The document provides an overview of DB2 security features including authorization, authentication, LBAC, RCAC, backup and recovery, data encryption, trusted contexts, and InfoSphere data replication. It discusses authorization at the instance, database, and object levels and covers row and column access controls. The document also outlines different data encryption options in DB2, backup approaches, and trusted connections. It concludes with references for further information.
Solving the DB2 LUW Administration DilemmaRandy Goering
As a DB2 LUW Database Administrator you are probably reluctant to or prohibited from granting your users* these permissions because doing so gives them permission to other DB2 administrations tasks like stopping the database. If your users are not allowed to do these tasks then who is? Most likely, you, as the DBA will perform these and other administrative functions for your users. Would you like a way to eliminate these tasks from your daily to-do list? This presentation will discuss how to externalize specific administrative tasks with Stored Procedures, Federated procedures, Administrative SQL routines, and views.
This document provides an overview of using DB2 on IBM mainframe systems. It discusses logging into TSO, allocating datasets for DB2 use, using the SPUFI tool to interactively execute SQL statements against DB2, and some key DB2 concepts like logical unit of work and the different views that programs and the system have of the DB2 environment.
Practical Recipes for Daily DBA Activities using DB2 9 and 10 for z/OSCuneyt Goksu
This document discusses several practical DBA activities in DB2 9 and 10 for z/OS including recovering from accidentally dropping a table, defining a trusted context for security, including columns in indexes for performance, creating indexes on expressions, and using MAXTEMP_RID in version 10 for performance. Steps are provided for recovering a dropped table using log records, archive logs, and VSAM copy techniques. Trusted contexts are introduced for efficiently switching users without credentials. Including columns in indexes and new features in version 10 like MAXTEMP_RID are highlighted for potential performance improvements.
DB2 is a multi-platform database server that can scale from laptops to large systems handling terabytes of data. It provides tools for extending capabilities to support multimedia, is fully integrated for web access, and supports universal access and multiple platforms. The tutorial covered key DB2 concepts like instances, schemas, tables, and indexes. It demonstrated how to use Control Center and other GUIs to perform tasks like creating databases and tables, querying data, and setting user privileges. Java applications can also access DB2 data through JDBC.
This document discusses DB2 backup and recovery. It covers logging, different backup types including full, incremental, and delta backups. It also discusses performing backups offline and online. The document describes how to check backup history and image consistency. Recovery types like crash, version, and roll-forward recovery are explained. Commands for restarting, restoring, and recovering databases are provided. The appendix includes links for more information on backup, restore, and roll-forward commands.
DB2 is a family of database server products developed by IBM that support relational and object relational models. DB2 was first introduced by IBM in 1983 for mainframe systems and has since been ported to Linux, Unix, and Windows. There are three main DB2 products: DB2 for Linux, Unix, and Windows (DB2 LUW), DB2 for Z/OS (mainframe), and DB2 for iSeries. DB2 LUW provides features such as high availability, security, workload management, and federation between data sources. The document discusses DB2 architecture including the instance model, database storage model, engine dispatchable units, and memory architecture.
The document discusses various DB2 recovery options including backup and restore, the recovery process model, important recovery-related system files, advanced copy services, and transportable schemas. It provides examples of the backup and restore process models and describes key DB2 recovery-related files. It also outlines the scripted interface for advanced copy services backup and differences between DB2 versions 9.7 and 10.1 related to advanced copy services.
Solving the DB2 LUW Administration DilemmaRandy Goering
As a DB2 LUW Database Administrator you are probably reluctant to or prohibited from granting your users* these permissions because doing so gives them permission to other DB2 administrations tasks like stopping the database. If your users are not allowed to do these tasks then who is? Most likely, you, as the DBA will perform these and other administrative functions for your users. Would you like a way to eliminate these tasks from your daily to-do list? This presentation will discuss how to externalize specific administrative tasks with Stored Procedures, Federated procedures, Administrative SQL routines, and views.
This document provides an overview of using DB2 on IBM mainframe systems. It discusses logging into TSO, allocating datasets for DB2 use, using the SPUFI tool to interactively execute SQL statements against DB2, and some key DB2 concepts like logical unit of work and the different views that programs and the system have of the DB2 environment.
Practical Recipes for Daily DBA Activities using DB2 9 and 10 for z/OSCuneyt Goksu
This document discusses several practical DBA activities in DB2 9 and 10 for z/OS including recovering from accidentally dropping a table, defining a trusted context for security, including columns in indexes for performance, creating indexes on expressions, and using MAXTEMP_RID in version 10 for performance. Steps are provided for recovering a dropped table using log records, archive logs, and VSAM copy techniques. Trusted contexts are introduced for efficiently switching users without credentials. Including columns in indexes and new features in version 10 like MAXTEMP_RID are highlighted for potential performance improvements.
