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Author: Michael Manoochehri Publisher: Pearson Education ISBN: 0321898656 Category : Computers Languages : en Pages : 249
Book Description
Making Big Data Work: Real-World Use Cases and Examples, Practical Code, Detailed Solutions Large-scale data analysis is now vitally important to virtually every business. Mobile and social technologies are generating massive datasets; distributed cloud computing offers the resources to store and analyze them; and professionals have radically new technologies at their command, including NoSQL databases. Until now, however, most books on "Big Data" have been little more than business polemics or product catalogs. Data Just Right is different: It's a completely practical and indispensable guide for every Big Data decision-maker, implementer, and strategist. Michael Manoochehri, a former Google engineer and data hacker, writes for professionals who need practical solutions that can be implemented with limited resources and time. Drawing on his extensive experience, he helps you focus on building applications, rather than infrastructure, because that's where you can derive the most value. Manoochehri shows how to address each of today's key Big Data use cases in a cost-effective way by combining technologies in hybrid solutions. You'll find expert approaches to managing massive datasets, visualizing data, building data pipelines and dashboards, choosing tools for statistical analysis, and more. Throughout, the author demonstrates techniques using many of today's leading data analysis tools, including Hadoop, Hive, Shark, R, Apache Pig, Mahout, and Google BigQuery. Coverage includes Mastering the four guiding principles of Big Data success--and avoiding common pitfalls Emphasizing collaboration and avoiding problems with siloed data Hosting and sharing multi-terabyte datasets efficiently and economically "Building for infinity" to support rapid growth Developing a NoSQL Web app with Redis to collect crowd-sourced data Running distributed queries over massive datasets with Hadoop, Hive, and Shark Building a data dashboard with Google BigQuery Exploring large datasets with advanced visualization Implementing efficient pipelines for transforming immense amounts of data Automating complex processing with Apache Pig and the Cascading Java library Applying machine learning to classify, recommend, and predict incoming information Using R to perform statistical analysis on massive datasets Building highly efficient analytics workflows with Python and Pandas Establishing sensible purchasing strategies: when to build, buy, or outsource Previewing emerging trends and convergences in scalable data technologies and the evolving role of the Data Scientist
Author: Michael Manoochehri Publisher: Pearson Education ISBN: 0321898656 Category : Computers Languages : en Pages : 249
Book Description
Making Big Data Work: Real-World Use Cases and Examples, Practical Code, Detailed Solutions Large-scale data analysis is now vitally important to virtually every business. Mobile and social technologies are generating massive datasets; distributed cloud computing offers the resources to store and analyze them; and professionals have radically new technologies at their command, including NoSQL databases. Until now, however, most books on "Big Data" have been little more than business polemics or product catalogs. Data Just Right is different: It's a completely practical and indispensable guide for every Big Data decision-maker, implementer, and strategist. Michael Manoochehri, a former Google engineer and data hacker, writes for professionals who need practical solutions that can be implemented with limited resources and time. Drawing on his extensive experience, he helps you focus on building applications, rather than infrastructure, because that's where you can derive the most value. Manoochehri shows how to address each of today's key Big Data use cases in a cost-effective way by combining technologies in hybrid solutions. You'll find expert approaches to managing massive datasets, visualizing data, building data pipelines and dashboards, choosing tools for statistical analysis, and more. Throughout, the author demonstrates techniques using many of today's leading data analysis tools, including Hadoop, Hive, Shark, R, Apache Pig, Mahout, and Google BigQuery. Coverage includes Mastering the four guiding principles of Big Data success--and avoiding common pitfalls Emphasizing collaboration and avoiding problems with siloed data Hosting and sharing multi-terabyte datasets efficiently and economically "Building for infinity" to support rapid growth Developing a NoSQL Web app with Redis to collect crowd-sourced data Running distributed queries over massive datasets with Hadoop, Hive, and Shark Building a data dashboard with Google BigQuery Exploring large datasets with advanced visualization Implementing efficient pipelines for transforming immense amounts of data Automating complex processing with Apache Pig and the Cascading Java library Applying machine learning to classify, recommend, and predict incoming information Using R to perform statistical analysis on massive datasets Building highly efficient analytics workflows with Python and Pandas Establishing sensible purchasing strategies: when to build, buy, or outsource Previewing emerging trends and convergences in scalable data technologies and the evolving role of the Data Scientist
Author: Marguerite W. Davol Publisher: Albert Whitman & Company ISBN: 0807507865 Category : Juvenile Fiction Languages : en Pages : 35
Book Description
This simple story celebrates how the differences between one mother and father blend to make the perfect combination in their daughter. As this little family moves through the world, the girl notes some of the ways that her parents are different from each other, and how she is different from both of them. With each difference she lists, she highlights the ways that their individual characteristics join together to make her family. The fact that her mother is African American and her father is white is just one of the many interesting things that make this little girl and her family "just right."
Author: Birdie Black Publisher: Candlewick Press ISBN: 0763661740 Category : Juvenile Fiction Languages : en Pages : 33
Book Description
Purchasing an abundant bolt of soft, red cloth to make a Christmas outfit for his daughter, the monarch of a snowy kingdom is unaware that the leftover pieces of the cloth will be recycled to make presents for numerous subjects including a tiny mouse, who uses a miniscule scrap as a scarf.
