El Libro del Día: 2016-09-14
Titulo: Understanding Compression
Autor: Colt McAnlis, Aleks Haecky
Editorial: O'Reilly
Nro Paginas: 241
Capítulos:
1. Let’s Not Be Boring
2. Do Not Skip This Chapter
3. Breaking Entropy
4. Variable-Length Codes
5. Statistical Encoding
6. Adaptive Statistical Encoding
7. Dictionary Transforms
8. Contextual Data Transforms
9. Data Modeling
10. Switching Gears
11. Evaluating Compression
12. Compressing Image Data Types
13. Serialized Data
14. Lossy Data Compression
15. Making the World a Little Smaller
Glossary of Compression Words
Descarga:
Understanding_Compression
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Mostrando las entradas con la etiqueta Statistical. Mostrar todas las entradas
Mostrando las entradas con la etiqueta Statistical. Mostrar todas las entradas
miércoles, 14 de septiembre de 2016
El Libro del Día: Understanding Compression
Etiquetas:
Adaptive,
Aleks Haecky,
Codes,
Colt McAnlis,
Compression,
Data,
Data Compression,
Developers,
Dictionary,
Encoding,
Gears,
Image,
Libros,
Modeling,
O'Reilly,
Serialized,
Statistical,
Switching,
Transforms,
Understanding
lunes, 25 de mayo de 2015
El Libro del Día: Expert TSQL Window Functions in SQL Server
El Libro del Día: 2015-05-25
Titulo: Expert TSQL Window Functions in SQL Server
Autor: Kathi Kellenberger, Clayton Groom
Editorial: Apress
Nro Paginas: 140
Capítulos:
Chapter 1: Looking Through the Window
Chapter 2: Discovering Ranking Functions
Chapter 3: Summarizing with Window Aggregates
Chapter 4: Tuning for Better Performance
Chapter 5: Calculating Running and Moving Aggregates
Chapter 6: Adding Frames to the Window
Chapter 7: Taking a Peek at Another Row
Chapter 8: Understanding Statistical Functions
Chapter 9: Time Range Calculations and Trends
Descarga:
Expert_TSQL_Window_Functions_in_SQL_Server
Titulo: Expert TSQL Window Functions in SQL Server
Autor: Kathi Kellenberger, Clayton Groom
Editorial: Apress
Nro Paginas: 140
Capítulos:
Chapter 1: Looking Through the Window
Chapter 2: Discovering Ranking Functions
Chapter 3: Summarizing with Window Aggregates
Chapter 4: Tuning for Better Performance
Chapter 5: Calculating Running and Moving Aggregates
Chapter 6: Adding Frames to the Window
Chapter 7: Taking a Peek at Another Row
Chapter 8: Understanding Statistical Functions
Chapter 9: Time Range Calculations and Trends
Descarga:
Expert_TSQL_Window_Functions_in_SQL_Server
Etiquetas:
Aggregates,
Apress,
Calculating,
Clayton Groom,
Discovering,
Expert,
Frames,
Kathi Kellenberger,
Libros,
Looking,
Performance,
Rows,
SQL Server,
Statistical,
Time Range,
Trends,
TSQL,
Tuning,
Window Functions
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