Database recovery is the process of restoring a database to its most recent consistent state before a failure occurred. The purpose is to preserve the ACID properties of transactions and bring the database back to the last consistent state prior to the failure. Database failures can occur due to transaction failures, system failures, or media failures. A good recovery plan is important for making a quick recovery from failures.
This document discusses best practices for backup and recovery planning. It covers common backup and recovery topics like different backup methods and topologies, the backup process, and managing backups. It also provides an overview of a typical backup application and the importance of backup reports and catalogs. The document is made up of multiple lessons intended to describe backup and recovery concepts and considerations.
Recovery Techniques and Need of RecoveryPooja Dixit
Recovery Techniques and Need of Recovery, 3 states of database Recovery:, DBMS Failure , Transaction Failure…, System Crash…, Disk Failure…,LOG BASED , CONCURRENT TRANSACTION, Checkpoint…
What is an Database Administrator and What is the role of Database Adminsitraor,Daily monitoring of alert logs, removal of trace files to provide the high availability for database access to users and application.
Responsible for taking the backups regularly and restore the backup as per the requirement.
Resolving the bugs in databases by interacting with oracle metalink and applying oracle patches to fix the bugs.
Ensure all the Disaster Recovery databases are in synchronize with production databases to provide the high availability.
Responsible for switching the roles of databases during maintenance. activities and reverting the roles back after the completion of activities.
Preparing Daily Check List and Weekly Reports.
Database migration and up gradation processes
This document discusses different areas and methods of data processing. It covers two main areas: business data processing which involves large volumes of input/output data and limited calculations, and scientific data processing which involves limited input data but many calculations. The key data processing operations are recording, verifying, duplicating, classifying, calculating, summarizing, reporting, merging, storing, retrieving, and feedback. The main methods of processing data are batch processing, online processing, real-time processing, and distributed processing.
Ch17 introduction to transaction processing concepts and theorymeenatchi selvaraj
This document discusses transaction processing concepts and theory. It begins with an introduction to transaction processing in multi-user database systems and defines what a transaction is. Transactions must satisfy properties like atomicity, consistency, isolation, and durability. The document covers why concurrency control and recovery are needed when transactions execute concurrently. It describes transaction states and operations involved in transaction processing like commit and rollback. The system log is used to track transaction operations for recovery from failures.
Database recovery is the process of restoring a database to its most recent consistent state before a failure occurred. The purpose is to preserve the ACID properties of transactions and bring the database back to the last consistent state prior to the failure. Database failures can occur due to transaction failures, system failures, or media failures. A good recovery plan is important for making a quick recovery from failures.
This document discusses best practices for backup and recovery planning. It covers common backup and recovery topics like different backup methods and topologies, the backup process, and managing backups. It also provides an overview of a typical backup application and the importance of backup reports and catalogs. The document is made up of multiple lessons intended to describe backup and recovery concepts and considerations.
Recovery Techniques and Need of RecoveryPooja Dixit
Recovery Techniques and Need of Recovery, 3 states of database Recovery:, DBMS Failure , Transaction Failure…, System Crash…, Disk Failure…,LOG BASED , CONCURRENT TRANSACTION, Checkpoint…
What is an Database Administrator and What is the role of Database Adminsitraor,Daily monitoring of alert logs, removal of trace files to provide the high availability for database access to users and application.
Responsible for taking the backups regularly and restore the backup as per the requirement.
Resolving the bugs in databases by interacting with oracle metalink and applying oracle patches to fix the bugs.
Ensure all the Disaster Recovery databases are in synchronize with production databases to provide the high availability.
Responsible for switching the roles of databases during maintenance. activities and reverting the roles back after the completion of activities.
Preparing Daily Check List and Weekly Reports.
Database migration and up gradation processes
This document discusses different areas and methods of data processing. It covers two main areas: business data processing which involves large volumes of input/output data and limited calculations, and scientific data processing which involves limited input data but many calculations. The key data processing operations are recording, verifying, duplicating, classifying, calculating, summarizing, reporting, merging, storing, retrieving, and feedback. The main methods of processing data are batch processing, online processing, real-time processing, and distributed processing.