DB2 is a multi-platform database server that can scale from laptops to large systems handling terabytes of data. It provides tools for extending capabilities to support multimedia, is fully integrated for web access, and supports universal access and multiple platforms. The tutorial covered key DB2 concepts like instances, schemas, tables, and indexes. It demonstrated how to use Control Center and other GUIs to perform tasks like creating databases and tables, querying data, and setting user privileges. Java applications can also access DB2 data through JDBC.
This document discusses DB2 backup and recovery. It covers logging, different backup types including full, incremental, and delta backups. It also discusses performing backups offline and online. The document describes how to check backup history and image consistency. Recovery types like crash, version, and roll-forward recovery are explained. Commands for restarting, restoring, and recovering databases are provided. The appendix includes links for more information on backup, restore, and roll-forward commands.
DB2 is a family of database server products developed by IBM that support relational and object relational models. DB2 was first introduced by IBM in 1983 for mainframe systems and has since been ported to Linux, Unix, and Windows. There are three main DB2 products: DB2 for Linux, Unix, and Windows (DB2 LUW), DB2 for Z/OS (mainframe), and DB2 for iSeries. DB2 LUW provides features such as high availability, security, workload management, and federation between data sources. The document discusses DB2 architecture including the instance model, database storage model, engine dispatchable units, and memory architecture.
The document discusses various DB2 recovery options including backup and restore, the recovery process model, important recovery-related system files, advanced copy services, and transportable schemas. It provides examples of the backup and restore process models and describes key DB2 recovery-related files. It also outlines the scripted interface for advanced copy services backup and differences between DB2 versions 9.7 and 10.1 related to advanced copy services.
This PPT File, helps with the Basic Interview Questions specially for DataBase Domain.. For more questions , please log in to www.rekruitin.com
By ReKruiTIn.com
The document discusses DB2 architecture and concepts. It explains that each DB2 installation has a Database Administration Server (DAS) that provides remote administration support. It also discusses the DB2 Profile Registry, which stores configurable settings. The document then covers the instance concept, noting that an instance is a set of processes, disk, and memory allocations that provide database services and can contain one or more databases.
DB2 is a relational database management system that runs on IBM mainframes. It uses SQL for data manipulation and definition. A COBOL program can use DB2 services by including host variables, a SQL communication area, and SQL statements. DB2 has major components including system services, locking services, database services, and distributed data facility. The database services component handles tasks like precompiling, binding, running SQL statements, data management, and buffer management.
The document provides an overview of basic concepts related to SQL server databases including database objects, file systems, storage structures, and query processing. It discusses topics like SQL server databases, storage files and file groups, data pages and extents, data organization in heaps vs indexed tables, and how queries are processed through either full table scans or using indexes.
This document discusses IBM DB2 10.5 with BLU Acceleration. It introduces BLU Acceleration as a new technology that uses column-organized tables to provide significant improvements to storage, query performance, ease of use, and time-to-value for analytic workloads. The document outlines seven main ideas behind BLU Acceleration, including compute-friendly encoding and compression, keeping data compressed during evaluation, multiplying the power of CPUs using SIMD processing, core-friendly parallelism, working directly on columns to minimize I/O, and extreme data compression.
Oracle dba interview questions with answerupenpriti
This document contains 10 questions about Oracle DBA interview questions and their answers. It covers topics like components of the SGA, the order in which Oracle processes SQL statements, mandatory datafiles for an Oracle 11g database, and how sessions communicate with the database. The questions test knowledge of Oracle architecture, processes, memory structures, and common administrative tasks.
"Dear Students,
Greetings from www.etraining.guru
We provide BEST online training for IBM DB2 LUW/UDB DBA by a database architect. Our DB2 Trainer comes with a working experience of 11+ years, 9+ years in DB2 and a DB2 certified professional.
DB2 LUW DBA Course Content: http://www.etraining.guru/course/dba/online-training-db2-luw-udb-dba
Course Cost: USD 350 (or) INR 21000
Number of Hours: 30-35 hours
Regards,
Karthik
www.etraining.guru
IBM Spectrum Scale for File and Object StorageTony Pearson
This document discusses IBM Spectrum Scale, which provides universal access to files and objects across data centers. It can scale to support up to 18 quintillion files per file system and 256 file systems per cluster. IBM Spectrum Scale provides high performance, proven reliability, and flexible access to data through various file and object protocols. It can be deployed as software on various systems, as pre-built systems, or as cloud services. The document outlines the various capabilities and uses of IBM Spectrum Scale, such as file management policies, caching, encryption, protocol servers, integration with Hadoop and backup/disaster recovery.
IBM DS8880 and IBM Z - Integrated by DesignStefan Lein
This Presentation shows the strength of the IBM DS8880 Enterprise Storage Platform with special emphasis on the System Z integration capabilities. December 2017
This document provides examples of using SQL commands in DB2 to create and manage database tables, insert and query data, create views, and more. It shows how to start and connect to a DB2 database instance named "sample", create tables like "EMPLOYEE" and insert sample records, perform joins, unions and other queries, update and delete records, create a view, list tables, and shut down the DB2 instance. The examples demonstrate basic and some advanced SQL features in DB2.
