我從未看過荒原寫作背景

重點 (Top highlight)

**Update 8/15: it’s recently come to my attention that the certification exams are open book, which is extremely exciting because it means less time memorizing and more time working with data in a real world setting. Also, I am starting a study group on Facebook — join for help with your exam prep.**

** Update 8/15 ：最近引起我注意的是，認證考試是一本 公開的書 ，這非常令人興奮，因為它意味著更少的時間記憶和更多的時間在真實環境中處理數據。 另外，我正在 Facebook上成立 一個 研究小組 —加入考試準備中的幫助。**

Eight years ago, data science was proclaimed “the sexiest job of the 21st century.” Yet plodding through hours of data munging still feels decidedly unsexy. If anything, the storied rise of the data science career has illustrated just how poorly most organizations are doing when it comes to managing their data.

八年前，數據科學被譽為“ 21世紀最性感的工作”。 然而，經過數小時的數據處理，仍然感覺絕對不 性感 。 如果有的話，數據科學事業的傳奇般的崛起說明了大多數組織在管理數據方面做得多么糟糕。

Enter the Certified Data Management Professional (CDMP) from Data Management Association International (DAMA). The CDMP is the best data strategy certification you’ve never heard of. (And honestly, when you consider the fact that you’re probably working a job that didn’t exist ten years ago, it’s not surprising that this certification isn’t widespread just yet.)

輸入認證的數據管理專業人員( CDMP從數據管理協會國際)( DAMA )。 CDMP是您從未聽說過的最佳數據策略認證。 (說實話，當您考慮到自己從事的工作可能是十年前不存在的事實時，這種認證還沒有廣泛傳播就不足為奇了。)

Data strategy is a crucial discipline that spans end-to-end management of the data lifecycle as well as associated aspects of data governance and key considerations of data ethics.

數據策略是一門至關重要的學科，它涵蓋了數據生命周期的端到端管理以及數據治理的相關方面以及數據倫理的關鍵考慮因素。

This article outlines the hows and whys of getting the CDMP, which lays the groundwork for effective thought leadership on data strategy. It also includes a survey — you can offer your thoughts on the most important aspects of data management for data science and check out the consensus of the community.

本文概述了獲取CDMP的方式和原因 ，這為有效地領導數據策略思想奠定了基礎。 它還包括一項調查-您可以就數據科學中數據管理最重要的方面提出您的想法，并查看社區的共識。

In this guide:

在本指南中 ：

About the CDMP Exam

關于CDMP考試

How to prepare for CDMP

如何準備CDMP

What’s tested on the CDMP

在CDMP上測試了什么

Survey —most important aspect of data management

調查-數據管理的最重要方面

Why data scientists should get CDMP certified

為什么數據科學家應該獲得CDMP認證

Disclaimer: this post is not sponsored by DAMA International — views reflected are mine alone. I’m including an affiliate link to the DMBOK on Amazon, the reference guide that is required for the exam, given that it’s an open book test. Buying the exam through this link helps support my writing on Data Science and Data Strategy — thanks in advance.

免責聲明 ：本帖子并非由DAMA International贊助-所反映的觀點僅屬于我個人。 考慮到這是一項開放式考試，因此 我會提供指向 亞馬遜 DMBOK 的會員鏈接 ，這是考試所需的參考指南。 通過此鏈接購買考試有助于支持我寫的有關數據科學和數據策略的文章-預先感謝。

關于CDMP考試 (About the CDMP Exam)

Training for the CDMP confers expertise across 14 areas related to data strategy (which I’ll cover in more detail in a later section). The test is open book, but the 100 questions on the exam must be completed within 90 minutes — not a lot of time to be looking things up. Therefore, it’s important to be extremely familiar with the reference material.

CDMP培訓將賦予與數據策略相關的14個領域的專業知識(我將在下一部分中對其進行詳細介紹)。 該考試是公開考試，但考試中的100個問題必須在90分鐘內完成-查起來的時間不多。 因此，非常熟悉參考資料很重要 。

When you schedule the exam ($300), DAMA provides 40 practice questions that are pretty reflective of the difficulty of the actual exam. As a further resource, check out this article about the process of studying for a certification.

當您安排考試(300美元)時，DAMA提供了40個練習題，完全可以反映實際考試的難度。 作為進一步的資源， 請查閱有關認證學習過程的本文 。

It’s possible to sit for the exam online while monitored via webcam ($11 proctoring fee). The format of the exam is multiple choice — either 5 options or T/F. You can mark questions and come back to them. At the conclusion of test taking, you get immediate feedback on your score.