Ch17 introduction to transaction processing concepts and theorymeenatchi selvaraj
This document discusses transaction processing concepts and theory. It begins with an introduction to transaction processing in multi-user database systems and defines what a transaction is. Transactions must satisfy properties like atomicity, consistency, isolation, and durability. The document covers why concurrency control and recovery are needed when transactions execute concurrently. It describes transaction states and operations involved in transaction processing like commit and rollback. The system log is used to track transaction operations for recovery from failures.
This document provides an overview of various components of computer memory hierarchy, including main memory, auxiliary memory, associative memory, cache memory, virtual memory, and memory management hardware. Main memory uses RAM and ROM chips as primary storage during runtime. Auxiliary memory includes magnetic disks and tapes for long-term secondary storage. Associative memory allows for fast parallel searches. Cache memory acts as a buffer between the CPU and main memory for frequently accessed data. Virtual memory allows programs to access secondary storage as if it were main memory. Memory management hardware in operating systems allocates and manages memory usage between processes.
This document discusses database administration and security. It defines the roles of the data administrator and database administrator. The data administrator manages data development and standards, while the database administrator manages physical implementation, security, and performance. The document also discusses database security threats and countermeasures like authorization, backups, encryption, and RAID hardware configurations which improve reliability.
Chapter 9 introduction to transaction processingJafar Nesargi
This document provides an introduction to transaction processing in database management systems. It discusses key concepts such as transactions, concurrency control, recovery from failures, and desirable transaction properties. The main points covered are:
- A transaction is a logical unit of work that includes database operations that must succeed as a whole or fail as a whole.
- Concurrency control is needed to prevent problems that can arise from uncontrolled concurrent execution of transactions, such as lost updates or dirty reads.
- Recovery is required to handle failures and ensure transactions are fully committed or rolled back. The system log tracks transaction operations.
- Desirable transaction properties include atomicity, consistency, isolation, and durability.
Introduction to transaction processing concepts and theoryZainab Almugbel
Modified version of Chapter 21 of the book Fundamentals_of_Database_Systems,_6th_Edition with review questions
as part of database management system course
Management inofrmation system basics by ram k paliwalRam Paliwal
This document defines information systems and describes their key components. It provides several definitions of information systems that focus on the technological components (hardware, software, data) that make up information systems and their role in supporting organizational processes and decision-making. The document outlines the five core components of information systems: hardware, software, data, people, and processes. It provides a brief description of each component, emphasizing that while technology is important, people and processes are what truly define information systems.
This document discusses data backup, recovery, and disaster planning. It defines backup as creating duplicate copies of important data and explains different backup types (full, incremental, differential). Backup media include tapes, disks, and optical storage. Creating a backup schedule, testing restores, and storing backups securely and offsite are recommended. Disaster recovery involves restoring systems after damage and includes strategies like automated recovery, backing up open files, and maintaining hot, warm or cold backup sites.
A closer quick understanding of different backup technologies and pros and cons backup & recovery,ntbackup,types of backups, windows backup path so far, differential backup, incremental backup, full backup, mirror backup. If you have have anyqueries please contact me at jabvtl@gmail.com
This document provides information about database management systems. It defines a DBMS as a software tool used to create, organize, and manage data in a database. It notes that a DBMS contains information about a particular enterprise. The document also describes the components and types of databases, and explains that DBMS are important for organizations to manage databases and identify relationships in data. It lists advantages like controlling redundancy and consistency, and disadvantages such as costs of hardware, software, staff training, and data conversion.
The document categorizes information systems as either operations support systems or management support systems. Operations support systems process transactional data to support daily business operations, including transaction processing systems, process control systems, and office automation systems. Management support systems provide information and decision support, including management information systems, decision support systems, executive support systems, and enterprise systems which integrate business functions across an organization.
The system development life cycle (SDLC) consists of 5 phases: 1) Planning, 2) Analysis, 3) Design, 4) Implementation, and 5) Maintenance. In the planning phase, project requests are reviewed and resources are allocated. During analysis, the current system is studied and user requirements are determined. In design, system details and hardware/software needs are developed. Next, implementation involves developing programs, testing the new system, training users, and converting to the new system. Finally, maintenance includes performing updates, monitoring performance, and ensuring security.