DB2 is a database manager that runs on Linux, Unix, and Windows operating systems. It allows users to catalog databases, start and stop instances, and configure parameters. Key commands for managing DB2 include db2icrt for creating instances, db2idrop for dropping instances, db2ilist for listing instances, and db2set for setting configuration parameters at the global, instance, and node level. The db2set command provides centralized control over environmental variables.
Presentation db2 best practices for optimal performancesolarisyougood
This document summarizes best practices for optimizing DB2 performance on various platforms. It discusses sizing workloads based on factors like concurrent users and response time objectives. Guidelines are provided for selecting CPUs, memory, disks and platforms. The document reviews physical database design best practices like choosing a page size and tablespace design. It also discusses index design, compression techniques, and benchmark results showing DB2's high performance.
DB2 runs on 5 address spaces that each perform essential functions:
- DSNMSTR controls connections to other systems and performs logging, recovery, and system management.
- DSNDBM1 supports data definition, manipulation, and retrieval.
- IRLMPROC controls concurrent data access and maintains integrity through locking.
- DSNDIST enables remote access to distributed databases.
- DSNSPAS provides an isolated environment to execute stored procedures.
DB2 is a relational database developed by IBM that supports SQL and the relational model. It has various editions including Advanced Enterprise Server Edition and Express Edition. DB2 uses a multi-tier architecture with components like SSAS, DBAS, and IRLM. It manages data through logical objects like tables and physical objects like tablespaces and databases. Tables are stored in tablespaces which are contained within databases. DB2 supports data types, null values, indexes, and referential integrity through primary keys, unique keys, and foreign keys to link tables.
Best practices for DB2 for z/OS log based recoveryFlorence Dubois
The need to perform a DB2 log-based recovery of multiple objects is a very rare event, but statistically, it is more frequent than a true disaster recovery event (flood, fire, etc). Taking regular backups is necessary but far from sufficient for anything beyond minor application recovery. If not prepared, practiced and optimised, it can lead to extended application service downtimes – possibly many hours to several days. This presentation will provide many hints and tips on how to plan, design intelligently, stress test and optimise DB2 log-based recovery.
The document provides an overview of various MySQL storage engines. It discusses key storage engines like MyISAM, InnoDB, MEMORY, and MERGE. It describes that storage engines manage how data tables are handled and each engine has its own advantages and purposes. The selection of a storage engine depends on the user's table type and purpose, considering factors like transactions, backups, and special features.
The document discusses the benefits of using tape storage for backup and archiving large amounts of data. Tape provides low cost, high capacity storage when compared to disk and flash alternatives. Features such as air gaps between live systems and offline tape backups provide strong protection against ransomware and other cyber threats. With continued improvements in areal density, a single tape cartridge can now hold over 200 terabytes of data, growing cheaper and more scalable over time. Tape remains a critical technology for cost-effectively storing the massive amounts of cold and archived data being generated.
This document discusses the relationship between DB2 and storage management. It describes how DB2 uses storage through tablespaces, indexes, and other objects that are stored on disk as VSAM data sets. It also discusses how DB2 interacts with DFSMS to manage data sets and how storage groups and SMS can be used to simplify storage administration for DB2 objects. While DB2 provides storage management features, there is still a gap between DBA and storage administration that tools can help address.
This document summarizes an overview presentation on SQL Server basics for non-database administrators. It covers SQL Server 2005 platform features, managing databases, database maintenance and protection, securing SQL Server, and managing database objects. The document provides high-level information on these SQL Server administration topics in less than 3 sentences.
The document describes various DB2 online utilities including UNLOAD, LOAD, REBUILD INDEX, COPY, RECOVER, RUNSTATS, MODIFY RECOVERY, QUIESCE, and REORG. These utilities perform functions like unloading and loading data, rebuilding indexes, taking image copies of data, recovering data to a prior point in time, updating catalog statistics, and reorganizing tablespaces.
The document discusses Oracle Database Vault, which provides an integrated security framework to control access to databases based on factors like network, users, privileges, roles, and SQL commands. It achieves separation of duties and prevents misuse of powerful privileges. Database Vault enforces compliance requirements and supports database consolidation while requiring no application changes and having minimal performance impact.
This document discusses IBM DB2 9 security. It covers authentication types that control where user passwords are verified, such as at the client or server. It also discusses authorities like SYSADM, SYSCTRL, and DBADM that control administrative privileges and database access. The document defines database privileges for actions like connecting to a database or creating tables.
