menu
{ "item_title" : "Springer Handbook of Data Engineering", "item_author" : [" Fatos Xhafa "], "item_description" : "After the fast development in Internet technologies, data has been coined as the new oil. Indeed, on the one hand, Internet technologies have enabled gathering and storing unlimited amounts of data in Data Centers and, on the other, Cloud computing ecosystem has enabled unlimited computing capacity for processing and analyzing the data. Data knowledge requires data engineering to enable knowledge integration into decision-making, businesses processes, etc.Data Engineering addresses building and deployment of distributed, scalable and reliable data infrastructures and integrating them into the knowledge and business pipelines of institutions, organizations, businesses and alike.The Handbook of Data Engineering provides a comprehensive coverage of the engineering aspects of building and deploying distributed, scalable, secure and reliable data infrastructures for intelligent processing and decision making systems.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/03/192/371/3031923715_b.jpg", "price_data" : { "retail_price" : "549.99", "online_price" : "549.99", "our_price" : "549.99", "club_price" : "549.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Springer Handbook of Data Engineering|Fatos Xhafa

Springer Handbook of Data Engineering

PRE-ORDER NOW:
local_shippingShip to Me
Preorder. This item will be available on October 28, 2026 .
FREE Shipping for Club Members help

Overview

After the fast development in Internet technologies, data has been coined as the "new oil". Indeed, on the one hand, Internet technologies have enabled gathering and storing unlimited amounts of data in Data Centers and, on the other, Cloud computing ecosystem has enabled unlimited computing capacity for processing and analyzing the data. Data knowledge requires data engineering to enable knowledge integration into decision-making, businesses processes, etc.

Data Engineering addresses building and deployment of distributed, scalable and reliable data infrastructures and integrating them into the knowledge and business pipelines of institutions, organizations, businesses and alike.

The Handbook of Data Engineering provides a comprehensive coverage of the engineering aspects of building and deploying distributed, scalable, secure and reliable data infrastructures for intelligent processing and decision making systems.

This item is Non-Returnable

Details

  • ISBN-13: 9783031923715
  • ISBN-10: 3031923715
  • Publisher: Springer
  • Publish Date: October 2026
  • Page Count: 1123

Related Categories

You May Also Like...

    1

BAM Customer Reviews