Organizations invest incredible amounts of time and money obtaining and then storing big data in data stores called data lakes. But how many of these organizations can actually get the data back out i
Core Data is intricate, powerful, and necessary, and this book is your guide to harnessing its power. Core Data is Apple's recommended way to persist data: it's easy to use, built-in, and can integrat
This book constitutes the thoroughly refereed proceedingsof the Fourth International Conference on Data Technologies and Applications,DATA 2015, held in Colmar, France, in July 2015.The 9 revised full
Few developers would argue that writing automated tests is a good idea, but actually pursue it is a different story. If you build applications with Java or Groovy, there’s good news: the Spock testing
Designing Data Reports that Work provides research-based best practices for constructing effective data systems in schools and for designing reports that are relevant, necessary, and easily understood
Designing Data Reports that Work provides research-based best practices for constructing effective data systems in schools and for designing reports that are relevant, necessary, and easily understood
Modern data is too big and complex to analyze in its native form. Data simplification is the process whereby large and complex data is rendered usable. Complex data must be simplified before it can be
The world has become digital and technological advances have multiplied circuits with access to data, their processing and their diffusion. New technologies have now reached a certain maturity. Data a
Since publication of the bestselling Environmental Data Analysis with MATLABR, many advances have been made in environmental data analysis. This new edition expands fundamentally on the original with
In an era where many believe Big Data has rendered human perception and observation 'old-school' or passe, Martin Lindstrom shows that mining and matching technological data with up-close psychologica
For courses in C++ Data Structures ? Concepts of Data Abstraction and Manipulation for C++ Programmers The Seventh Edition of Data Abstraction & Problem Solving with C++: Walls and Mirrors int
Digging into data does not have to be painful. With Data Wrangling Using Python, you'll learn how to clean and analyze data, create compelling stories, and scale that data as necessary. There are awes
Building Java Programs: A Back to Basics Approach, Third Edition, introduces novice programmers to basic constructs and common pitfalls by emphasizing the essentials of procedural programming, problem
Data is the vital raw material in our modern information economy. There is already an incredible amount of digital data in the world, and it's doubling every two years. Business decisions used to be b
Data Science has become one of the hottest fields in technology. Firms worldwide are scrambling to find developers with data science skills to work on projects ranging from social media marketing to m
If you’re a data scientist ready to tackle statistical and machine learning techniques across large data sets, this practical guide provides a solid introduction to the world of clustered computing an
Many big data-driven companies today are moving to protect certain types of data against intrusion, leaks, or unauthorized eyes. But how do you lock down data while granting access to people who need
Load, wrangle, and analyze your data using the world's most powerful statistical programming languageAbout This BookLoad, manipulate and analyze data from different sourcesGain a deeper understanding
This book describes current problems in data science and Big Data. Key topics are data classification, Graph Cut, the Laplacian Matrix, Google Page Rank, efficient algorithms, hardness of problems, di
Capitalise on big data to add value to your small businessWritten by bestselling author and big data expert Bernard Marr, Big Data For Small Business For Dummies helps you understand what big data act
This book introduces two basic big data processing paradigms for batch data and streaming data. Representative programming frameworks are also presented, as well as software defined networking (
Data mapping in a data warehouse is the process of creating a link between two distinct data models’ (source and target) tables/attributes. Data mapping is required at many stages of DW life-cycle to
For courses in computer programming and engineering. Beginner to Intermediate Programming in JavaThis book is designed to serve as a textbook and reference for programming in the Java language. A
Explore architectural approaches to building Data Lakes that ingest, index, manage, and analyze massive amounts of data using Big Data technologiesAbout This BookComprehend the intricacies of architec
Over 70 recipes to get you started with popular Python libraries based on the principal concepts of data visualizationAbout This BookLearn how to set up an optimal Python environment for data visualiz
We offer these texts bundled together at a discount for your students.Sue: Data Visualization & Presentation with Microsoft OfficeCreate and present a compelling story with Data Visualization