This PPT File, helps with the Basic Interview Questions specially for DataBase Domain.. For more questions , please log in to www.rekruitin.com
By ReKruiTIn.com
The document discusses DB2 architecture and concepts. It explains that each DB2 installation has a Database Administration Server (DAS) that provides remote administration support. It also discusses the DB2 Profile Registry, which stores configurable settings. The document then covers the instance concept, noting that an instance is a set of processes, disk, and memory allocations that provide database services and can contain one or more databases.
DB2 is a relational database management system that runs on IBM mainframes. It uses SQL for data manipulation and definition. A COBOL program can use DB2 services by including host variables, a SQL communication area, and SQL statements. DB2 has major components including system services, locking services, database services, and distributed data facility. The database services component handles tasks like precompiling, binding, running SQL statements, data management, and buffer management.
The document provides an overview of basic concepts related to SQL server databases including database objects, file systems, storage structures, and query processing. It discusses topics like SQL server databases, storage files and file groups, data pages and extents, data organization in heaps vs indexed tables, and how queries are processed through either full table scans or using indexes.
This document discusses IBM DB2 10.5 with BLU Acceleration. It introduces BLU Acceleration as a new technology that uses column-organized tables to provide significant improvements to storage, query performance, ease of use, and time-to-value for analytic workloads. The document outlines seven main ideas behind BLU Acceleration, including compute-friendly encoding and compression, keeping data compressed during evaluation, multiplying the power of CPUs using SIMD processing, core-friendly parallelism, working directly on columns to minimize I/O, and extreme data compression.
Oracle dba interview questions with answerupenpriti
This document contains 10 questions about Oracle DBA interview questions and their answers. It covers topics like components of the SGA, the order in which Oracle processes SQL statements, mandatory datafiles for an Oracle 11g database, and how sessions communicate with the database. The questions test knowledge of Oracle architecture, processes, memory structures, and common administrative tasks.
"Dear Students,
Greetings from www.etraining.guru
We provide BEST online training for IBM DB2 LUW/UDB DBA by a database architect. Our DB2 Trainer comes with a working experience of 11+ years, 9+ years in DB2 and a DB2 certified professional.
DB2 LUW DBA Course Content: http://www.etraining.guru/course/dba/online-training-db2-luw-udb-dba
Course Cost: USD 350 (or) INR 21000
Number of Hours: 30-35 hours
Regards,
Karthik
www.etraining.guru
IBM Spectrum Scale for File and Object StorageTony Pearson
This document discusses IBM Spectrum Scale, which provides universal access to files and objects across data centers. It can scale to support up to 18 quintillion files per file system and 256 file systems per cluster. IBM Spectrum Scale provides high performance, proven reliability, and flexible access to data through various file and object protocols. It can be deployed as software on various systems, as pre-built systems, or as cloud services. The document outlines the various capabilities and uses of IBM Spectrum Scale, such as file management policies, caching, encryption, protocol servers, integration with Hadoop and backup/disaster recovery.
IBM DS8880 and IBM Z - Integrated by DesignStefan Lein
This Presentation shows the strength of the IBM DS8880 Enterprise Storage Platform with special emphasis on the System Z integration capabilities. December 2017
This document provides examples of using SQL commands in DB2 to create and manage database tables, insert and query data, create views, and more. It shows how to start and connect to a DB2 database instance named "sample", create tables like "EMPLOYEE" and insert sample records, perform joins, unions and other queries, update and delete records, create a view, list tables, and shut down the DB2 instance. The examples demonstrate basic and some advanced SQL features in DB2.
DB2 is a database manager that runs on Linux, Unix, and Windows operating systems. It allows users to catalog databases, start and stop instances, and configure parameters. Key commands for managing DB2 include db2icrt for creating instances, db2idrop for dropping instances, db2ilist for listing instances, and db2set for setting configuration parameters at the global, instance, and node level. The db2set command provides centralized control over environmental variables.
Presentation db2 best practices for optimal performancesolarisyougood
This document summarizes best practices for optimizing DB2 performance on various platforms. It discusses sizing workloads based on factors like concurrent users and response time objectives. Guidelines are provided for selecting CPUs, memory, disks and platforms. The document reviews physical database design best practices like choosing a page size and tablespace design. It also discusses index design, compression techniques, and benchmark results showing DB2's high performance.
DB2 runs on 5 address spaces that each perform essential functions:
- DSNMSTR controls connections to other systems and performs logging, recovery, and system management.
- DSNDBM1 supports data definition, manipulation, and retrieval.
- IRLMPROC controls concurrent data access and maintains integrity through locking.
- DSNDIST enables remote access to distributed databases.
- DSNSPAS provides an isolated environment to execute stored procedures.
DB2 is a relational database developed by IBM that supports SQL and the relational model. It has various editions including Advanced Enterprise Server Edition and Express Edition. DB2 uses a multi-tier architecture with components like SSAS, DBAS, and IRLM. It manages data through logical objects like tables and physical objects like tablespaces and databases. Tables are stored in tablespaces which are contained within databases. DB2 supports data types, null values, indexes, and referential integrity through primary keys, unique keys, and foreign keys to link tables.