可以在線參加考試，同時通過網絡攝像頭進行監控(收取11美元的手續費)。 考試形式為多項選擇-5種選擇或T / F。 您可以標記問題，然后再返回。 考試結束時，您會立即獲得有關分數的反饋。

Anything over 60% is considered passing. This is just fine if you’re interested in getting your CDMP Associate certification and moving along. If you’re interested in the advanced tiers of CDMP certification, you’ll have to pass with a 70% (CDMP Practitioner) or 80% (CDMP Master). To get certified at the highest level, CDMP Fellow, you’ll need to attain the Master Certification and also demonstrate industry experience and contribution to the field. Each of these advanced certifications also require passing two Specialist exams.

超過60％的都被視為通過 。 如果您有興趣獲得CDMP協會認證并繼續前進，那很好。 如果您對CDMP認證的高級層感興趣，則必須通過70％(CDMP從業者)或80％(CDMP Master)。 要獲得最高級別的CDMP研究員認證，您需要獲得Master認證，還需要證明行業經驗和對該領域的貢獻。 這些高級認證中的每一個都還需要通過兩次專家考試 。

This brings me to my final point, which is about why — purely from a career advancement standpoint — you should chose to put yourself through the studying and exam taking process for CDMP: certification from DAMA is associated with high-end positions in leadership, management, and data architecture. (Think of CDMP as getting credentialed into a semi-secret society of data ninjas.) Increasingly, enterprise roles and federal contracts related to data management are requesting CDMP certification. Read more.

這將我帶到了最后一點，這就是為什么-從職業發展的角度出發-您應該選擇通過CDMP的學習和考試過程：DAMA的認證與領導，管理的高端職位相關聯，以及數據架構。 (認為??CDMP已成為進入數據忍者半秘密社會的憑證。)越來越多的企業角色和與數據管理相關的聯邦合同正在要求CDMP認證。 。

CDMPCDMP

Pros:

優點 ：

• Provides well-rounded knowledge base on topics related to data strategy
  提供與數據策略相關主題的全面的知識庫
• Open book test means less time spent on route memorization
  開卷考試意味著更少的時間記憶在路線上
• Four tiers for different levels of data management professionals
  針對不同級別的數據管理專業人員的四層
• 60% score requirement to pass lowest level of certification
  分數要求達到60％才能通過最低級別的認證
• Associated with elite roles
  與精英角色相關
• Provides 3 year membership to DAMA International
  提供DAMA International的3年會員資格
• $311 exam fee is cheaper than other data-related certifications from Microsoft and The Open Group
  311美元的考試費比Microsoft和The Open Group的其他與數據相關的認證便宜

Cons:

缺點 ：

• DAMA is not backed by a major tech company (e.g. Amazon, Google, Microsoft) that is actively pushing marketing efforts and driving brand recognition for CDMP certification — this means that CDMP is likely to be recognized as valuable mainly among individuals who are already familiar with data management
  DAMA不受大型科技公司(例如亞馬遜，谷歌，微軟)的支持，該公司正在積極推動營銷工作并推動CDMP認證的品牌認可-這意味著CDMP可能主要在已經熟悉的個人中被認為是有價值的數據管理

• $311 exam fee is relatively expensive compared to AWS Cloud Practitioner cert ($100) or GPC certs ($200)

  與AWS Cloud Practitioner證書 ($ 100)或GPC證書 ($ 200)相比，$ 311考試費相對昂貴。

Alternatives:

替代方案 ：

• Microsoft Certified Solutions Associate (MCSA) — modularized certifications focusing on various Microsoft products ($330+)

  Microsoft認證解決方案合作伙伴 ( MCSA )-著重于各種Microsoft產品的模塊化認證(超過$ 330)

• Microsoft Certified Solutions Expert (MCSE) — builds on the MCSA with integrated certifications on topics such as Core Infrastructure, Data Management & Analytics, and Productivity ($495+)

  Microsoft認證解決方案專家 ( MCSE )—以MCSA為基礎 ，并具有針對諸如核心基礎架構 ， 數據管理和分析以及生產力的主題的集成認證(超過$ 495)

• The Open Group Architecture Framework (TOGAF) —various levels of certification on high-level framework for software development and enterprise architecture methodology ($550+)

  開放組架構框架 ( TOGAF )-用于軟件開發和企業架構方法的高級框架的各種級別的認證(超過$ 550)

• Scaled Agile Framework (SAFe) — role-based certifications for software engineering teams ($995)

  可擴展的敏捷框架 ( SAFe )—針對軟件工程團隊的基于角色的認證(995美元)

如何準備CDMP (How to prepare for CDMP)

Given that CDMP is an open book test, to study for the exam, all that’s needed is the DAMA Body of Knowledge book (DMBOK $55). It’s around 600 pages, but if you mainly focus your study time on Chapter 1 (Data Management), diagrams & schemas, roles & responsibilities, and definitions, then this should get you 80% of the way toward a passing score.