This document discusses transaction processing systems (TPS). It defines a TPS as an information system that captures and processes data from daily business transactions like deposits, payments, orders or reservations. A TPS has several functions including processing transactions, outputting information, and accepting user inputs. It discusses the differences between batch processing, which collects and stores data to update databases later, and real-time processing, which immediately processes transactions. Key features of TPS include rapid response, reliability, inflexibility, and controlled processing. TPS must pass the ACID test of atomicity, consistency, isolation and durability to qualify. The document outlines the five stages of transaction processing: data entry, processing, database maintenance, document/report
Unit no 5 transation processing DMS 22319ARVIND SARDAR
The document discusses transaction processing and database backups and recovery. It defines a transaction as a group of tasks that must follow the ACID properties of atomicity, consistency, isolation, and durability. The states of transactions are described as active, partially committed, committed, failed, and aborted. Different types of database backups are explained including full, incremental, differential, and mirror backups. Database recovery involves rolling forward to apply redo logs and rolling back to undo uncommitted changes using rollback segments in order to restore the database to a consistent state.
This presentation discusses about the following topics:
Transaction processing systems
Introduction to TRANSACTION
Need for TRANSACTION
Operations
Transaction Execution and Problems
Transaction States
Transaction Execution with SQL
Transaction Properties
Transaction Log
The document discusses processor management in operating systems. It describes how operating systems use process scheduling to manage multiple processes running simultaneously on the CPU. Processes have a lifecycle that involves different states like ready, running, waiting etc. The processor manager consists of a job scheduler and process scheduler. The job scheduler balances groups of processes to optimize resource usage while the process scheduler selects the next process to run on the CPU using different scheduling algorithms like FCFS, priority scheduling, round robin etc. Each process is associated with a process control block that stores its state and execution details.
The document provides information about computers and their basic components. It states that a computer is an electronic device that can accept data as input, process it according to stored instructions, produce output, and store information for future use. The basic parts of a computer are the input unit, output unit, control unit, arithmetic logic unit, and memory. The input unit allows data and instructions to be entered, the output unit provides information to the user, the control unit controls all functions, the arithmetic logic unit performs calculations, and memory stores programs and data. Hardware refers to the physical and tangible parts of a computer while software refers to the instructions that tell the computer what to do.
The document discusses data center tiers as defined by the Uptime Institute. There are four tiers that classify data centers based on infrastructure and downtime. Tier 1 has the lowest availability at 99.67% uptime. Tier 2 improves on Tier 1 with redundant components. Tier 3 is concurrently maintainable with 99.98% uptime. Tier 4 is fault tolerant with 99.995% uptime and fully redundant power and cooling. The appropriate tier depends on a company's business needs and tolerance for downtime.
This document discusses various countermeasures for database security including authorization, authentication, backups, journalizing, encryption, RAID technology, user-defined procedures, and checkpoints. It also discusses responses to different types of database failures such as aborted transactions, incorrect data, system failures with the database intact, and total database destruction. The preferred and alternative recovery approaches are outlined for each failure scenario.
The document is an operations and maintenance transition plan template to facilitate migrating an application system from development to production. It provides sections and suggestions for including information on the product scope, relationships to other projects, transition strategies and schedule, resource requirements, acceptance criteria, management controls, and reporting procedures. The template also includes a sample work breakdown structure as an appendix.
This document discusses common mistakes that compromise cooling performance in data centers and network rooms. It examines five categories of typical mistakes: airflow in the rack, rack layout, load distribution, cooling settings, and air delivery/return vent layout. Mistakes such as omitting blanking panels, improper rack layout, and obstructed airflow can cause hot spots, decrease fault tolerance, reduce efficiency and capacity, increasing costs by up to 25% over the lifetime of the data center. The document provides solutions to address each problem through standardized racks, blanking panels, proper hot/cold aisle layout, unobstructed airflow, and policies to prevent these issues.
