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Author: Monika Wahi
Publisher: Packt Publishing Ltd
ISBN: 1789531187
Category : Computers
Languages : en
Pages : 494
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Book Description
Build a strong foundation in SAS data warehousing by understanding data transformation code and policy, data stewardship and management, interconnectivity between SAS and other warehousing products, and print and web reporting Key FeaturesUnderstand how to use SAS macros for standardizing extract, transform, and load (ETL) protocolsDevelop and use data curation files for effective warehouse managementLearn how to develop and manage ETL, policies, and print and web reports that meet user needsBook Description SAS is used for various functions in the development and maintenance of data warehouses, thanks to its reputation of being able to handle ’big data’. This book will help you learn the pros and cons of storing data in SAS. As you progress, you’ll understand how to document and design extract-transform-load (ETL) protocols for SAS processes. Later, you’ll focus on how the use of SAS arrays and macros can help standardize ETL. The book will also help you examine approaches for serving up data using SAS and explore how connecting SAS to other systems can enhance the data warehouse user’s experience. By the end of this data management book, you will have a fundamental understanding of the roles SAS can play in a warehouse environment, and be able to choose wisely when designing your data warehousing processes involving SAS. What you will learnDevelop efficient ways to manage data input/output (I/O) in SASCreate and manage extract, transform, and load (ETL) code in SASStandardize ETL through macro variables, macros, and arraysIdentify data warehouse users and ensure their needs are metDesign crosswalk and other variables to serve analyst needsMaintain data curation files to improve communication and managementUse the output delivery system (ODS) for print and web reportingConnect other products to SAS to optimize storage and reportingWho this book is for This book is for data architects, managers leading data projects, and programmers or developers using SAS who want to effectively maintain a data lake, data mart, or data warehouse.
Author: Monika Wahi
Publisher: Packt Publishing Ltd
ISBN: 1789531187
Category : Computers
Languages : en
Pages : 494
Get Book Here
Book Description
Build a strong foundation in SAS data warehousing by understanding data transformation code and policy, data stewardship and management, interconnectivity between SAS and other warehousing products, and print and web reporting Key FeaturesUnderstand how to use SAS macros for standardizing extract, transform, and load (ETL) protocolsDevelop and use data curation files for effective warehouse managementLearn how to develop and manage ETL, policies, and print and web reports that meet user needsBook Description SAS is used for various functions in the development and maintenance of data warehouses, thanks to its reputation of being able to handle ’big data’. This book will help you learn the pros and cons of storing data in SAS. As you progress, you’ll understand how to document and design extract-transform-load (ETL) protocols for SAS processes. Later, you’ll focus on how the use of SAS arrays and macros can help standardize ETL. The book will also help you examine approaches for serving up data using SAS and explore how connecting SAS to other systems can enhance the data warehouse user’s experience. By the end of this data management book, you will have a fundamental understanding of the roles SAS can play in a warehouse environment, and be able to choose wisely when designing your data warehousing processes involving SAS. What you will learnDevelop efficient ways to manage data input/output (I/O) in SASCreate and manage extract, transform, and load (ETL) code in SASStandardize ETL through macro variables, macros, and arraysIdentify data warehouse users and ensure their needs are metDesign crosswalk and other variables to serve analyst needsMaintain data curation files to improve communication and managementUse the output delivery system (ODS) for print and web reportingConnect other products to SAS to optimize storage and reportingWho this book is for This book is for data architects, managers leading data projects, and programmers or developers using SAS who want to effectively maintain a data lake, data mart, or data warehouse.
Author: Rick Aster
Publisher: Tab Books
ISBN:
Category : Computers
Languages : en
Pages : 590
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Book Description
Quick solutions, techniques, & strategies for getting the most out of the SAS System make this the perfect resource for busy SAS users & programmers. Now updated for versions 6.08-6.10, this best-selling toolkit provides all of the book's routines on a handy, ready-to-use disk. Rick Aster & Rhena Seidman share clever, little-known programming tips & secrets they've perfected during years of SAS programming & consulting. The right & wrong ways to do things, ways to facilitate complicated tasks, & the tricks of SAS pros can all be found in this book, with a programmer's perspective no other book provides.
