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Data Governance when there's no Data nor Governance

Lv200

Lv200

2024/8/24 22:20 (JST)
セッション情報

Sometimes we, as Solutions Architects, face situations and clients who are not completely aware of the data their working with, and neither recognize their lack of control over it.

It is our professional and 'humanitary' duty to help them gain more confidence, enhance internal communication, and leverage the data they possess.

William Antonio Guzmán Bernal

William Antonio Guzmán Bernal

- AWS Community Builders -

- AWS Users Group of Paraguay (Co-Founder) -

セッションカテゴリ
Analysis
Security
Identity and compliance
Community/Career
関連AWSサービス
S3
Redshift
RDS
Lake Formation
SNS
Lambda
QuickSight
セッション資料
    セッションアーカイブ
    セッションサマリ（by Amazon Bedrock）
      The speaker discusses data governance and its importance in modern business. Key points include: 1. Data is valuable, providing competitive advantages and driving digital revolution across industries. 2. When investigating existing data in a company: - Start with what's already available (reports, dashboards, KPIs) - Approach stakeholders carefully to avoid rejection - Be aware of communication techniques and phrasing 3. Investigate different areas of the company: - BI analysis and stakeholders - IT staff and maintenance teams - Security protocols and compliance 4. Consider AWS services like CloudWatch, QuickSight, and Athena 5. Examine data storage, including streams, RDS, and Amazon Aurora 6. Look into data ingestion processes using services like Amazon Kinesis 7. Explore data processing with tools such as EMR, Glue, SageMaker, and Lambda 8. Create a comprehensive picture of the data lifecycle, from ingestion to analysis 9. Focus on people throughout the process, as they are crucial for successful data governance 10. Propose missing BI components, protocols, and optimizations as needed The speaker emphasizes the importance of understanding the entire data ecosystem, including people, processes, and technologies. They recommend a careful approach when investigating existing data practices and suggest proposing improvements based on findings. The goal is to create a comprehensive data governance strategy that aligns with AWS best practices and addresses security, compliance, and regulatory requirements.

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