The document outlines several key functions of an operating system: memory management, processor management, device management, file management, and other functions like security, performance control, job accounting, error detection, and coordination between software and users. Specifically, an operating system tracks system resources like memory and processors, allocates resources to processes, and deallocates them when no longer needed to manage a computer system efficiently.
The document discusses database backup and recovery basics. It defines redo log files and archived log files, with redo logs recording changes made to the database for recovery and archived logs copying redo log contents for recovery. It also covers the goals of database administrators to keep databases available, types of backups (physical and logical), categories of failures (media failures and user errors), configuring for recoverability including archive log files, and the differences between no archive log mode and archive log mode.
This document provides an overview of various components of computer memory hierarchy, including main memory, auxiliary memory, associative memory, cache memory, virtual memory, and memory management hardware. Main memory uses RAM and ROM chips as primary storage during runtime. Auxiliary memory includes magnetic disks and tapes for long-term secondary storage. Associative memory allows for fast parallel searches. Cache memory acts as a buffer between the CPU and main memory for frequently accessed data. Virtual memory allows programs to access secondary storage as if it were main memory. Memory management hardware in operating systems allocates and manages memory usage between processes.
This document discusses database administration and security. It defines the roles of the data administrator and database administrator. The data administrator manages data development and standards, while the database administrator manages physical implementation, security, and performance. The document also discusses database security threats and countermeasures like authorization, backups, encryption, and RAID hardware configurations which improve reliability.
Chapter 9 introduction to transaction processingJafar Nesargi
This document provides an introduction to transaction processing in database management systems. It discusses key concepts such as transactions, concurrency control, recovery from failures, and desirable transaction properties. The main points covered are:
- A transaction is a logical unit of work that includes database operations that must succeed as a whole or fail as a whole.
- Concurrency control is needed to prevent problems that can arise from uncontrolled concurrent execution of transactions, such as lost updates or dirty reads.
- Recovery is required to handle failures and ensure transactions are fully committed or rolled back. The system log tracks transaction operations.
- Desirable transaction properties include atomicity, consistency, isolation, and durability.
Introduction to transaction processing concepts and theoryZainab Almugbel
Modified version of Chapter 21 of the book Fundamentals_of_Database_Systems,_6th_Edition with review questions
as part of database management system course
Management inofrmation system basics by ram k paliwalRam Paliwal
This document defines information systems and describes their key components. It provides several definitions of information systems that focus on the technological components (hardware, software, data) that make up information systems and their role in supporting organizational processes and decision-making. The document outlines the five core components of information systems: hardware, software, data, people, and processes. It provides a brief description of each component, emphasizing that while technology is important, people and processes are what truly define information systems.
This document discusses data backup, recovery, and disaster planning. It defines backup as creating duplicate copies of important data and explains different backup types (full, incremental, differential). Backup media include tapes, disks, and optical storage. Creating a backup schedule, testing restores, and storing backups securely and offsite are recommended. Disaster recovery involves restoring systems after damage and includes strategies like automated recovery, backing up open files, and maintaining hot, warm or cold backup sites.
A closer quick understanding of different backup technologies and pros and cons backup & recovery,ntbackup,types of backups, windows backup path so far, differential backup, incremental backup, full backup, mirror backup. If you have have anyqueries please contact me at jabvtl@gmail.com
This document provides information about database management systems. It defines a DBMS as a software tool used to create, organize, and manage data in a database. It notes that a DBMS contains information about a particular enterprise. The document also describes the components and types of databases, and explains that DBMS are important for organizations to manage databases and identify relationships in data. It lists advantages like controlling redundancy and consistency, and disadvantages such as costs of hardware, software, staff training, and data conversion.
The document categorizes information systems as either operations support systems or management support systems. Operations support systems process transactional data to support daily business operations, including transaction processing systems, process control systems, and office automation systems. Management support systems provide information and decision support, including management information systems, decision support systems, executive support systems, and enterprise systems which integrate business functions across an organization.
The system development life cycle (SDLC) consists of 5 phases: 1) Planning, 2) Analysis, 3) Design, 4) Implementation, and 5) Maintenance. In the planning phase, project requests are reviewed and resources are allocated. During analysis, the current system is studied and user requirements are determined. In design, system details and hardware/software needs are developed. Next, implementation involves developing programs, testing the new system, training users, and converting to the new system. Finally, maintenance includes performing updates, monitoring performance, and ensuring security.
