Data Backup And Recovery in Metadata Repositories Dataset (Publication Date: 2024/01)

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Discover Insights, Make Informed Decisions, and Stay Ahead of the Curve:



  • How much data will be stored given your current data protection footprint, and how much will it cost?
  • What recovery time is being promised and to what limit can the enterprise handle data loss?
  • How quickly and completely does the solution deliver data recovery and server recovery?


  • Key Features:


    • Comprehensive set of 1597 prioritized Data Backup And Recovery requirements.
    • Extensive coverage of 156 Data Backup And Recovery topic scopes.
    • In-depth analysis of 156 Data Backup And Recovery step-by-step solutions, benefits, BHAGs.
    • Detailed examination of 156 Data Backup And Recovery case studies and use cases.

    • Digital download upon purchase.
    • Enjoy lifetime document updates included with your purchase.
    • Benefit from a fully editable and customizable Excel format.
    • Trusted and utilized by over 10,000 organizations.

    • Covering: Data Ownership Policies, Data Discovery, Data Migration Strategies, Data Indexing, Data Discovery Tools, Data Lakes, Data Lineage Tracking, Data Data Governance Implementation Plan, Data Privacy, Data Federation, Application Development, Data Serialization, Data Privacy Regulations, Data Integration Best Practices, Data Stewardship Framework, Data Consolidation, Data Management Platform, Data Replication Methods, Data Dictionary, Data Management Services, Data Stewardship Tools, Data Retention Policies, Data Ownership, Data Stewardship, Data Policy Management, Digital Repositories, Data Preservation, Data Classification Standards, Data Access, Data Modeling, Data Tracking, Data Protection Laws, Data Protection Regulations Compliance, Data Protection, Data Governance Best Practices, Data Wrangling, Data Inventory, Metadata Integration, Data Compliance Management, Data Ecosystem, Data Sharing, Data Governance Training, Data Quality Monitoring, Data Backup, Data Migration, Data Quality Management, Data Classification, Data Profiling Methods, Data Encryption Solutions, Data Structures, Data Relationship Mapping, Data Stewardship Program, Data Governance Processes, Data Transformation, Data Protection Regulations, Data Integration, Data Cleansing, Data Assimilation, Data Management Framework, Data Enrichment, Data Integrity, Data Independence, Data Quality, Data Lineage, Data Security Measures Implementation, Data Integrity Checks, Data Aggregation, Data Security Measures, Data Governance, Data Breach, Data Integration Platforms, Data Compliance Software, Data Masking, Data Mapping, Data Reconciliation, Data Governance Tools, Data Governance Model, Data Classification Policy, Data Lifecycle Management, Data Replication, Data Management Infrastructure, Data Validation, Data Staging, Data Retention, Data Classification Schemes, Data Profiling Software, Data Standards, Data Cleansing Techniques, Data Cataloging Tools, Data Sharing Policies, Data Quality Metrics, Data Governance Framework Implementation, Data Virtualization, Data Architecture, Data Management System, Data Identification, Data Encryption, Data Profiling, Data Ingestion, Data Mining, Data Standardization Process, Data Lifecycle, Data Security Protocols, Data Manipulation, Chain of Custody, Data Versioning, Data Curation, Data Synchronization, Data Governance Framework, Data Glossary, Data Management System Implementation, Data Profiling Tools, Data Resilience, Data Protection Guidelines, Data Democratization, Data Visualization, Data Protection Compliance, Data Security Risk Assessment, Data Audit, Data Steward, Data Deduplication, Data Encryption Techniques, Data Standardization, Data Management Consulting, Data Security, Data Storage, Data Transformation Tools, Data Warehousing, Data Management Consultation, Data Storage Solutions, Data Steward Training, Data Classification Tools, Data Lineage Analysis, Data Protection Measures, Data Classification Policies, Data Encryption Software, Data Governance Strategy, Data Monitoring, Data Governance Framework Audit, Data Integration Solutions, Data Relationship Management, Data Visualization Tools, Data Quality Assurance, Data Catalog, Data Preservation Strategies, Data Archiving, Data Analytics, Data Management Solutions, Data Governance Implementation, Data Management, Data Compliance, Data Governance Policy Development, Metadata Repositories, Data Management Architecture, Data Backup Methods, Data Backup And Recovery




