Errata
The errata list is a list of errors and their corrections that were found after the product was released. If the error was corrected in a later version or reprint the date of the correction will be displayed in the column titled "Date Corrected".
The following errata were submitted by our customers and approved as valid errors by the author or editor.
Color key: Serious technical mistake Minor technical mistake Language or formatting error Typo Question Note Update
Version | Location | Description | Submitted By | Date submitted | Date corrected |
---|---|---|---|---|---|
Page p. 126 of pdf 1st paragraph |
Fourth, ELT performs transformations one record at a time, which can also be slow. |
James Serra |
Feb 27, 2024 | Mar 29, 2024 | |
Page p.156 of PDF last sentence of last paragraph |
a data fabric’s advanced governance capabilities help can maintain compliance no matter where the data is. |
James Serra |
Feb 27, 2024 | Mar 29, 2024 | |
Page p.139 of PDF Under Step 5 |
business users can analyze it using familiar tools, such as reports and dashboards. |
James Serra |
Feb 28, 2024 | Mar 29, 2024 | |
Page Chapter 12 - The Data Lakehouse Architecture Figure 12-2 |
Figure 12-2 shows an RDW in a Data Lakehouse Architecture Note from the Author or Editor: |
Jaap Vermeer | Mar 05, 2024 | Mar 29, 2024 | |
Printed | Page back cover On the bullet list |
Add this bullet point at the end: |
James Serra |
Mar 22, 2024 | |
Page Page 1 of chapter 1 (Big Data) End of paragraph 2 |
At the end of paragraph 2: "It had to be scraped and restarted from scratch." |
William Strausser | Aug 17, 2024 | ||
Page page 8 Figure 1-3 |
manged should be managed in Stage 2 |
Andy South | Sep 02, 2024 | ||
Page II. Common Data Architecture Concepts - 8. Dimensional Modeling: Tracking Changes Type 3 |
Type 3 SCD is described as follows in the book: Type 3 SCDs create a new record for each change so you can maintain a complete history of the data. This type of SCD is the most complex but also the most flexible. For example, when a customer moves from one US state to another, a Type 3 SCD would store the entire old record and an entire new record, which could include dozens of fields and not just the US state field. Note from the Author or Editor: |
Arnould Monteyne | Sep 11, 2024 | ||
Page III. Data Architectures - 13. Data Mesh Foundation Data Mesh Hype |
The link to the Gartner Hype Cycle has expired Note from the Author or Editor: |
Arnould Monteyne | Sep 20, 2024 | ||
Page IV. People, Processes, and Technology - 16. Technologies Software Frameworks - Databricks - 6th paragraph |
"Databricks made Data Lake open source in 2019..." Note from the Author or Editor: |
Arnould Monteyne | Sep 26, 2024 | ||
Printed | Page 5 under "Variety" section |
"such as logs and CSV", should be "such as logs in CSV" |
James Serra |
Aug 09, 2024 | |
Printed | Page 21 second paragraph |
change "is a transactional storage software layer that runs" |
James Serra |
Mar 06, 2024 | Mar 29, 2024 |
Page 33 Summary Chapter 1 4th paragraph of the Summary |
|
Jaap Vermeer | Feb 20, 2024 | Mar 29, 2024 | |
Printed | Page 164 First paragraph |
Add the following sentence as the second sentence in the first paragraph (so right before "This solves six problems...": |
James Serra |
Mar 06, 2024 | Mar 29, 2024 |
Page 184 Last bullet physical EDW |
In a physical EDW, there is only place to control data, so you aren’t duplicating your efforts or your data. |
Jaap Vermeer | Mar 01, 2024 | Mar 29, 2024 |