鑒于CDMP是公開考試，要學習考試，只需要DAMA知識體系書( DMBOK， 55美元)。 它大約有600頁 ，但是如果您主要將學習時間集中在第1章(數據管理)，圖表和模式，角色和職責以及定義上，那么這將使您獲得80分的分數。

In terms of how to use DMBOK, one test taker recommended 4–6 hours per weekend for 8–10 weeks. Another approach could be reading a couple pages each morning and evening. However you tackle it, make sure you’re incorporating spaced repetition into your studying methodology.

在如何使用DMBOK方面 ，一位應試者建議每個周末4-6小時，持續8-10周。 另一種方法是每天早晨和晚上閱讀幾頁。 無論您如何解決，請確保將間隔重復納入您的學習方法中。

In addition to being your study guide for the exam, the DMBOK is of course useful as reference book, and you can drop it on your colleague’s desk if they need to learn data strategy or if they’ve nodded off during a webinar.

除了作為考試的學習指南之外， DMBOK當然也可以作為參考書，如果您的同事需要學習數據策略或在網絡研討會期間點了點頭，您可以將其放在同事的桌子上。

在CDMP上測試了什么 (What’s tested on the CDMP)

The CDMP covers 14 topics —I’ve listed them in order of the prevalence with which they occur on the exam and provided a brief definition for each.

CDMP涵蓋了14個主題-我按考試中的普遍性順序列出了它們，并為每個主題提供了簡要定義。

Data Governance ( 11%) — practices and processes to ensure formal management of data assets. Read more.

數據治理 (11％)-確保對數據資產進行正式管理的實踐和流程。 。

Data Quality ( 11%) — assuring data is fit for consumption based on its accuracy, completeness, consistency, integrity, reasonability, timeliness, uniqueness/deduplication, validity, and accessibility. Read more.

數據質量 (11％)-根據數據的準確性，完整性，一致性，完整性，合理性，及時性，唯一性/重復數據刪除，有效性和可訪問性，確保數據適合消費。 。

Data Modelling and Design ( 11%) — translation of business needs into technical specifications. Read more.

數據建模和設計 (11％)-將業務需求轉換為技術規范。 。

Metadata Management (11%) — information about data collected. Read more.

元數據管理 (11％)-有關收集的數據的信息。 。

Master and Reference Data Management (10%) — reference data is information used to categorize other data found in a database, or information that is solely for relating data in a database to information beyond the boundaries of the organization. Master reference data refers to information that is shared across a number of systems within the organization. Read more.

主數據和參考數據管理 (10％)-參考數據是用于對數據庫中找到的其他數據進行分類的信息，或僅用于將數據庫中的數據與組織范圍之外的信息相關聯的信息。 主參考數據是指在組織內的多個系統之間共享的信息。 。

Data Warehousing and Business Intelligence (10%) — a data warehouse stores information from operational systems (as well as other data resources, potentially) in a way that is optimized to support decision-making processes. Business intelligence refers to the use of technology to gather and analyze data, then translate it into useful information. Read more.

數據倉庫和商業智能 (10％)- 數據倉庫以一種優化的方式存儲來自操作系統(以及潛在的其他數據資源)的信息，以支持決策流程。 商業智能是指使用技術來收集和分析數據，然后將其轉換為有用的信息。 。

Document and Content Management (6%) — technologies, methods, and tools used to organize and store an organization’s documents. Read more.

文檔和內容管理 (6％)-用于組織和存儲組織文檔的技術，方法和工具。 。

Data Integration and Interoperability ( 6%) — use of technical and business processes to merge data from different sources, with the goal of readily and efficiently providing access to valuable information. Read more.

數據集成和互操作性 (6％)-使用技術和業務流程來合并來自不同來源的數據，目的是容易而有效地提供對有價值信息的訪問。 。

Data Architecture (6%) — specifications to describe existing state, define data requirements, guide data integration, and control data assets, according to the organization’s data strategy. Read more.

數據體系結構 (6％)-根據組織的數據策略，用于描述現有狀態，定義數據需求，指導數據集成和控制數據資產的規范。 。

Data Security ( 6%) — implementation of policies and procedures to ensure people and things take the right actions with data and information assets, even in the presence of malicious inputs. Read more.

數據安全性 (6％)-實施政策和程序以確保人和物即使在存在惡意輸入的情況下也對數據和信息資產采取正確的措施。 。

Data Storage and Operations ( 6%) — characterization of hardware or software that holds, deletes, backs up, organizes, and secures an organization’s information. Read more.

數據存儲和運營 (6％)-表征，保存，刪除，備份，組織和保護組織信息的硬件或軟件。 。

Data Management Process ( 2%) — end-to-end management of data, including collection, control, protection, delivery, and enhancement. Read more.

數據管理流程 (2％)-數據的端到端管理，包括收集，控制，保護，交付和增強。 。

Big Data ( 2%) — extremely large datasets, often composed of various structured, unstructured, and semi-structured data types. Read more.

