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1

Myler, Patricia M. Introduction to data processing. Edited by Santerre Daria, Kimble Charles, and Austin Bette. NTC LearningWorks, 1997.

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2

Elizabeth, O'Neil, ed. Database--principles, programming, and performance. 2nd ed. Morgan Kaufmann Publishers, 2001.

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3

R Packages: Organize, Test, Document, and Share Your Code. O'Reilly, 2015.

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4

R Packages: Organize, Test, Document, and Share Your Code. O'Reilly Media, Incorporated, 2023.

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5

Anonymizing Health Data: Case Studies and Methods to Get You Started. O'Reilly Media, Incorporated, 2013.

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6

Anonymizing Health Data Case Studies And Methods To Get You Started. O'Reilly Media, Inc, USA, 2014.

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7

Anonymizing Health Data: Case Studies and Methods to Get You Started. O'Reilly Media, Incorporated, 2013.

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8

Anonymizing Health Data: Case Studies and Methods to Get You Started. O'Reilly Media, Incorporated, 2013.

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9

Ethics Of Big Data. O'Reilly Media, 2012.

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10

Kimble, Charles, Daria Santerre, Bette Austin, and Patricia M. Myler. Introduction to Data Processing ((Test Yourself Ser.)). Ntc Pub Group, 1996.

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11

Hands-On Programming with R: Write Your Own Functions and Simulations. O'Reilly Media, 2014.

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12

Advanced Analytics with Spark: Patterns for Learning from Data at Scale. O’Reilly Media, 2015.

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13

Beaugureau, Marie, ed. Advanced Analytics with Spark: Patterns for Learning from Data at Scale. 2nd ed. O’Reilly Media, 2017.

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14

Doing Data Science. O'Reilly Media, Inc, USA, 2013.

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15

Data Science at the Command Line. O'Reilly, 2014.

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16

Learning Spark: Lightning-Fast Big Data Analysis. O'Reilly Media, 2015.

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17

O'Neil, Elizabeth, and Patrick O'Neil. Database: Principles, Programming, and Performance, Second Edition (The Morgan Kaufmann Series in Data Management Systems). 2nd ed. Morgan Kaufmann, 2000.

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18

Database--principles, programming, performance. Morgan Kaufmann Publishers, 1994.

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