menu
{ "item_title" : "Essentials of Data Engineering", "item_author" : [" Koso Brown "], "item_description" : "Data has been a vital component of human identity since the early Roman times. Our increasing interconnectedness caused us to encounter scale issues in the US census of 1880. 59.5% of the world's population is online presently, up from 0% in the past. The 4.32 billion people who own cellphones produce a massive amount of data. What has been the human response to the need to analyze this unprecedented amount of data? We have created distributed computing, cloud computing, relational databases, punch cards, Hadoop, and even real-time stream processing in an effort to manage this deluge of 1s and 0s.Among the many subjects we covered in this reading were:1.Dta engineering2.Process of data engineering3.Pipeline for data engineering4.ETL processetc.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/79/887/795/9798877956650_b.jpg", "price_data" : { "retail_price" : "8.00", "online_price" : "8.00", "our_price" : "8.00", "club_price" : "8.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Essentials of Data Engineering|Koso Brown

Essentials of Data Engineering : Create a solid data system plan and build

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

Data has been a vital component of human identity since the early Roman times. Our increasing interconnectedness caused us to encounter scale issues in the US census of 1880. 59.5% of the world's population is online presently, up from 0% in the past. The 4.32 billion people who own cellphones produce a massive amount of data. What has been the human response to the need to analyze this unprecedented amount of data? We have created distributed computing, cloud computing, relational databases, punch cards, Hadoop, and even real-time stream processing in an effort to manage this deluge of 1s and 0s.
Among the many subjects we covered in this reading were:
1.Dta engineering
2.Process of data engineering
3.Pipeline for data engineering
4.ETL process
etc.

This item is Non-Returnable

Details

  • ISBN-13: 9798877956650
  • ISBN-10: 9798877956650
  • Publisher: Independently Published
  • Publish Date: January 2024
  • Dimensions: 8.5 x 5.5 x 0.09 inches
  • Shipping Weight: 0.14 pounds
  • Page Count: 44

Related Categories

You May Also Like...

    1

BAM Customer Reviews