大數據 (2％)-極大的數據集，通常由各種結構化，非結構化和半結構化數據類型組成。 。

Data Ethics ( 2%) — code of conduct encompassing data handling, algorithms, and other practices to ensure that data is used appropriately in a moral context. Read more.

數據道德 (2％)-包含數據處理，算法和其他實踐的行為準則，以確保在道德環境中正確使用數據。 。

調查 (Survey)

Out of curiosity, I’d love to hear your thoughts about the most important aspect of data management. After you make your selection in the poll below, you’ll see what the community thinks as well.

出于好奇，我很想聽聽您對數據管理最重要方面的想法 。 在下面的民意調查中做出選擇后，您還將看到社區的想法。

What considerations drove your choice? Do you think studying for CDMP is an effective way to learn these topics? Let’s talk in the comments.

哪些因素促使您選擇？ 您認為學習CDMP是學習這些主題的有效方法嗎？ 讓我們在評論中談談。

為什么數據科學家應該獲得CDMP認證 (Why data scientists should get CDMP certified)

Still not convinced why data strategy is important? Let’s take a look from the perspective of a data scientist aiming to increase their knowledge and earning potential.

仍然不確定為什么數據策略很重要？ 讓我們從旨在增加他們的知識和創收潛力的數據科學家的角度來看一下。

Photo by Franki Chamaki on Unsplash. The signage is a trademark of Hivery, a company that leverages AI for the retail industry.圖片由Franki Chamaki在Unsplash上拍攝 。 該標牌是Hivery的商標，該公司在零售業中利用AI。

It’s been said that a data scientist sits at the nexus of statistics, computer science, and domain knowledge. Why would you want to add one more thing to your plate?

有人說數據科學家坐在統計，計算機科學和領域知識之間。 您為什么要在盤子里再添加一件事？

Successwise, you’re better off being good at two complementary skills than being excellent at one

成功地，與擁有一項相輔相成的技能相比，您最好擁有兩項相輔相成的技能

Scott Adams, author and creator of the Dilbert comics, offers the idea that “every skill you acquire doubles your odds of success.” He acknowledges this may be somewhat of an oversimplification — “obviously some skills are more valuable than others, and the twelfth skill you acquire might have less value than each of the first eleven” — but the point is that sometimes it’s better to go wide than to go deep.

迪爾伯特漫畫的作者和創作者斯科特·亞當斯 ( Scott Adams) 提出這樣的想法 ：“您獲得的每一項技能都會使成功幾率翻倍。” 他承認這可能是過于簡單化了幾分的- “明顯有些技能是比其他人更有價值，第十二技能，你獲得可能具有彼此前十的價值不大” -但問題是，有時， 最好 去寬比去深入。

Setting aside the relative magnitude of the benefit (because I seriously doubt it’s 2x per skill… thank you, law of diminishing marginal returns), it seems unquestionable that broadening your skillset can lead to more significant gains relative to toiling away at learning one specific skills. In a nutshell, this is why I think it’s important for a data scientist to learn data strategy.

拋開收益的相對幅度(因為我非常懷疑每項技能是2倍……謝謝，邊際收益遞減的規律)，相對于辛苦學習一種特定技能，擴大技能范圍似乎可以帶來更大的收益，這是毫無疑問的。 簡而言之，這就是為什么我認為對于數據科學家來說學習數據策略很重要。

Generally speaking, having diversity in your skillset allows you to:

一般來說， 技能組合的多樣性可以使您：

Problem solve more effectively by drawing on cross-disciplinary learnings

通過跨學科學習，更有效地解決問題

Communicate better with your teammates from other specialties

與其他專業的隊友更好地溝通

Get your foot in the door in terms of gaining access to new projects

進入新項目方面， 踏上大門

Understanding data strategy transforms you from being a data consumer into an empowered data advocate at your organization. It’s worth putting up with all the tongue twister acronyms (DMBOK — really? Couldn’t they have just called it The Data Management Book?) in order to deepen your appreciation for the end-to-end knowledge generating process.

了解數據策略可以使您從成為數據使用者轉變為組織中的授權數據擁護者 。 為了加深您對端到端知識生成過程的理解，值得使用所有繞口令的縮寫( DMBOK-真的嗎？他們難道就沒有將其稱為“數據管理書”嗎？ ) 。

其他使您的技能多樣化的文章 (Other articles to diversify your skills)

If you enjoyed reading this article, follow me on Medium, LinkedIn, and Twitter for more ideas to advance your data science skills. Join the study group for the CDMP Exam.

如果您喜歡閱讀本文 ，請在Medium ， LinkedIn和Twitter上關注我，以獲取更多提高您的數據科學技能的想法。 加入CDMP考試學習組 。

翻譯自: https://towardsdatascience.com/best-data-science-certification-4f221ac3dbe3

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