Жанры
Авторы
Контакты
О сайте
Книжные новинки
Популярные книги
Найти
Главная
Авторы
Alan R. Simon
Data Lakes For Dummies
Читать книгу Data Lakes For Dummies - Alan R. Simon - Страница 1
Оглавление
Предыдущая
Следующая
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
...
61
Оглавление
Купить и скачать книгу
Вернуться на страницу книги Data Lakes For Dummies
Оглавление
Страница 1
Страница 2
Data Lakes For Dummies® To view this book's Cheat Sheet, simply go to
www.dummies.com
and search for “Data Lakes For Dummies Cheat Sheet” in the Search box. Table of Contents
List of Tables
List of Illustrations
Guide
Pages
Страница 8
Страница 9
Страница 10
Jumping into the Data Lake
What Is a Data Lake?
Rock-solid water
A really great lake
Expanding the data lake
More than just the water
Different types of data
Structured data: Staying in your own lane
Unstructured data: A picture may be worth ten million words
Semi-structured data: Stuck in the middle of the lake
Different water, different data
Refilling the data lake
Everyone visits the data lake
The Data Lake Olympics
The bronze zone
The silver zone
The gold zone
LINKING THE DATA LAKE ZONES TOGETHER
The sandbox
Data Lakes and Big Data
THE THREE (OR FOUR OR FIVE OR MORE) VS OF BIG DATA AND DATA LAKES
The Data Lake Water Gets Murky
BACK TO THE FUTURE WITH NAME CHANGES
Страница 34
Planning Your Day (and the Next Decade) at the Data Lake
Carpe Diem: Seizing the Day with Big Data
Managing Equal Opportunity Data
BACK TO THE FUTURE, PART 2
Building Today’s — and Tomorrow’s — Enterprise Analytical Data Environment
Constructing a bionic data environment
Strengthening the analytics relationship between IT and the business
Reducing Existing Stand-Alone Data Marts
Dealing with the data fragmentation problem
Decision point: Retire, isolate, or incorporate?
Data mart retirement
Data mart isolation
Data mart incorporation
Eliminating Future Stand-Alone Data Marts
Establishing a blockade
Providing a path of least resistance
Establishing a Migration Path for Your Data Warehouses
Sending a faithful data warehouse off to a well-deserved retirement
Resettling a data warehouse into your data lake environment
Aligning Data with Decision Making
Deciding what your organization wants out of analytics
Mapping your analytics needs to your data lake road map
Building the best data pipelines inside your data lake
Addressing future gaps and shortfalls
Speedboats, Canoes, and Lake Cruises: Traversing the Variable-Speed Data Lake
Managing Overall Analytical Costs
{buyButton}
Подняться наверх