This document discusses transaction processing systems (TPS). It defines a TPS as an information system that captures and processes data from daily business transactions like deposits, payments, orders or reservations. A TPS has several functions including processing transactions, outputting information, and accepting user inputs. It discusses the differences between batch processing, which collects and stores data to update databases later, and real-time processing, which immediately processes transactions. Key features of TPS include rapid response, reliability, inflexibility, and controlled processing. TPS must pass the ACID test of atomicity, consistency, isolation and durability to qualify. The document outlines the five stages of transaction processing: data entry, processing, database maintenance, document/report
Unit no 5 transation processing DMS 22319ARVIND SARDAR
The document discusses transaction processing and database backups and recovery. It defines a transaction as a group of tasks that must follow the ACID properties of atomicity, consistency, isolation, and durability. The states of transactions are described as active, partially committed, committed, failed, and aborted. Different types of database backups are explained including full, incremental, differential, and mirror backups. Database recovery involves rolling forward to apply redo logs and rolling back to undo uncommitted changes using rollback segments in order to restore the database to a consistent state.
This presentation discusses about the following topics:
Transaction processing systems
Introduction to TRANSACTION
Need for TRANSACTION
Operations
Transaction Execution and Problems
Transaction States
Transaction Execution with SQL
Transaction Properties
Transaction Log
The document discusses processor management in operating systems. It describes how operating systems use process scheduling to manage multiple processes running simultaneously on the CPU. Processes have a lifecycle that involves different states like ready, running, waiting etc. The processor manager consists of a job scheduler and process scheduler. The job scheduler balances groups of processes to optimize resource usage while the process scheduler selects the next process to run on the CPU using different scheduling algorithms like FCFS, priority scheduling, round robin etc. Each process is associated with a process control block that stores its state and execution details.
The document provides information about computers and their basic components. It states that a computer is an electronic device that can accept data as input, process it according to stored instructions, produce output, and store information for future use. The basic parts of a computer are the input unit, output unit, control unit, arithmetic logic unit, and memory. The input unit allows data and instructions to be entered, the output unit provides information to the user, the control unit controls all functions, the arithmetic logic unit performs calculations, and memory stores programs and data. Hardware refers to the physical and tangible parts of a computer while software refers to the instructions that tell the computer what to do.
The document discusses data center tiers as defined by the Uptime Institute. There are four tiers that classify data centers based on infrastructure and downtime. Tier 1 has the lowest availability at 99.67% uptime. Tier 2 improves on Tier 1 with redundant components. Tier 3 is concurrently maintainable with 99.98% uptime. Tier 4 is fault tolerant with 99.995% uptime and fully redundant power and cooling. The appropriate tier depends on a company's business needs and tolerance for downtime.
This document discusses various countermeasures for database security including authorization, authentication, backups, journalizing, encryption, RAID technology, user-defined procedures, and checkpoints. It also discusses responses to different types of database failures such as aborted transactions, incorrect data, system failures with the database intact, and total database destruction. The preferred and alternative recovery approaches are outlined for each failure scenario.
The document is an operations and maintenance transition plan template to facilitate migrating an application system from development to production. It provides sections and suggestions for including information on the product scope, relationships to other projects, transition strategies and schedule, resource requirements, acceptance criteria, management controls, and reporting procedures. The template also includes a sample work breakdown structure as an appendix.
This document discusses common mistakes that compromise cooling performance in data centers and network rooms. It examines five categories of typical mistakes: airflow in the rack, rack layout, load distribution, cooling settings, and air delivery/return vent layout. Mistakes such as omitting blanking panels, improper rack layout, and obstructed airflow can cause hot spots, decrease fault tolerance, reduce efficiency and capacity, increasing costs by up to 25% over the lifetime of the data center. The document provides solutions to address each problem through standardized racks, blanking panels, proper hot/cold aisle layout, unobstructed airflow, and policies to prevent these issues.
