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What are the best techniques for data profiling in preparation for migration?

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Data profiling is the process of analyzing the quality, structure, and content of your data sources before migrating them to a new system or platform. It helps you identify and resolve any issues that might affect the performance, accuracy, or usability of your data in the target environment. In this article, you will learn some of the best techniques for data profiling in preparation for migration, such as:

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1 Define your data quality goals

Before you start profiling your data, you need to have a clear idea of what you want to achieve with your migration project. What are the business requirements, expectations, and standards for your data in the new system? How will you measure and monitor the data quality after the migration? What are the potential risks and impacts of poor data quality on your operations, processes, and decisions? By defining your data quality goals, you can establish the scope, criteria, and methods for your data profiling activities.

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Gabriel Finelli

DBA de SQL Server na Digics | DP-300 Microsoft | CouchDB | MySQL | PostgreSQL | Autor "O dia a dia do DBA SQL Server"
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As melhores técnicas para perfilar dados antes de uma migra??o envolvem uma análise abrangente dos dados existentes. Isso inclui identificar a qualidade dos dados, entender sua estrutura e formatos, e avaliar a integridade geral. Técnicas como estatísticas descritivas, análise de padr?es e detec??o de anomalias s?o essenciais para identificar problemas potenciais nos dados. Além disso, a compreens?o das rela??es entre os diferentes conjuntos de dados e a identifica??o de chaves primárias e estrangeiras s?o críticas para garantir uma migra??o bem-sucedida. A automa??o por meio de ferramentas de software especializadas também pode agilizar o processo e aumentar sua eficácia.

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2 Use appropriate tools and methods

Depending on the size, complexity, and diversity of your data sources, you may need different tools and methods for data profiling. Specialized applications such as Informatica Data Quality, IBM InfoSphere QualityStage, and Talend Data Quality can automate and simplify the process by providing features like data discovery, profiling, cleansing, validation, mapping, and reporting. Additionally, SQL queries can help you query, manipulate, and analyze your data using a structured query language. Data visualization techniques like charts, graphs, tables, and dashboards can also be used to gain insights from your data profiling results by identifying trends, patterns, outliers, and anomalies.

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Gabriel Finelli

DBA de SQL Server na Digics | DP-300 Microsoft | CouchDB | MySQL | PostgreSQL | Autor "O dia a dia do DBA SQL Server"
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Para realizar o perfil de dados antes da migra??o, é essencial usar ferramentas e métodos apropriados. Dependendo da dimens?o, complexidade e diversidade das suas fontes de dados, podem ser necessárias diferentes abordagens. Aplica??es especializadas, como Talend Data Quality, Informatica Data Quality e IBM InfoSphere QualityStage, automatizam e simplificam o processo, fornecendo recursos como descoberta, perfilamento, limpeza, valida??o, mapeamento e relatórios de dados. Além disso, consultas SQL podem ser úteis para manipular e analisar os dados usando uma linguagem estruturada. Técnicas de visualiza??o de dados, como gráficos, tabelas e painéis, também podem ser empregadas nos resultados do perfil de dados.

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3 Focus on key data dimensions

Data profiling can be performed on different data dimensions, such as the logical and physical organization of your data, the actual values and information stored in your data, and how your data is accessed, processed, and consumed. You should verify the consistency, integrity, accuracy, completeness, uniqueness, validity, and relevance of your data. Additionally, you should understand its frequency, volume, patterns, and performance. Focus on the data dimensions that are most relevant and critical for your migration project, and prioritize the data sources that have the highest impact and value for your business.

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4 Document and communicate your findings

Data profiling is an ongoing and collaborative process that requires communication among data owners, users, analysts, developers, testers, and managers. It is important to document and communicate your data profiling findings, such as data quality issues, metrics, and reports. Data quality issues include errors such as missing, duplicate, incorrect, inconsistent, or outdated data; these should be documented with the type, severity, cause, and location of each issue. Additionally, data quality metrics should be documented and compared to data quality goals and standards. Finally, data quality reports should be created to present and share the results of data profiling. By following these techniques, you can perform effective data profiling in preparation for migration and ensure that your data is ready for your new system or platform.

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Alex Agyei

(ISC)2 Certified in Cybersecurity || Oracle PL/SQL Developer at Union Systems Global || Cybersecurity Analyst || 1x AWS Certified ||
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Generate data profiling reports and documentation to document findings, observations, and recommendations from the profiling process. Communicate insights and recommendations to stakeholders, data owners, and migration teams to facilitate decision-making and planning.

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5 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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What are the best techniques for data profiling in preparation for migration?

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1 Define your data quality goals

2 Use appropriate tools and methods

3 Focus on key data dimensions

4 Document and communicate your findings

5 Here’s what else to consider

Database Administration

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What are the best techniques for data profiling in preparation for migration?

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1 Define your data quality goals

2 Use appropriate tools and methods

3 Focus on key data dimensions

4 Document and communicate your findings

5 Here’s what else to consider

Database Administration

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