    Data Backup And Recovery Assessment Dataset - Utilization, Solutions, Advantages, BHAG (Big Hairy Audacious Goal):


    Data Backup And Recovery


    Data backup and recovery involves storing and securing data to prevent loss, as well as being able to retrieve and recover it in cases of data loss or damage. The amount of data backed up and the cost involved will depend on the current level of data protection measures in place.


    1. Incremental backups only store changes, reducing cost and time.
    2. Automated backups ensure regular and efficient data protection.
    3. Centralized storage for backups eliminates the need for scattered backups.
    4. Cloud storage options offer scalable and affordable data backup.
    5. Regular testing of backups ensures data can be recovered when needed.
    6. Data deduplication reduces storage space and overall cost.
    7. Version control allows for multiple versions of data to be backed up.
    8. Redundancy in storage locations ensures data is not lost due to a single point of failure.
    9. Encryption of backups adds an extra layer of security for sensitive data.
    10. Backup monitoring alerts to any issues or failures for timely intervention.

    CONTROL QUESTION: How much data will be stored given the current data protection footprint, and how much will it cost?


    Big Hairy Audacious Goal (BHAG) for 10 years from now:

    In 10 years, my goal for data backup and recovery is for every company and individual to have a comprehensive data protection plan in place, resulting in a significant decrease in data loss due to hardware failures, natural disasters, and cyber attacks. This will be achieved through increased awareness and education on the importance of backing up data regularly.

    Furthermore, advancements in technology will allow for the storage of an unprecedented amount of data. It is estimated that by 2030, the global digital datasphere will reach 175 zettabytes (175 trillion gigabytes) of data. My goal is for at least 90% of this data to be backed up and recoverable.

    To achieve this, there will need to be a significant increase in the number of data backup and recovery solutions available, catering to diverse storage needs and catering to the varying budgets of individuals and businesses. These solutions should also be user-friendly, efficient, and cost-effective.

    As a result of these efforts, the cost of data backup and recovery will decrease significantly in the next 10 years. My goal is for it to become a widely accessible and affordable service for companies and individuals alike, with the average cost per gigabyte decreasing by at least 50%.

    Ultimately, my goal is to create a world where data loss is no longer a significant concern for businesses and individuals, and data backup and recovery becomes an effortless and essential part of everyday life.

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    Data Backup And Recovery Case Study/Use Case example - How to use:



    Client Situation:
    ABC Corporation is a multinational conglomerate with operations spanning multiple industries, including technology, consumer goods, and financial services. With a vast network of offices and data centers, the company generates a massive amount of data daily from various sources, including customer transactions, employee records, and intellectual property. As a result, data backup and recovery have become critical for ABC Corporation to prevent the loss of sensitive information and maintain business continuity.

    However, the existing data protection solution used by ABC Corporation was not designed to handle the increasing volume and complexity of data, leading to frequent system crashes and downtime. This resulted in significant financial losses and damaged the company′s reputation. In light of these challenges, the company has decided to seek external consulting services to identify a robust data backup and recovery strategy that can support their business needs effectively.

    Consulting Methodology:
    The approach used by our consulting team is guided by the ITIL (Information Technology Infrastructure Library) framework, which is globally recognized as a best practice for IT service management. Our team conducted a thorough assessment of the current data protection footprint of ABC Corporation, including hardware, software, and processes. The key stages of our methodology included:

    1. Discovery: Our team conducted interviews with key stakeholders and conducted site visits to understand the current data protection landscape.

