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Databases & Big Data
Getting Started with Impala by Russell John
epub, pdf |eng | 2014-09-24 | Author:Russell, John

Understanding Cluster Topology As a developer, you might work with a different cluster setup than is actually used in production. Here are some things to watch out for, to understand ...
( Category: Data Processing January 31,2016 )
The New Relational Database Dictionary by C. J. Date
mobi, epub |eng | 2016-01-14 | Author:C. J. Date

table 1. SQL analog of either a relation or a relvar, as the context demands. Here are some of the major differences between tables in SQL and their relational counterparts: ...
( Category: Information Theory January 15,2016 )
Algorithmic Life by Louise Amoore
epub |eng | 2015-12-21 | Author:Louise Amoore

The first step in our project was to measure the trackers on a dataset of digital subprime websites at two separate points in time (July and November 2013) and then ...
( Category: Data Processing January 13,2016 )
Algorithmic Life: Calculative Devices in the Age of Big Data by
azw3 |eng | 2015-12-21 | Author:

The first step in our project was to measure the trackers on a dataset of digital subprime websites at two separate points in time (July and November 2013) and then ...
( Category: Data Processing January 13,2016 )
Beginning Oracle Application Express 5 by Doug Gault
epub, pdf |eng | | Author:Doug Gault

There are four types of validations: item level, page level, and, for tabular forms, column level and row level. Item-level validations operate against a single APEX item. Page-level validations are ...
( Category: Oracle January 11,2016 )
Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques by Baesens Bart & Van Vlasselaer Veronique & Verbeke Wouter
epub |eng | 2015-07-26 | Author:Baesens, Bart & Van Vlasselaer, Veronique & Verbeke, Wouter

Figure 4.37 Calculating Predictions Using a Cut-Off A confusion matrix can now be calculated as shown in Table 4.5. Table 4.5 Confusion Matrix Actual Status Positive (Fraud) Negative (No Fraud) ...
( Category: Data Mining December 31,2015 )
Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection (Wiley and SAS Business Series) by Baesens Bart & Van Vlasselaer Veronique & Verbeke Wouter
azw3 |eng | 2015-07-26 | Author:Baesens, Bart & Van Vlasselaer, Veronique & Verbeke, Wouter [Baesens, Bart]

Figure 4.37 Calculating Predictions Using a Cut-Off A confusion matrix can now be calculated as shown in Table 4.5. Table 4.5 Confusion Matrix Actual Status Positive (Fraud) Negative (No Fraud) ...
( Category: Data Mining December 31,2015 )
Big Data Fundamentals: Concepts, Drivers & Techniques (The Prentice Hall Service Technology Series from Thomas Erl) by Erl Thomas & Khattak Wajid & Buhler Paul
azw3 |eng | 2015-12-29 | Author:Erl, Thomas & Khattak, Wajid & Buhler, Paul [Erl, Thomas]

Figure 5.14 An example of the combination of sharding and peer-to-peer replication. CAP Theorem The Consistency, Availability, and Partition tolerance (CAP) theorem, also known as Brewer’s theorem, expresses a triple ...
( Category: Data Mining December 31,2015 )
The Patient Revolution by Tailor Krisa
epub |eng | 2015-12-14 | Author:Tailor, Krisa

While all of this is exciting progress for behavior change, we need more direct-to-consumer tools to give behavior change the push it needs. We've talked about how healthcare providers and ...
( Category: Data Mining December 30,2015 )
The Patient Revolution: How Big Data and Analytics Are Transforming the Health Care Experience (Wiley and SAS Business Series) by Tailor Krisa
azw3 |eng | 2015-12-14 | Author:Tailor, Krisa [Tailor, Krisa]

While all of this is exciting progress for behavior change, we need more direct-to-consumer tools to give behavior change the push it needs. We've talked about how healthcare providers and ...
( Category: Data Mining December 30,2015 )
Statistics For Big Data For Dummies by Anderson Alan
epub |eng | 2015-08-10 | Author:Anderson, Alan

The scatter plot shows that as X increases, Y tends to decrease; the trend line has a negative slope. Therefore, X and Y are negatively correlated. Figure 12-5 shows a ...
( Category: Data Mining December 29,2015 )
Statistics for Big Data For Dummies by Anderson Alan
azw3 |eng | 2015-08-10 | Author:Anderson, Alan [Anderson, Alan]

Figure 12-4 shows a scatter plot and the trend line for two variables that are negatively correlated. © John Wiley & Sons, Inc. Figure 12-4: Scatter plot of two negatively ...
( Category: Data Mining December 29,2015 )
Big Data MBA: Driving Business Strategies with Data Science by Bill Schmarzo
epub, pdf |eng | 2015-12-10 | Author:Bill Schmarzo [Schmarzo, Bill]

NOTE It is typical that 40 to 60 percent of the data warehouse processing load is performing ETL work. Off-loading some of the ETL processes to the data lake can ...
( Category: Data Mining December 28,2015 )
Data Analysis Using SQL and Excel by Linoff Gordon S
azw3 |eng | 2015-12-02 | Author:Linoff, Gordon S. [Linoff, Gordon S.]

Comparison of Hazards by Stops in Year in Excel The previous chapter showed two ways of comparing changes in survival probabilities over time. The first method was to use starts ...
( Category: Data Warehousing December 25,2015 )
Unsupervised Learning with R by Erik Rodriguez Pacheco
epub, pdf |eng | 2015-12-02 | Author:Erik Rodriguez Pacheco [Pacheco, Erik Rodriguez]

The example shows just some of the statistics. The cluster.stats function may generate more. Hierarchical clustering with factors As mentioned in clustering techniques based on similarity and distance, these concepts ...
( Category: Data Mining December 24,2015 )

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