Author: Monika Wahi
Publisher: John Wiley & Sons
ISBN: 1394251475
Category : Medical
Languages : en
Pages : 407
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Book Description
Break down biostatistics, make sense of complex concepts, and pass your class If you're taking biostatistics, you may need or want a little extra assistance as you make your way through. Biostatistics For Dummies follows a typical biostatistics course at the college level, helping you understand even the most difficult concepts, so you can get the grade you need. Start at the beginning by learning how to read and understand mathematical equations and conduct clinical research. Then, use your knowledge to analyze and graph your data. This new edition includes more example problems with step-by-step walkthroughs on how to use statistical software to analyze large datasets. Biostatistics For Dummies is your go-to guide for making sense of it all. Review basic statistics and decode mathematical equations Learn how to analyze and graph data from clinical research studies Look for relationships with correlation and regression Use software to properly analyze large datasets Anyone studying in clinical science, public health, pharmaceutical sciences, chemistry, and epidemiology-related fields will want this book to get through that biostatistics course.
Author: James Gearheart
Publisher: SAS Institute
ISBN: 1642958069
Category : Computers
Languages : en
Pages : 255
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Book Description
Learn data science concepts with real-world examples in SAS! End-to-End Data Science with SAS: A Hands-On Programming Guide provides clear and practical explanations of the data science environment, machine learning techniques, and the SAS programming knowledge necessary to develop machine learning models in any industry. The book covers concepts including understanding the business need, creating a modeling data set, linear regression, parametric classification models, and non-parametric classification models. Real-world business examples and example code are used to demonstrate each process step-by-step. Although a significant amount of background information and supporting mathematics are presented, the book is not structured as a textbook, but rather it is a user’s guide for the application of data science and machine learning in a business environment. Readers will learn how to think like a data scientist, wrangle messy data, choose a model, and evaluate the model’s effectiveness. New data scientists or professionals who want more experience with SAS will find this book to be an invaluable reference. Take your data science career to the next level by mastering SAS programming for machine learning models.
Author: Parteek Bhatia
Publisher: Cambridge University Press
ISBN: 110858585X
Category : Computers
Languages : en
Pages : 514
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Book Description
Written in lucid language, this valuable textbook brings together fundamental concepts of data mining and data warehousing in a single volume. Important topics including information theory, decision tree, Naïve Bayes classifier, distance metrics, partitioning clustering, associate mining, data marts and operational data store are discussed comprehensively. The textbook is written to cater to the needs of undergraduate students of computer science, engineering and information technology for a course on data mining and data warehousing. The text simplifies the understanding of the concepts through exercises and practical examples. Chapters such as classification, associate mining and cluster analysis are discussed in detail with their practical implementation using Weka and R language data mining tools. Advanced topics including big data analytics, relational data models and NoSQL are discussed in detail. Pedagogical features including unsolved problems and multiple-choice questions are interspersed throughout the book for better understanding.
Author: Ron Cody
Publisher: SAS Institute
ISBN: 1635266564
Category : Computers
Languages : en
Pages : 553
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Book Description
Learn to program SAS by example! Learning SAS by Example, A Programmer’s Guide, Second Edition, teaches SAS programming from very basic concepts to more advanced topics. Because most programmers prefer examples rather than reference-type syntax, this book uses short examples to explain each topic. The second edition has brought this classic book on SAS programming up to the latest SAS version, with new chapters that cover topics such as PROC SGPLOT and Perl regular expressions. This book belongs on the shelf (or e-book reader) of anyone who programs in SAS, from those with little programming experience who want to learn SAS to intermediate and even advanced SAS programmers who want to learn new techniques or identify new ways to accomplish existing tasks. In an instructive and conversational tone, author Ron Cody clearly explains each programming technique and then illustrates it with one or more real-life examples, followed by a detailed description of how the program works. The text is divided into four major sections: Getting Started, DATA Step Processing, Presenting and Summarizing Your Data, and Advanced Topics. Subjects addressed include Reading data from external sources Learning details of DATA step programming Subsetting and combining SAS data sets Understanding SAS functions and working with arrays Creating reports with PROC REPORT and PROC TABULATE Getting started with the SAS macro language Leveraging PROC SQL Generating high-quality graphics Using advanced features of user-defined formats and informats Restructuring SAS data sets Working with multiple observations per subject Getting started with Perl regular expressions You can test your knowledge and hone your skills by solving the problems at the end of each chapter.
