NT, KX, and MV Edits: Chapter 10

[bbengfort]

• [x] NT edits
• [x] KX edits
• [x] MV edits
• [x] Add summary to chapter title, e.g. "Summary: Doing Distributed Data Science"
• [x] Create Parts, e.g. "Part 1: Lower-level tools: Cluster use and interaction with Python, MapReduce, and Spark" and "Part 2: Higher-level tools: Data mining, data ingestion, data flows, and machine learning."
• [x] Review major headers: Data Product Life Cycle, Machine Learning [or even Machine Learning Life Cycle?], and Conclusion
• [x] Clarify data product vs. data-driven app as a note, see: comment to reviewer.
• [ ] Glossary
• [x] Shout out to Kostas and Marck as tech reviewers and remove blurb about early release in preface.
• [x] Check that figures list is up to date.
• [x] Mention GitHub Repo in preface
• [ ] Add sample output of map and reduce in keyspace paterns section
• [x] p134 - define what init is doing in note.

[bbengfort]

From Nicole:

Following up about the proper way to add Parts to Atlas. You may add Parts as separate files, and then organize the files in the Build list accordingly. You can put this in the separate AsciiDoc file for each Part:

[[unique_ID_goes_here]]
[part]
== part_title_goes_here

[partintro]
--

<Any introductory Part paragraphs go here.>

[bbengfort]

From Nicole:

Quick note on my comment regarding the logos in Fig. 10-4. Since these all appear to be logos for the open-source Apache products, I'm not too worried about their use in the figure (although please double check that they're all for Apache versions). It's when we get into company logos that we really want to avoid them.

[bbengfort]

TOC:

• Summary: Doing Distributed Data Science
  • Data Product Life Cycle
  • Data Lakes
  • Data Ingestion
  • Computational Data Stores
    • Relational Approaches: Hive
    • NoSQL Approaches: HBase
  • Machine Learning Life Cycle
  • Conclusion

[bbengfort]

Didn't see any comments in the MV PDF