    2. Analysis: Based on data collected during the discovery phase, our team performed a gap analysis to identify the shortcomings of the existing data protection solution.

    3. Solution Design: We developed a comprehensive data backup and recovery strategy tailored to the specific needs of ABC Corporation, considering factors such as data volume, data type, preferred backup methods, and recovery time objectives (RTOs).

    4. Implementation: Our team worked closely with the IT department of ABC Corporation to implement the recommended solution. This phase included setting up new hardware and software, configuring backup schedules, and conducting training for the IT staff.

    Deliverables:
    1. Data Backup and Recovery Strategy Document: This document outlines the recommended strategy, including hardware and software requirements, backup schedules, recovery procedures, and disaster recovery plans.

    2. Backup and Recovery System Implementation: Our team successfully implemented the data backup and recovery system according to the agreed-upon strategy.

    3. Training Manuals: We developed training manuals to educate the IT staff of ABC Corporation on how to operate and maintain the backup and recovery system.

    Implementation Challenges:
    The implementation of a new data backup and recovery strategy posed several challenges, including:

    1. Limited Budget: ABC Corporation had allocated a limited budget for the data backup and recovery project, which had to be carefully managed to deliver an effective solution.

    2. Resistance to Change: Implementing a new system required changes in existing processes and workflows, which were initially met with resistance from some members of the IT department.

    3. Technical Complexity: The scale and complexity of data at ABC Corporation presented technical challenges that required a carefully designed solution to address.

    Key Performance Indicators (KPIs):
    1. Recovery Time Objective (RTO): This KPI measures the time taken to recover data after a system failure or data loss. The target RTO set for ABC Corporation′s backup and recovery system was 4 hours.

    2. Data Loss: The data backup and recovery system should be capable of minimizing data loss to ensure that critical business information is always available. The target data loss set for ABC Corporation was less than 0.1%.

    3. Downtime: By implementing an efficient backup and recovery system, the goal was to reduce downtime resulting from system outages or data loss incidents. The target downtime set for ABC Corporation was less than 2 hours per month.

    Management Considerations:
    1. Cost: The cost of the new data backup and recovery system was a key consideration for ABC Corporation. The total cost of the implementation included hardware, software licenses, and consulting fees.

    2. Training: Adequate training was provided to the IT staff to ensure they were proficient in operating and maintaining the new backup and recovery system.

    3. Regular Testing and Maintenance: To ensure the efficiency and effectiveness of the data protection solution, our team recommended regular testing and maintenance activities to be carried out, including data restores and software updates.

    Conclusion:
    Based on our assessment and recommendations, ABC Corporation′s current data protection footprint can support a data volume of approximately 500 terabytes (TB). The cost of implementing the new data backup and recovery system is estimated at $500,000, including hardware, software, and consulting fees.

    Implementing the new strategy will provide significant cost savings for ABC Corporation in the long term, as it reduces the risk of data loss and downtime, resulting in increased productivity and revenue. Our team will continue to monitor and evaluate the performance of the backup and recovery system to ensure it aligns with the company′s evolving business needs and technological advancements.

    Citations:
    1. ITIL® v3 Foundation Handbook: Pocketbook from the Official Publisher of ITIL® (ITIL® Harbor Light Books, The Stationery Office, 2012).

    2. Helmuth, A., Heitmann, R.W., and Bues, T.P. (2009). IT Service Management Governance Based on ITIL®: A Management Guide (Expert Edition vs.). Bremen: H+H Publishing.

    3. Information Technology Infrastructure Library, ITIL®: IT Process Maps. “ITIL® Processes Glossary.” IT Process Wiki, IT Process Maps GbR, itil-docs.com/dm0342/p glossary.pdf.

    4. Global Data Backup and Recovery Market (2017-2023) - Research and Markets, www.businesswire.com/news/home/20181203005464/en/Global-Data-Backup-Recovery-Market-2017-2023---.

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