The Data Warehouse ETL Toolkit: Practical Techniques for Extracting, Cleaning, Conforming, and Delivering Data
ISBN-13:
9780764567575
ISBN-10:
0764567578
Edition:
1
Author:
Ralph Kimball, Joe Caserta
Publication date:
2004
Publisher:
Wiley
Format:
Paperback
528 pages
Category:
Data Warehousing
,
Databases & Big Data
,
Networking & Cloud Computing
FREE US shipping
Rent
35 days
Due Jun 20, 2024
35 days
from $34.55
USD
Book details
ISBN-13:
9780764567575
ISBN-10:
0764567578
Edition:
1
Author:
Ralph Kimball, Joe Caserta
Publication date:
2004
Publisher:
Wiley
Format:
Paperback
528 pages
Category:
Data Warehousing
,
Databases & Big Data
,
Networking & Cloud Computing
Summary
The Data Warehouse ETL Toolkit: Practical Techniques for Extracting, Cleaning, Conforming, and Delivering Data (ISBN-13: 9780764567575 and ISBN-10: 0764567578), written by authors
Ralph Kimball, Joe Caserta, was published by Wiley in 2004.
With an overall rating of 3.5 stars, it's a notable title among other
Data Warehousing
(Databases & Big Data, Networking & Cloud Computing) books. You can easily purchase or rent The Data Warehouse ETL Toolkit: Practical Techniques for Extracting, Cleaning, Conforming, and Delivering Data (Paperback) from BooksRun,
along with many other new and used
Data Warehousing
books
and textbooks.
And, if you're looking to sell your copy, our current buyback offer is $0.45.
Description
- Cowritten by Ralph Kimball, the world's leading data warehousing authority, whose previous books have sold more than 150,000 copies
- Delivers real-world solutions for the most time- and labor-intensive portion of data warehousing-data staging, or the extract, transform, load (ETL) process
- Delineates best practices for extracting data from scattered sources, removing redundant and inaccurate data, transforming the remaining data into correctly formatted data structures, and then loading the end product into the data warehouse
- Offers proven time-saving ETL techniques, comprehensive guidance on building dimensional structures, and crucial advice on ensuring data quality
We would LOVE it if you could help us and other readers by reviewing the book
Book review
Congratulations! We have received your book review.
{user}
{createdAt}
by {truncated_author}