Best practices for DB2 for z/OS log based recoveryFlorence Dubois
The need to perform a DB2 log-based recovery of multiple objects is a very rare event, but statistically, it is more frequent than a true disaster recovery event (flood, fire, etc). Taking regular backups is necessary but far from sufficient for anything beyond minor application recovery. If not prepared, practiced and optimised, it can lead to extended application service downtimes – possibly many hours to several days. This presentation will provide many hints and tips on how to plan, design intelligently, stress test and optimise DB2 log-based recovery.
The document provides an overview of various MySQL storage engines. It discusses key storage engines like MyISAM, InnoDB, MEMORY, and MERGE. It describes that storage engines manage how data tables are handled and each engine has its own advantages and purposes. The selection of a storage engine depends on the user's table type and purpose, considering factors like transactions, backups, and special features.
The document discusses the benefits of using tape storage for backup and archiving large amounts of data. Tape provides low cost, high capacity storage when compared to disk and flash alternatives. Features such as air gaps between live systems and offline tape backups provide strong protection against ransomware and other cyber threats. With continued improvements in areal density, a single tape cartridge can now hold over 200 terabytes of data, growing cheaper and more scalable over time. Tape remains a critical technology for cost-effectively storing the massive amounts of cold and archived data being generated.
This document discusses the relationship between DB2 and storage management. It describes how DB2 uses storage through tablespaces, indexes, and other objects that are stored on disk as VSAM data sets. It also discusses how DB2 interacts with DFSMS to manage data sets and how storage groups and SMS can be used to simplify storage administration for DB2 objects. While DB2 provides storage management features, there is still a gap between DBA and storage administration that tools can help address.
This document summarizes an overview presentation on SQL Server basics for non-database administrators. It covers SQL Server 2005 platform features, managing databases, database maintenance and protection, securing SQL Server, and managing database objects. The document provides high-level information on these SQL Server administration topics in less than 3 sentences.
The document describes various DB2 online utilities including UNLOAD, LOAD, REBUILD INDEX, COPY, RECOVER, RUNSTATS, MODIFY RECOVERY, QUIESCE, and REORG. These utilities perform functions like unloading and loading data, rebuilding indexes, taking image copies of data, recovering data to a prior point in time, updating catalog statistics, and reorganizing tablespaces.
The document discusses Oracle Database Vault, which provides an integrated security framework to control access to databases based on factors like network, users, privileges, roles, and SQL commands. It achieves separation of duties and prevents misuse of powerful privileges. Database Vault enforces compliance requirements and supports database consolidation while requiring no application changes and having minimal performance impact.
This document discusses IBM DB2 9 security. It covers authentication types that control where user passwords are verified, such as at the client or server. It also discusses authorities like SYSADM, SYSCTRL, and DBADM that control administrative privileges and database access. The document defines database privileges for actions like connecting to a database or creating tables.
This document discusses database security and SQL injection attacks. It begins by defining databases and their components like tables, rows, and columns. It then explains relational databases and SQL. The document discusses SQL injection attacks in detail, providing examples of how attacks work and countermeasures. It also covers topics like role-based access control, inference, statistical databases, and database encryption.
This document discusses Row-Level Security (RLS) and Dynamic Data Masking in Microsoft SQL Server 2016. It provides an overview of RLS benefits like fine-grained access control and increased security. Examples demonstrate how to create a security policy with a filter predicate. Dynamic Data Masking helps prevent data abuse by masking sensitive data for unauthorized users according to a defined policy, without affecting the underlying data. Limitations include that masking cannot be used on certain column types.
[Mustafa Toroman, Saša Kranjac] More and more services we use every day are moving to cloud. This creates many challenges, especially if we look at things from security point of view. Taking services out of our datacenter, opens our data and services to new kind of threats but fortunately new tools are available to protect us. See from both perspectives how attackers can try to exploit our journey to cloud and how can we detect threats and stop attacks before they occur. We will show examples how Red Team attacks our Cloud and how Blue Team can detect and stop Red Team.
Database security and security in networksG Prachi
The document discusses database security and network security, including security requirements for databases like reliability, integrity and access control, threats in networks like firewalls and intrusion detection systems, and issues around sensitive data in databases like inference where sensitive data can be deduced from aggregate queries and statistical databases. It also covers security models for databases including discretionary access control using views, roles and privileges and mandatory access control using security labels.
This document provides an overview of security in DB2 9.7. It discusses authentication with options like LDAP and Kerberos. It covers authorization using database roles and row- and column-level access control (LBAC). Auditing capabilities with native and Guardium auditing are described. It also discusses data encryption in transit using SSL and trusted contexts for conditional authorization in application servers.