Author: Rajender Kumar
Publisher: Jamba Academy
ISBN: 1960833022
Category : Computers
Languages : en
Pages : 317
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Book Description
Are you tired of feeling like you're stuck in a dead-end job with no room for growth or advancement? Are you ready to take your career to the next level and start making real money? Look no further than "Mastering Data Analysis with Python." This comprehensive guide is designed to teach you the skills you need to become a top-paying data analyst. With a focus on the powerful Python programming language, you'll learn how to collect, clean, and analyze data like a pro. But that's not all - you'll also discover how to use this data to make informed business decisions and drive real results. Key Features: Here's just a taste of what you'll learn in this book: How to use Python's built-in libraries to manipulate and analyze data like a pro Techniques for cleaning and prepping data for analysis Advanced data visualization techniques to help you communicate your findings How to use statistical methods to draw meaningful insights from your data And much more! WHO THIS BOOK IS FOR? Data analysts and scientists who want to learn how to use Python for data analysis Programmers who want to add data analysis skills to their repertoire Anyone interested in exploring and visualizing data using Python Students and professionals looking to improve their data analysis and visualization skills Individuals interested in machine learning and artificial intelligence who need to learn data analysis fundamentals. What other people says: But don't just take our word for it. Here's what some of our readers have had to say: "I've been working as a data analyst for a few years now, but this book taught me so many new techniques that I was able to immediately apply to my job and start making more money." "I've always been interested in data analysis, but I didn't know where to start. This book is the perfect introduction to the field and has helped me land my dream job." "I was able to use the skills I learned in this book to negotiate a raise and make an additional $100,000 per year!" Outcome: Gain proficiency in NumPy, Pandas, and Matplotlib Learn to handle data effectively using Python Develop the skills to perform exploratory data analysis and data visualization Acquire the knowledge to build predictive models and perform statistical analysis Learn to handle large datasets and work with real-world data Master the skills to communicate data insights effectively Gain confidence in using Python for data analysis and visualization Table of Contents 1: Introduction to Data Analysis with Python 2: Getting Started with Python 3: Built-in Data Structures, Functions, and Files 4: Data Wrangling 5: NumPy for Data Analysis 6: Pandas for Data Analysis 7: Descriptive Statistics for Data Analysis 8: Data Exploration 9: Matplotlib for Data visualization 10: Data Visualization 11: Data Analysis in Business A. Additional Resources for Further Learning B. Insider Secrets for Success as A Data Analyst C. Glossary So, what are you waiting for? Don't let your dreams of a high-paying career in data analysis slip away. Get your hands on "Mastering Data Analysis with Python" today and start making real money.
Author: Wang, John
Publisher: IGI Global
ISBN: 1605660116
Category : Computers
Languages : en
Pages : 2226
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Book Description
There are more than one billion documents on the Web, with the count continually rising at a pace of over one million new documents per day. As information increases, the motivation and interest in data warehousing and mining research and practice remains high in organizational interest. The Encyclopedia of Data Warehousing and Mining, Second Edition, offers thorough exposure to the issues of importance in the rapidly changing field of data warehousing and mining. This essential reference source informs decision makers, problem solvers, and data mining specialists in business, academia, government, and other settings with over 300 entries on theories, methodologies, functionalities, and applications.
Author: Alan C. Elliott
Publisher: John Wiley & Sons
ISBN: 1119042186
Category : Education
Languages : en
Pages : 528
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Book Description
A step-by-step introduction to using SAS® statistical software as a foundational approach to data analysis and interpretation Presenting a straightforward introduction from the ground up, SAS® Essentials: Mastering SAS for Data Analytics, Second Edition illustrates SAS using hands-on learning techniques and numerous real-world examples. Keeping different experience levels in mind, the highly-qualified author team has developed the book over 20 years of teaching introductory SAS courses. Divided into two sections, the first part of the book provides an introduction to data manipulation, statistical techniques, and the SAS programming language. The second section is designed to introduce users to statistical analysis using SAS Procedures. Featuring self-contained chapters to enhance the learning process, the Second Edition also includes: Programming approaches for the most up-to-date version of the SAS platform including information on how to use the SAS University Edition Discussions to illustrate the concepts and highlight key fundamental computational skills that are utilized by business, government, and organizations alike New chapters on reporting results in tables and factor analysis Additional information on the DATA step for data management with an emphasis on importing data from other sources, combining data sets, and data cleaning Updated ANOVA and regression examples as well as other data analysis techniques A companion website with the discussed data sets, additional code, and related PowerPoint® slides SAS Essentials: Mastering SAS for Data Analytics, Second Edition is an ideal textbook for upper-undergraduate and graduate-level courses in statistics, data analytics, applied SAS programming, and statistical computer applications as well as an excellent supplement for statistical methodology courses. The book is an appropriate reference for researchers and academicians who require a basic introduction to SAS for statistical analysis and for preparation for the Basic SAS Certification Exam.
Author: Wang, John
Publisher: IGI Global
ISBN: 159904952X
Category : Technology & Engineering
Languages : en
Pages : 3791
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Book Description
In recent years, the science of managing and analyzing large datasets has emerged as a critical area of research. In the race to answer vital questions and make knowledgeable decisions, impressive amounts of data are now being generated at a rapid pace, increasing the opportunities and challenges associated with the ability to effectively analyze this data.
