Professional Certificate in Maintenance for the Data Age

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The Professional Certificate in Maintenance for the Data Age is a comprehensive course designed to equip learners with the essential skills needed to thrive in today's data-driven world. This program focuses on the critical importance of data maintenance, a rapidly growing field with high industry demand.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

In this course, learners will gain hands-on experience with data maintenance best practices, including data governance, data quality management, and data security. They will also learn how to leverage cutting-edge technologies and tools to optimize data maintenance processes and drive business value. By completing this program, learners will be well-positioned to advance their careers in data maintenance and related fields. They will have the skills and knowledge needed to help organizations manage and maintain high-quality, secure, and reliable data, which is essential for making informed business decisions and driving growth.

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ใฉใ“ใ‹ใ‚‰ใงใ‚‚ๅญฆ็ฟ’

ๅ…ฑๆœ‰ๅฏ่ƒฝใช่จผๆ˜Žๆ›ธ

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ๅฎŒไบ†ใพใง2ใƒถๆœˆ

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ใ„ใคใงใ‚‚้–‹ๅง‹

ๅพ…ๆฉŸๆœŸ้–“ใชใ—

ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Data Infrastructure Maintenance: Understanding the fundamentals of data infrastructure, including storage, servers, and networks, and best practices for maintaining and troubleshooting data systems.
โ€ข Data Security: Implementing and maintaining security measures to protect data integrity and confidentiality, including encryption, access controls, and vulnerability assessments.
โ€ข Data Backup and Disaster Recovery: Developing and implementing data backup and disaster recovery plans, including regular backups, testing, and maintaining backup systems.
โ€ข Data Performance Optimization: Techniques for optimizing data performance, including indexing, query optimization, and data caching.
โ€ข Data Quality Management: Ensuring data accuracy, completeness, and consistency, including data validation, cleaning, and standardization.
โ€ข Data Governance: Establishing and maintaining data governance policies and procedures, including data ownership, access, and usage.
โ€ข Data Analytics Tools: Familiarity with tools and techniques for data analytics, including data visualization, machine learning, and artificial intelligence.
โ€ข Data Privacy Compliance: Understanding and complying with data privacy regulations, including GDPR, CCPA, and HIPAA.
โ€ข Data Lifecycle Management: Managing the entire data lifecycle, including data creation, storage, usage, and disposal.

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Google Charts 3D Pie Chart: Maintenance for the Data Age

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ใ„ใคใ‚ณใƒผใ‚นใ‚’้–‹ๅง‹ใงใใพใ™ใ‹๏ผŸ

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ใ‚ญใƒฃใƒชใ‚ข่จผๆ˜Žๆ›ธใ‚’ๅ–ๅพ—

ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
PROFESSIONAL CERTIFICATE IN MAINTENANCE FOR THE DATA AGE
ใซๆŽˆไธŽใ•ใ‚Œใพใ™
ๅญฆ็ฟ’่€…ๅ
ใงใƒ—ใƒญใ‚ฐใƒฉใƒ ใ‚’ๅฎŒไบ†ใ—ใŸไบบ
London School of International Business (LSIB)
ๆŽˆไธŽๆ—ฅ
05 May 2025
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