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Rendered at 02:14:22 01/05/25
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Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable,
$30.43
Ships from
India
Shipping options
Estimated to arrive by Tue, Jan 28th.
Details
FREE via International Shipping (2 to 3 weeks) to United States
Ships from
India
Offer policy
OBO - Seller accepts offers on this item.
Details
Return policy
Refunds available: See booth/item description for details
Purchase protection
Payment options
PayPal accepted
PayPal Credit accepted
Venmo accepted
PayPal, MasterCard, Visa, Discover, and American Express accepted
Maestro accepted
Amazon Pay accepted
Shipping options
Estimated to arrive by Tue, Jan 28th.
Details
FREE via International Shipping (2 to 3 weeks) to United States
Ships from
India
Offer policy
OBO - Seller accepts offers on this item.
Details
Return policy
Refunds available: See booth/item description for details
Purchase protection
Payment options
PayPal accepted
PayPal Credit accepted
Venmo accepted
PayPal, MasterCard, Visa, Discover, and American Express accepted
Maestro accepted
Amazon Pay accepted
Item traits
| Category: | |
|---|---|
| Quantity Available: |
9 in stock |
| Condition: |
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ... Read moreabout the conditionBrand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the seller’s list... |
| ISBN: |
9781449373320 |
| Format: |
Trade Paperback |
| Language: |
English |
| Publication Year: |
2017 |
| Type: |
Textbook |
| Publication Name: |
Designing Data-Intensive Applications : The Big Ideas Behind Reli |
| Author: |
Martin Kleppmann |
| Publisher: |
O'reilly Media, Incorporated |
Listing details
| Shipping discount: |
No combined shipping offered |
|---|---|
| Posted for sale: |
More than a week ago |
| Item number: |
1641118303 |
Item description
Added to your wish list!
- Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable,
- 9 in stock
- Price negotiable
- Handling time 3 days. Estimated delivery: Tue, Jan 28th
- Returns/refunds accepted
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