Creating a Multi-Layered Secured Postgres DatabaseEDB
Join EDB’s SVP of Product Development and Support, Marc Linster in this webinar, he discusses the process of creating a multi-layered security architecture for your Postgres database.
During this session, we will cover:
- Aspects of Data Security
- Authentication, Authorization & Auditing
- Multiple Layers of Security
Learn security best practices for managing your Postgres databases.
The document discusses securing classified networks and sensitive data through the use of a Secure Network Access Platform (SNAP). SNAP allows users to securely access multiple isolated security domains from a single thin client desktop while preserving network isolation. It implements role-based access control, mandatory access controls, and label-based security to control access between security domains. SNAP leverages the security capabilities of the Solaris 10 operating system with Trusted Extensions to provide a certified, multi-level secure computing environment for government users.
This document discusses various network security mechanisms including firewalls, intrusion detection systems, encryption, authentication, and wireless security. It covers Cisco router security strategies for the different network planes (data, control, management, service). It also discusses Windows server security topics such as centralized user authentication, group policy, and the roles of DNS, DHCP, FTP, VPN, and ISA servers. Wireless security standards, topologies, and attacks are explained as well as protocols like WEP, WPA, and WPA2.
SQL Server 2005 introduced enhancements to security including:
1. Authentication can specify SSL or mutual authentication with client certificates. Authorization establishes login credentials and permissions within a database.
2. A new security model separates users from schemas, allowing dropping a user without breaking applications. Users have a default schema and objects are contained within schemas.
3. Cryptography support provides encryption, decryption, signing and verification functions including symmetric and asymmetric keys. Permissions in SQL 2005 allow finer-grained control at the row level and module execution context.
Database security technique with database cacheIJARIIT
Today people are depending more on the corporate data for decision making, management of customer service and
supply chain management etc. Any loss, corrupted data or unavailability of data may seriously affect its performance. The
database security should provide protected access to the contents of a database and should preserve the integrity, availability,
consistency, and quality of the data in this paper, we analyze and compare five traditional architectures for database encryption.
We show that existing architectures may provide a high level of security, but have a significant impact on performance and
impose major changes to the application layer, or may be transparent to the application layer and provide high performance, but
have several fundamental security weaknesses. We suggest a sixth novel architecture that was not considered before. The new
architecture is based on placing the encryption module inside the database management software (DBMS), just above the
database cache, and using a dedicated technique to encrypt each database value together with its coordinates.
Database Security Introduction,Methods for database security
Discretionary access control method
Mandatory access control
Role base access control for multilevel security.
Use of views in security enforcement
The document discusses various topics related to database security including discretionary access control based on granting and revoking privileges, mandatory access control and role-based access control for multilevel security, statistical database security, flow control, encryption, and public key infrastructures. It provides examples of how discretionary access control works by granting privileges to users and revoking privileges. It also describes how mandatory access control enforces multilevel security by classifying data and users into security classes and how role-based access control associates permissions with roles.
This document provides an overview and summary of security features in SQL Server 2014/2016 and 2017, including row-level security, dynamic data masking, always encrypted, and backup encryption. It describes the benefits of each feature, such as providing fine-grained access control, regulatory compliance, sensitive data protection, and increasing security of backups. Examples and concepts are provided for row-level security and key provisioning for always encrypted. The document is authored by Maximiliano Accotto, a data platform MVP since 2005.
This document provides an overview and summary of security features in SQL Server 2014/2016 and 2017, including row-level security, dynamic data masking, always encrypted, and backup encryption. It describes the benefits of each feature, such as providing fine-grained access control, regulatory compliance, sensitive data protection, and increasing security of backups. Code examples are given for row-level security and backup encryption. The document aims to educate readers on maximizing data security using these SQL Server capabilities.
TechEd Africa 2011 - OFC308: SharePoint Security in an Insecure World: Unders...Michael Noel
One of the biggest advantage of using SharePoint as a Document Management and collaboration environment is that a robust security and permissions structure is built-in to the application itself. Authenticating and authorizing users is a fairly straightforward task, and administration of security permissions is simplified. Too often, however, security for SharePoint stops there, and organizations don’t pay enough attention to all of the other considerations that are part of a SharePoint Security stack, and more often than not don’t properly build them into a deployment. This includes such diverse categories including Edge, Transport, Infrastructure, Data, and Rights Management Security, all areas that are often neglected but are nonetheless extremely important. This session discusses the entire stack of Security within SharePoint, from best practices around managing permissions and ACLs to comply with Role Based Access Control, to techniques to secure inbound access to externally-facing SharePoint sites. The session is designed to be comprehensive, and includes all major security topics in SharePoint and a discussion of various real-world designs that are built to be secure. • Understand how to use native technologies to secure all layers of a SharePoint environment, including Data, Transport, Infrastructure, Edge, and Rights Management. • Examine tools and technologies that can help secure SharePoint, including AD Rights Management Services, Forefront Unified Access Gateway, SQL Transparent Data Encryption, and more. • Understand a Role-Based Access Control (RBAC) permissions model and how it can be used to gain better control over authorization and access control to SharePoint files and data
This document discusses database concepts and security models. It covers relational database concepts like tables, relations, attributes, tuples, primary keys and foreign keys. It then discusses security requirements for databases like physical integrity, logical integrity, element integrity, auditability, access control and availability. It describes the SQL security model of users, actions, objects, privileges and views. It also covers weaknesses of the discretionary access control model and alternatives like mandatory access controls.
