, they represent some of the most respected companies in the data-driven marketing and media world—including Allstate, Conde Nast, Discover Financial Services, IDG TechNetwork, LiveRamp, NBCUniversal, Razorfish, Sojern, Thomson Reuters, Turner Broadcasting System Inc., WPP Digital, Xaxis, Ziff Davis and many others. We are grateful for their contributions. NOTICE This report contains brief, selected information and analysis pertaining to the advertising, marketing, media and technology industries and has been prepared by Winterberry Group LLC in partnership with the Interactive Advertising Bureau. -
Destiny® System Backups
Destiny® system backups Establishing a backup and restore plan for Destiny Overview It is important to establish a backup and restore plan for your Destiny installation. The plan must be validated and monitored to ensure that your data is sufficiently backed up and can be recovered in the event of hardware failure or other disaster. IMPORTANT Follett recommends deploying a comprehensive backup solution and testing and monitoring all backup processes. There are tradeoff decisions to be made in the backup strategy that will be shaped by your organization’s risk tolerance, technology constraints, and ability to absorb data loss or downtime. This document provides an overview of standard backup and restore for the Destiny system. IMPORTANT This content does not cover high-availability configurations such as clustered servers or log shipping. Please contact Follett School Solutions, Inc. Technical Support should you have any questions about backing up your Destiny installation. For details, see Destiny® system backups. Backing up Destiny: an overview SQL database The heart of the Destiny data resides in the SQL database. These are the main components of SQL data to be backed up: The Destiny SQL database. This database contains the main Destiny data. Proper SQL backup configuration of this database is essential. NOTE If your installation is a consortium, you will have to ensure a proper backup of multiple SQL databases (one per member). The Destiny SQL transaction log. The Master SQL database. This system database is useful when restoring to a replacement server. It is not necessary to back up the tempdb database. This is a SQL Server work area and is recreated automatically. -
Infosphere MDM Collaboration Server: Installation Guide
IBM InfoSphere Master Data Management Collaboration Server Version 11.6 Fix Pack 15 Installation Guide IBM Note Before using this information and the product that it supports, read the information in “Notices” on page 159. Edition Notice This edition applies to version 11.6 of IBM® InfoSphere® Master Data Management and to all subsequent releases and modifications until otherwise indicated in new editions. © Copyright International Business Machines Corporation 2000, 2020. US Government Users Restricted Rights – Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp. Contents Chapter 1. Planning to install.................................................................................1 Installation scenarios.................................................................................................................................. 1 Installation and configuration worksheets................................................................................................. 3 Installation directory worksheet............................................................................................................3 IBM Db2 data source worksheet............................................................................................................4 Oracle data source worksheet............................................................................................................... 5 WebSphere Application Server installation worksheet.........................................................................6 -
GDPR and the DMP
DMP: Fact Sheet and DPIA This document provides more information about the privacy and security of the Salesforce DMP which can help our customers to assess our security and privacy program, including by completing privacy impact assessments. It does not provide legal advice. We urge you to consult with your own legal counsel to familiarize yourself with the requirements that govern your specific situation. More information about privacy impact assessments can be found here. GDPR and the DMP At Salesforce, trust is our #1 value, and nothing is more important than the success of our customers and the protection of their data. Salesforce enables our customers to build trusted relationships, putting their customers at the center of everything they do, including protecting individual privacy through GDPR compliance. The General Data Protection Regulation (“GDPR”) is a European privacy law effective on May 25, 2018. The GDPR expands the privacy rights of EU individuals and places new obligations on all organizations that market, track, or handle EU personal data. For more information about the GDPR, please refer to our Salesforce GDPR website, specifically our GDPR Key Facts paper, which defines a number of the terms used in this document. Salesforce welcomes this law as an important step forward in streamlining data protection requirements across the European Union and as an opportunity for Salesforce to deepen our commitment to data protection. Similar to existing privacy laws, compliance with the GDPR requires a partnership between Salesforce and our customers in their use of our services. We’re committed to complying with the GDPR in providing services to our customers as a processor. -
