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データウェアハウス移行認定(上級) (Advanced)

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Overview

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Learning outcomes

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Course content

1

データモデル設計

2

Etl設計

3

データ品質管理

4

パフォーマンスチューニング

5

マイグレーション計画策定

6

データ統合戦略

7

スキーマ変換

8

データリネージ管理

9

データガバナンス

10

クラウド移行戦略

11

データセキュリティ設計

12

バッチ処理最適化

13

リアルタイムデータストリーミング

14

データマスキング

15

バックアップ・リカバリ設計

16

リスク評価と緩和

17

ステークホルダー調整

18

テスト自動化

19

運用監視設計

20

ドキュメンテーション標準化

Career Path

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Key facts

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Why this course

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We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay the course fee, instantly
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  • Instant access to all course materials upon payment
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This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.

We offer two flexible learning paths to suit your schedule:

  • Fast Track: Complete in 1 month with 3-4 hours of study per week
  • Standard Mode: Complete in 2 months with 2-3 hours of study per week

You can progress at your own pace and access the materials 24/7.

There are no formal entry requirements for this course. You just need:

  • A good command of English language
  • Access to a computer/laptop with internet
  • Basic computer skills
  • Dedication to complete the course
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Assessment is done through:

  • Multiple-choice questions at the end of each unit
  • You need to score at least 60% to pass each unit
  • You can retake quizzes if needed
  • All assessments are online

Upon successful completion, you will receive:

  • A digital certificate from London School of Business and Administration
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee
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Why people choose us for their career

Trusted by professionals worldwide

Verified outcomes from learners who finished the course and put it to work.

4.5
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United Kingdom
ST
Sarah Thompson
GB · Course completed

I signed up for the advanced data‑warehouse migration course because I wanted to brush up on modern cloud techniques, and it didn’t disappoint. The casual, easy‑going teaching style made complex topics like schema conversion and data lineage tracking feel manageable. I especially loved the hands‑on labs where we moved a sample PostgreSQL warehouse to Azure Synapse – I can now show my manager a working prototype. The PDFs and video recordings were spot‑on, though a few more deep‑dive PDFs would have been nice. All in all, a solid learning experience that boosted my skill set.

MC
Michael Carter
US · Course completed

The データウェアハウス移行認定(上級) course perfectly aligned with my goal of leading our company's data migration to the cloud. The modules on dimensional modeling and incremental ETL design gave me a clear, step‑by‑step framework, which I applied to migrate three legacy warehouses to Snowflake with zero downtime. The course materials—especially the downloadable migration checklist and real‑world case studies—were up‑to‑date and highly relevant. Overall, the instruction was professional and concise, and I left the program confident in my ability to oversee large‑scale data warehouse projects.

ST
Sakura Tanaka
JP · Course completed

Wow! This course blew me away with its energy and depth. My aim was to become the go‑to person for data‑warehouse migrations at my firm, and the enthusiastic tone kept me motivated from start to finish. I learned how to design high‑performance star schemas, automate data validation with Python scripts, and optimize query performance using partitioning strategies—skills I immediately used to cut our reporting latency by 30 %. The video lessons were crystal clear, and the supplementary GitHub repo gave me ready‑to‑use code snippets. I’m thrilled with the results and can’t recommend it enough!

ZD
Zanele Dlamini
ZA · Course completed

The データウェアハウス移行認定(上級) program offered a detailed, thorough exploration of migration best practices that matched my learning objectives perfectly. Each module broke down complex subjects—such as data profiling, change data capture, and performance tuning—into digestible sections with real‑world examples from finance and retail sectors. I applied the “parallel load” technique taught in week three to our on‑premises Oracle warehouse, reducing migration time by two days. The course handbook and slide decks were well‑structured, though I would have liked more interactive quizzes. Overall, the experience was highly informative and directly applicable to my day‑to‑day work.





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Recently updated!

May 2026