The document outlines several key functions of an operating system: memory management, processor management, device management, file management, and other functions like security, performance control, job accounting, error detection, and coordination between software and users. Specifically, an operating system tracks system resources like memory and processors, allocates resources to processes, and deallocates them when no longer needed to manage a computer system efficiently.
The document discusses database backup and recovery basics. It defines redo log files and archived log files, with redo logs recording changes made to the database for recovery and archived logs copying redo log contents for recovery. It also covers the goals of database administrators to keep databases available, types of backups (physical and logical), categories of failures (media failures and user errors), configuring for recoverability including archive log files, and the differences between no archive log mode and archive log mode.
This document discusses database backup and recovery. It defines backup as additional copies of data for restoration if the primary copy is lost or corrupted. There are several types of backups including full, incremental, differential, and mirror backups. Recovery brings the database back to a prior consistent state, using techniques like log files, check pointing, and immediate or deferred transaction updates. Factors like backup location, test restores, automation, and database design can influence recovery duration. Alternatives to traditional backup and recovery include standby databases, replication, and disk mirroring.
This document discusses different techniques for data recovery in databases including periodic checkpoints, dumping active databases to stable storage, and maintaining redo and undo lists. It describes recovery by restoring the latest dump and using undo-redo lists to restore transactions. It also discusses strategies for recovery from catastrophic failure like remote backups and magnetic tape backups. Finally, it classifies database failures into transaction failures, system crashes, and disk failures and provides examples of each.
MySQL Enterprise Backup provides fast, consistent, online backups of MySQL databases. It allows for backing up InnoDB and MyISAM tables while the database is running, minimizing downtime. The tool takes physical backups of the data files rather than logical backups, allowing for very fast restore times compared to alternatives like mysqldump. It supports features like compressed backups, incremental backups, and point-in-time recovery.
The document discusses database crash recovery. It explains that crash recovery is needed to restore the database to a consistent state after failures like system crashes or hardware errors. It describes the log-based recovery process used by database management systems, including writing log records, undo/redo operations, and using checkpoints to optimize the recovery process. The sources of failures and the need for backup and recovery from catastrophic failures are also covered.
The document discusses different techniques for database recovery including rollback/undo recovery, commit/redo recovery, and checkpoint recovery. Rollback/undo recovery undoes the changes of an uncommitted transaction using log records, while commit/redo recovery reapplies the changes of a committed transaction using log records to restore the most recent consistent state. Checkpoint recovery periodically saves the database state to a checkpoint file to speed up recovery. The document also discusses transaction failure, system crash, log-based recovery using write-ahead logging, and shadow paging recovery using two page tables.
data warehousing need and characteristics. types of data w data warehouse arc...aasifkuchey85
The document discusses data warehouses and database management systems (DBMS). It provides information on:
- The key difference between online analytical processing (OLAP) and online transaction processing (OLTP) databases and their purposes. OLAP databases contain historical data for analysis while OLTP databases contain current operational data.
- The top-down and bottom-up approaches for constructing a data warehouse, which involve extracting data from external sources, transforming and loading it, and then storing it in data marts or a centralized data warehouse.
- Some common components of a data warehouse architecture including the external sources, staging area, data warehouse, data marts, and data mining.
- Properties and features of a DB
MySQL Enterprise Backup provides fast, consistent, online backups of MySQL databases. It allows for full and incremental backups, compressed backups to reduce storage needs, and point-in-time recovery. MySQL Enterprise Backup works by backing up InnoDB data files, copying and compressing the files, and backing up the transaction log files from the time period when the data files were copied. This allows for consistent backups and point-in-time recovery of the database.
This document provides information on data base management systems and storage management. It defines key concepts such as data, databases, database systems, database management systems (DBMS), and storage. It describes different types of databases like operational databases and distributed databases. It also discusses database users such as administrators, designers, and end users. The document outlines important database concepts including transactions, ACID properties, storage management, and different types of storage.
This document discusses database backup strategies and introduces MySQL Enterprise Backup. It begins by defining common backup terms like online, incremental, and full backups. It then discusses assessing backup needs based on recovery point and time objectives. The document reviews different backup methods like full, incremental, and combining with log backups. It also discusses factors for determining a backup strategy like data change frequency and value. Finally, it introduces MySQL Enterprise Backup as providing online, compressed backups with low performance impact.