Gartner Magic Quadrant for Data Management Solutions for Analytics
16/09/2019 Gartner Reprint Licensed for Distribution Magic Quadrant for Data Management Solutions for Analytics Published 21 January 2019 - ID G00353775 - 74 min read By Analysts Adam Ronthal, Roxane Edjlali, Rick Greenwald Disruption slows as cloud and nonrelational technology take their place beside traditional approaches, the leaders extend their lead, and distributed data approaches solidify their place as a best practice for DMSA. We help data and analytics leaders evaluate DMSAs in an increasingly split market. Market Definition/Description Gartner defines a data management solution for analytics (DMSA) as a complete software system that supports and manages data in one or many file management systems, most commonly a database or multiple databases. These management systems include specific optimization strategies designed for supporting analytical processing — including, but not limited to, relational processing, nonrelational processing (such as graph processing), and machine learning or programming languages such as Python or R. Data is not necessarily stored in a relational structure, and can use multiple data models — relational, XML, JavaScript Object Notation (JSON), key-value, graph, geospatial and others. Our definition also states that: ■ A DMSA is a system for storing, accessing, processing and delivering data intended for one or more of the four primary use cases Gartner identifies that support analytics (see Note 1). ■ A DMSA is not a specific class or type of technology; it is a use case. ■ A DMSA may consist of many different technologies in combination. However, any offering or combination of offerings must, at its core, exhibit the capability of providing access to the data under management by open-access tools. -
Dataflux Data Management Studio Installation and Configuration Guide This Page Is Intentionally Blank
DataFlux Data Management Studio Installation and Configuration Guide This page is intentionally blank DataFlux Data Management Studio Installation and Configuration Guide Version 2.2 November 17, 2011 This page is intentionally blank Contact DataFlux DataFlux Corporate Headquarters DataFlux West Toll Free: (877) 846-3589 Tel: (818) 906-7638 Tel: (919) 447-3000 Fax: (818) 907-6012 Fax: (919) 447-3100 940 NW Cary Parkway, Suite 201 15300 Ventura Boulevard, Suite 523 Cary, NC 27513 Sherman Oaks, CA 91403 USA USA DataFlux United Kingdom DataFlux France Tel: +44 (0) 20 3176 0025 Tel: +33 (0) 4 72 91 31 42 Fax: +44 (0) 20 3411 8382 Enterprise House Immeuble Danica B 1-2 Hatfields 21, avenue Georges Pompidou London 69003 Lyon SE1 9PG France United Kingdom DataFlux Germany DataFlux Australia Tel: +49 (0) 69 66 55 42 04 Tel: +61 2 9428 0553 In der Neckarhelle 162 300 Burns Bay Road 69118 Heidelberg Lane Cove, NSW 2066 Germany Australia Technical Support Phone: 1-919-531-9000 Email: [email protected] Web: http://dataflux.com/MyDataFlux-Portal.aspx Documentation Support Email: [email protected] DataFlux Data Management Studio Installation and Configuration Guide i Legal Information Copyright © 1997 - 2011 DataFlux Corporation LLC, Cary, NC, USA. All Rights Reserved. DataFlux and all other DataFlux Corporation LLC product or service names are registered trademarks or trademarks of, or licensed to, DataFlux Corporation LLC in the USA and other countries. ® indicates USA registration. The scanning, uploading, and distribution of this book via the Internet or any other means without the permission of the publisher is illegal and punishable by law. -
Database Management Systems Introduction Transaction ACID
Introduction What is Concurrent Process (CP)? • Multiple users access databases and use computer Database Management systems simultaneously. • Example: Airline reservation system. Systems œ An airline reservation system is used by hundreds of travel agents and reservation clerks concurrently. Transaction, Concurrency and Why Concurrent Process? Recovery • Better transaction throughput and response time • Better utilization of resource Adapted from Lecture notes by Goldberg @ Berkeley Transaction ACID Properties of transaction • What is Transaction? • Atomicity: Transaction is either performed in its entirety or not performed at all, this should be DBMS‘ • A sequence of many actions which are responsibility considered to be one atomic unit of work. • Consistency: Transaction must take the database • Basic operations a transaction can include from one consistent state to another if it is executed in —actions“: isolation. It is user‘s responsibility to insure consistency œ Reads, writes • Isolation: Transaction should appear as though it is œ Special actions: commit, abort being executed in isolation from other transactions • Durability: Changes applied to the database by a committed transaction must persist, even if the system fail before all changes reflected on disk Concurrent Transactions Schedules • What is Schedules œ A schedule S of n transactions T1,T2,…Tn is an ordering of the B B operations of the transactions subject to the constraint that, for each transaction Ti that participates in S, the operations of Ti in Smust CPU2 A appear in the same order in which they occur in Ti. CPU A 1 œ Example: Sa: r1(A),r2(A),w1(A),w2(A), a1,c2; CPU1 T1 T2 time Read(A) Read(A) t1 t2 t1 t2 Write(A) interleaved processing parallel processing Write(A) Abort T1 Commit T2 1 Oops, something‘s wrong Another example • Reserving a seat for a flight • Problems can occur when concurrent transactions execute in an uncontrolled manner. -