Author: Richard Scarry Publisher: Golden Books ISBN: 0553509020 Category : Juvenile Nonfiction Languages : en Pages : 26
Book Description
Captioned illustrations introduce objects in Bunny's bedroom, bathroom, and outside the Rabbits' home, in such places as the playground, farm, airport, grocery store, harbor, and doctor's office.
Author: Marianne Cusato Publisher: Workman Publishing ISBN: 0761168915 Category : Business & Economics Languages : en Pages : 385
Book Description
Offers a guide to finding the perfect home, covering such topics as renting versus buying, mortgages, assessing neighborhoods, budgeting, evaluating a property's condition, and determining energy use and efficiency.
Author: Silvia Lopez Publisher: Albert Whitman & Company ISBN: 0807540838 Category : Juvenile Fiction Languages : en Pages : 35
Book Description
Winner, 2018 Gwen P. Reichert Gold Medal for Children's Literature, Florida Book Award Meili, who is six years old and adopted from China, learns that her parents are going to adopt a baby from Haiti. She's not happy. Why do they need a new baby? Their family is just right as it is. As Meili learns more about her new sibling and the importance of being a big sister, will she realize that a new addition can be just right for their family too?
Author: Shane Safir Publisher: Corwin ISBN: 1071812661 Category : Education Languages : en Pages : 281
Book Description
Radically reimagine our ways of being, learning, and doing Education can be transformed if we eradicate our fixation on big data like standardized test scores as the supreme measure of equity and learning. Instead of the focus being on "fixing" and "filling" academic gaps, we must envision and rebuild the system from the student up—with classrooms, schools and systems built around students’ brilliance, cultural wealth, and intellectual potential. Street data reminds us that what is measurable is not the same as what is valuable and that data can be humanizing, liberatory and healing. By breaking down street data fundamentals: what it is, how to gather it, and how it can complement other forms of data to guide a school or district’s equity journey, Safir and Dugan offer an actionable framework for school transformation. Written for educators and policymakers, this book · Offers fresh ideas and innovative tools to apply immediately · Provides an asset-based model to help educators look for what’s right in our students and communities instead of seeking what’s wrong · Explores a different application of data, from its capacity to help us diagnose root causes of inequity, to its potential to transform learning, and its power to reshape adult culture Now is the time to take an antiracist stance, interrogate our assumptions about knowledge, measurement, and what really matters when it comes to educating young people.
Author: Tracey Corderoy Publisher: Candlewick Press ISBN: 0763673447 Category : Juvenile Nonfiction Languages : en Pages : 37
Book Description
Dog has everything he needs in his big blue suitcase. Or does he? Dog’s big blue suitcase is the perfect fit for all the little treasures he has collected. He is sure that he is happy with just himself and his suitcase. Until one night when Mouse comes along, and Dog discovers that his big blue suitcase is actually just right for two.
Author: Kieran Healy Publisher: Princeton University Press ISBN: 0691181624 Category : Social Science Languages : en Pages : 292
Book Description
An accessible primer on how to create effective graphics from data This book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way. Data Visualization builds the reader’s expertise in ggplot2, a versatile visualization library for the R programming language. Through a series of worked examples, this accessible primer then demonstrates how to create plots piece by piece, beginning with summaries of single variables and moving on to more complex graphics. Topics include plotting continuous and categorical variables; layering information on graphics; producing effective “small multiple” plots; grouping, summarizing, and transforming data for plotting; creating maps; working with the output of statistical models; and refining plots to make them more comprehensible. Effective graphics are essential to communicating ideas and a great way to better understand data. This book provides the practical skills students and practitioners need to visualize quantitative data and get the most out of their research findings. Provides hands-on instruction using R and ggplot2 Shows how the “tidyverse” of data analysis tools makes working with R easier and more consistent Includes a library of data sets, code, and functions
Author: Ralph Kimball Publisher: John Wiley & Sons ISBN: 1118082141 Category : Computers Languages : en Pages : 464
Book Description
This old edition was published in 2002. The current and final edition of this book is The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition which was published in 2013 under ISBN: 9781118530801. The authors begin with fundamental design recommendations and gradually progress step-by-step through increasingly complex scenarios. Clear-cut guidelines for designing dimensional models are illustrated using real-world data warehouse case studies drawn from a variety of business application areas and industries, including: Retail sales and e-commerce Inventory management Procurement Order management Customer relationship management (CRM) Human resources management Accounting Financial services Telecommunications and utilities Education Transportation Health care and insurance By the end of the book, you will have mastered the full range of powerful techniques for designing dimensional databases that are easy to understand and provide fast query response. You will also learn how to create an architected framework that integrates the distributed data warehouse using standardized dimensions and facts.
Author: Michael Manoochehri
Author: Michael Manoochehri
Author: Marguerite W. Davol
Author: Birdie Black
Author: Richard Scarry
Author: Marianne Cusato
Author: Silvia Lopez
Author: Shane Safir
Author: Tracey Corderoy
Author: Kieran Healy
Author: Ralph Kimball