The document discusses database backup and recovery strategies in Oracle. It covers the different types of backups including logical, physical offline ("cold") backups, and physical online ("hot") backups. It also discusses archiving redo logs, testing backup strategies, and implications of backup methods like downtime required and recovery time. Failure scenarios like statement failure, user process failure, user error, instance failure, and media failure are also summarized. Finally, it discusses logical backups using the Oracle Export utility and parameters that can be passed to it.
This document discusses database backup and recovery strategies in Oracle. It covers different types of backups including logical, physical, online and offline backups. It emphasizes the importance of backups for recovery purposes. Different failure scenarios are described such as statement failure, user process failure, user error, instance failure and media failure. The roles of logical backups using Export and archiving redo logs are explained. Considerations for backup strategies include business needs, availability requirements, transaction volumes and read-only tablespaces. Testing backups is recommended to ensure recovery success.
The document discusses data and database administration. It covers:
1) The functions of data administration including data policies, planning, and managing the information repository.
2) The functions of database administration including hardware/software selection, performance tuning, security, backups, and recovery.
3) Techniques for managing data security including views, integrity controls, authorization rules, encryption, and authentication.
4) The importance of regularly backing up databases and using journaling facilities to facilitate recovery in case of data loss or damage.
This document discusses various methods for performing database backups, including Recovery Manager (RMAN), Oracle Secure Backup, and user-managed backups. It covers key backup concepts like full versus incremental backups, online versus offline backups, and image copies versus backup sets. The document also provides instructions on configuring backup settings and scheduling automated database backups using RMAN and Enterprise Manager.
This document discusses different types of data storage used in database management systems, including primary storage (main memory and cache), secondary storage (flash memory and magnetic disk storage), and tertiary storage (optical storage and tape storage). It also covers various file organization methods like sequential, heap, hash, and cluster, as well as indexing methods like ordered indices, primary indexing, and secondary indexing. The goal of file organization is to optimize data access and storage efficiency while indexing is used to minimize disk accesses during queries.
This document discusses data operations management. It defines data operations management as developing, maintaining, and supporting structured data to maximize value. Key activities include database support and data technology management. Database administrators play an important role in ensuring database availability, performance, integrity, and recoverability through activities like backups, monitoring, tuning, and setting service level agreements.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
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
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
2. Why we need to Backup & Recovery?
• A database includes a huge amount of data and transaction. If the system
crashes or failure occurs, then it is very difficult to recover the database
then needs to backup & recovery of database.
• DBMS solves this problem of taking backup again and again because it
allows automatic backup and recovery of database.
• Data loss is a very big problem for all the organizations. There are some
common causes of data loss such as :-
1. System Crash
2. Transaction Failure
3. Network Failure
4. Disk Failure
5. Media Failure
3. Data Backup
• Database Backup is storage of data that means the copy of the
data.
• It is a safeguard against unexpected data loss and application
errors.
• It protects the database against data loss.
• If the original data is lost, then using the backup it can
reconstructed.
• we can use the backup to make it available again.
4. Types of Backups
1. Physical backups are the backups of the physical files used in storing
and recovering your database, such as data files, control files and archived
redo logs, log files.
2. Logical backups contains logical data which is extracted from a database.
It includes backup of logical data like views, procedures, functions, tables, etc.
5. Data Recovery
• Recovery is the process of restoring a database to the correct state in
the event of a failure.
• It ensures that the database is reliable and remains in consistent state
in case of a failure.
• When concurrent transactions crash and recover, the checkpoint is added to
the transaction and recovery system recovers the database from failure.
6. Log-Based Recovery
• Logs are the sequence of records, that maintain the records of actions performed
by a transaction.
• In Log – Based Recovery, log of each transaction is maintained in some stable
storage. If any failure occurs, it can be recovered from there to recover the
database.
• The log contains the information about the transaction being executed, values that
have been modified and transaction state.
• All these information will be stored in the order of execution.