Data Definition Language (Ddl)
DATA DEFINITION LANGUAGE (DDL) CREATE CREATE SCHEMA AUTHORISATION Authentication: process the DBMS uses to verify that only registered users access the database - If using an enterprise RDBMS, you must be authenticated by the RDBMS - To be authenticated, you must log on to the RDBMS using an ID and password created by the database administrator - Every user ID is associated with a database schema Schema: a logical group of database objects that are related to each other - A schema belongs to a single user or application - A single database can hold multiple schemas that belong to different users or applications - Enforce a level of security by allowing each user to only see the tables that belong to them Syntax: CREATE SCHEMA AUTHORIZATION {creator}; - Command must be issued by the user who owns the schema o Eg. If you log on as JONES, you can only use CREATE SCHEMA AUTHORIZATION JONES; CREATE TABLE Syntax: CREATE TABLE table_name ( column1 data type [constraint], column2 data type [constraint], PRIMARY KEY(column1, column2), FOREIGN KEY(column2) REFERENCES table_name2; ); CREATE TABLE AS You can create a new table based on selected columns and rows of an existing table. The new table will copy the attribute names, data characteristics and rows of the original table. Example of creating a new table from components of another table: CREATE TABLE project AS SELECT emp_proj_code AS proj_code emp_proj_name AS proj_name emp_proj_desc AS proj_description emp_proj_date AS proj_start_date emp_proj_man AS proj_manager FROM employee; 3 CONSTRAINTS There are 2 types of constraints: - Column constraint – created with the column definition o Applies to a single column o Syntactically clearer and more meaningful o Can be expressed as a table constraint - Table constraint – created when you use the CONTRAINT keyword o Can apply to multiple columns in a table o Can be given a meaningful name and therefore modified by referencing its name o Cannot be expressed as a column constraint NOT NULL This constraint can only be a column constraint and cannot be named. -
Transaction Processing System
Transaction processing system From Wikipedia, the free encyclopedia (Redirected from Transaction processing systems) It has been suggested that this article or section be merged into Transaction processing. (Discuss) Proposed since November 2012. Transaction processing is a style of computing that divides work into individual, indivisible operations, called transactions.[1] Atransaction processing system (TPS) or transaction server is a software system, or software/hardware combination, that supports transaction processing. Contents [hide] 1 History 2 List of transaction processing systems 3 Processing types o 3.1 Batch processing o 3.2 Real-time processing o 3.3 Time-sharing o 3.4 Transaction processing 4 Transaction processing system features o 4.1 Performance o 4.2 Continuous availability o 4.3 Data integrity o 4.4 Ease of use o 4.5 Modular growth 5 Databases and files o 5.1 Data warehouse o 5.2 Backup procedures . 5.2.1 Recovery process . 5.2.2 Types of back-up procedures . 5.2.2.1 Grandfather- father-son . 5.2.2.2 Partial backups . 5.2.3 Updating in a batch . 5.2.4 Updating in real-time 6 See also 7 References 8 Further reading [edit]History One of the first transaction processing systems was American Airline SABRE system, which became operational in 1960. Designed to process up to 83,000 transactions a day, the system ran on two IBM 7090 computers. SABRE was migrated to IBM System/360computers in 1972, and became an IBM product first as Airline control Program (ACP) and later as Transaction Processing Facility (TPF). In addition to airlines TPF is used by large banks, credit card companies, and hotel chains. -
System Administration Guide: Volume 1
System Administration Guide: Volume 1 SAP® Adaptive Server® Enterprise 16.0 DOCUMENT ID: DC31654-01-1600-01 LAST REVISED: May 2014 Copyright © 2014 by SAP AG or an SAP affiliate company. All rights reserved. No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of SAP AG. The information contained herein may be changed without prior notice. Some software products marketed by SAP AG and its distributors contain proprietary software components of other software vendors. National product specifications may vary. These materials are provided by SAP AG and its affiliated companies ("SAP Group") for informational purposes only, without representation or warranty of any kind, and SAP Group shall not be liable for errors or omissions with respect to the materials. The only warranties for SAP Group products and services are those that are set forth in the express warranty statements accompanying such products and services, if any. Nothing herein should be construed as constituting an additional warranty. SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP AG in Germany and other countries. Please see http://www.sap.com/corporate-en/legal/copyright/ index.epx#trademark for additional trademark information and notices. Contents CHAPTER 1: Overview of System Administration .......1 Roles Required for System Administration Tasks ..............1 Database Owner .............................................................3