Concurrent And Independent Access To Encrypted Cloud DatabasesEditor IJMTER
Since data in cloud will be placed anywhere, because of the critical nature of the applications, it
is important that clouds be secure. The major security challenge with clouds is that the owner of the data
may not have control of where the data is placed. This is because if one wants to exploit the benefits of using
cloud computing. This requirement imposes clear data management choices: original plain data must be
accessible only by trusted parties that do not include cloud providers, intermediaries, and Internet; in any
untrusted context, data must be encrypted. Satisfying these goals has different levels of complexity
depending on the type of cloud service.
We propose SecureDBaaS as the first solution that allows cloud tenants to take full advantage of
DBaaS qualities, such as availability, reliability, and elastic scalability, without exposing unencrypted data
to the cloud provider. The architecture design was motivated by goal: to allow multiple, independent, and
geographically distributed clients to execute concurrent operations on encrypted data, including SQL
statements that modify the database structure.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Letter and Document Automation for Bonterra Impact Management (fka Social Sol...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on automated letter generation for Bonterra Impact Management using Google Workspace or Microsoft 365.
Interested in deploying letter generation automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Trusted Execution Environment for Decentralized Process MiningLucaBarbaro3
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
DB2 Security Model
1. IN THE NAME OF ALLAH
DB2 Security Model
Class Presentation of Database Security Course At Tarbiat Modares University
Presentators:
Narges Poorkamali
Yeganeh Ghayour Baghbani
Professor:
Dr. Sadegh Dorri Nogorani
Fall Semester: 1398-99
Presentation Date: 1398/10/18
1
3. Introducing IBM DB2
3
Why use DB2 Database?
Create by IBM company in 1993
The most powerful Database Engine
Relational Database
Data Warehouse
Free Version
Stuctured & UnStuctured
SQL & NO SQL
Data Mining
Disater Rcovery
Scalability
Security
In Memory
Replication
Encription
BLU Acceleration
5. IBM Data Server Manager
(DSM)
5
A web-based integrated database
management tool platform:
Database Administrator
Health and Performance
Monitoring
Performance Management
Database Client Management
6. During an SQL statement processing, the
permissions that the DB2 authorization model
considers are the union of the following
permissions:
The permissions granted to the primary
authorization ID associated with the SQL statement
The permissions granted to the secondary
authorization IDs (groups or roles) associated
with the SQL statement
The permissions granted to PUBLIC, including
roles that are granted to PUBLIC, directly or
indirectly through other roles
The permissions granted to the trusted context
role, if applicable.
6
Authorization
7. 7
DB2 manages
authorizations at three
different levels:
Instance
Database
Object
Because of the changes in
DB2 9.7, it is easiest to
represent the permissions in
multiple diagrams. First, the
Permissions at the instance
level for:
1) SYSADM(system administrator)
2) SYSCTRL(system controler)
3) SYSMAINT(system maintenance)
4) SYSMON(system monitoring)
Authorization
11. When to use LBAC for row level
authorization?
Government applications that
manage classified information
(intelligence, defense, etc.)
Non government applications
where:
Data classification is known
Data classification can be
represented by one or more LBAC
security label components
Authorization rules can be mapped
to the security label component
rules
If any of the above is not possible,
then views are a better alternative
for row level authorization.
11
LBAC
Label-Based Access Control
12. When to use LBAC for column
level authorization?
Control access to a sensitive
column (e.g., social security
number, credit card number, etc.)
Protect the data in the table from
access by table owner, or DBAs
Assign a security label to all
columns in the table
Assign that security label to a role
Assign that role to all users who
need access to the table
Only users members in that role
will be able to access data in that
table
12
LBAC
Label-Based Access Control
13. 13
Table controls to protect SQL access to individual row level & individual column level:
Establish a row policy for a table
Filter rows out of answer set
Policy can use session information, e.g. the SQL ID is in what group or user is using what role, to
control which row is returned in result set
Applicable to SELECT, INSERT, UPDATE, DELETE, & MERGE
Defined as a row permission
Establish a column policy for a table
Mask column values in answer set
Policy can use session information, e.g. the SQL ID is in what group or user is using what role, to
control what masked value is returned in result set
Applicable to the output of outermost subselect
Defined as column masks
Define table policies based on who or how table is being accessed
Managing row and column access controls
RCAC
Row and column access control
14. 14
RCAC
Row and column access control
Rules about row and column access:
Not enforced for RI, CHECK, or UNIQUE CONSTRAINT
Preserve data integrity
Require secure triggers
CREATE or ALTER TRIGGER with the SECURED option
Managed by SECADM or new privilege CREATE_SECURE_OBJECT
Rebind trigger packages implicitly after ALTER TRIGGER
Require secure UDFs
Referenced in the row permission and column mask definition
CREATE or ALTER TRIGGER with the SECURED option
Managed by SECADM or new privilege CREATE_SECURE_OBJECT
Populate access control information in EXPLAIN tables
Can activate access control on EXPLAIN tables
No support for MQT and set operations
15. Online Backup vs Offline backup
Target location specified when you invoke the backup utility. This location can be:
A directory in file system (for backups to disk or diskette)
A device (for backups to tape)
A Tivoli Storage Manager (TSM) server
Another vendor's server
Cloud
15
IBM Tivoli Storage Manager is an
enterprise-wide storage management
application. It provides automated
storage management services to
workstations, personal computers, and
file servers from various vendors, with
various operating systems.
Backup and Recovery
16. DB2 Native
Encryption
IBM InfoSphere
Gardium
Encrypted File
System(EFS)
SSL
Db2 native encryption
provides a built-in
encryption capability to
protect database backup
images and key database
files from inappropriate
access while they are at
rest on external storage
media.
IBM InfoSphere Guardium
Data Encryption is a
comprehensive software
data security solution that
when used in conjunction
with native Db2 security
provides effective
protection of the data and
the database application
against a broad array of
threats.
If you are running a Db2
system on the AIX operating
system, you have the option
to set up an encrypted
database by using AIX
encrypted file system (EFS).
For detailed information
about EFS, see your AIX
documentation.
The Db2 database system
supports SSL, which means
that a Db2 client
application that also
supports SSL can connect
to a Db2 database by using
a SSL socket. CLI, CLP, and
.Net Data Provider client
applications and
applications that use the
IBM Data Server Driver for
JDBC and SQLJ (type 4
connections) support SSL.
16
Data Encryption
17. HIGHLIGHTS:
Encrypt online data
Encrypt backups
Transparent to
application
Transparent to
schema
Secure and
transparent key
management
Exploits hardware
acceleration such as
the Intel AES-NI
FIPS 140-2 certified
encryption libraries
NIST compliant use of
cryptography
Easy to deployed in
cloud, software or
appliance
Runs wherever DB2
runs 17
Key Management:
Industry standard 2-
tier model
Actual data is
encrypted with a data
encryption key(DEK)
DEK is encrypted
with a Master Key
(MK)
DEK is managed
within the database
while the MK is
manage externally
The MK is managed
in a PKCS#12
compliant local GSKit
based keystore
Data Encryption
DB2 Native Encryption
18. A trusted context is a new object that is defined based upon a system
authorization ID, and one or more sets of connection trust attributes where
each set defines at least one connection trust attribute:
System authorization ID
Connection trust attributes
The trust relationship is based upon the following set of attributes:
1. System authorization ID: Represents the user that establishes a database
connection
2. IP address (or domain name): Represents the host from which a database
connection is established
3. Data stream encryption: Represents the encryption setting (if any) for the
data communication between the database server and the database client
Trusted connection allows the initiator of this trusted connection to
acquire additional capabilities that may not be available outside the scope of
the trusted connection. The additional capabilities vary depending on
whether the trusted connection is explicit or implicit.
The initiator of an explicit trusted connection has the ability to:
1. Switch the current user ID on the connection to a different user ID with
or without authentication
2. Acquire additional privileges via the role inheritance feature of trusted
contexts
18
Trusted Context and Connection
19. 19
Database replication solution from IBM
Multi platform: Window, Linux, Unix
Changes to database captured in realtime
Captures inserts updates and deletes
Centralized platform
Low impact capture and fast delivery of changes to database
Helps reduce processing overhead by sending only changes thereby
removing the need for additional steps to detect changes
Reduce network traffic by sending only changed or new data instead of
entire data
Has three component:
Change data capture(CDC)
SQL replication:
In SQL Replication, committed source changes are staged in
relational tables before being replicated to target systems.
Q replication:
In Q Replication, committed source changes are written in messages
that are transported through MQ queues to target systems.
InfoSphere Data Replication
Data Server Manager (DSM) is a tool that consolidates many of the monitoring, tuning, configuration and administration tools for DB2 and adds some nice new features as well. It allows you do to these tasks for all of your DB2 (LUW and Z) databases in one centralized tool.
Data Server Manager (DSM) is a tool that consolidates many of the monitoring, tuning, configuration and administration tools for DB2 and adds some nice new features as well. It allows you do to these tasks for all of your DB2 (LUW and Z) databases in one centralized tool.