Author: KM Merritt Publisher: Blue Fyre Press ISBN: 195100924X Category : Fiction Languages : en Pages : 258
Book Description
It just had to be dragons this time... Vola, Talon, and the others may have gotten rid of Inga, but there's an even bigger bad guy out there stealing magic out of the land and its people. Luckily the Dagger Princess has a lead, and now the team's headed to Firewatch, home of the great slumbering dragons. Just like the one that killed Talon's pack so long ago. Talon might not be interested in revenge but she's determined to keep her new family from meeting the same fate as her old one. However, that's going to be harder than usual. Someone is draining the magic out of the land itself, leaving dead spots in the desert. Maybe a big bad someone. Can Vola, Talon, and the others track down the thief before whoever it is wakes the dragons? Failure is not an option when cranky fire-breathers can cause the end of the world...
Author: Km Merritt Publisher: ISBN: 9781951009762 Category : Juvenile Fiction Languages : en Pages : 0
Book Description
It just had to be dragons this time... Vola, Talon, and the others may have gotten rid of Inga, but there's an even bigger bad guy out there stealing magic out of the land and its people. Luckily the Dagger Princess has a lead, and now the team's headed to Firewatch, home of the great slumbering dragons. Just like the one that killed Talon's pack so long ago. Talon might not be interested in revenge but she's determined to keep her new family from meeting the same fate as her old one. However, that's going to be harder than usual. Someone is draining the magic out of the land itself, leaving dead spots in the desert. Maybe a big bad someone. Can Vola, Talon, and the others track down the thief before whoever it is wakes the dragons? Failure is not an option when cranky fire-breathers can cause the end of the world... Note: This is the Youth Edition of Sparks and Scales. Appropriate for ages 8-12
Author: Javier Luraschi Publisher: "O'Reilly Media, Inc." ISBN: 1492046329 Category : Computers Languages : en Pages : 296
Book Description
If you’re like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data applications will learn how to use Spark from R to tackle big data and big compute problems. Authors Javier Luraschi, Kevin Kuo, and Edgar Ruiz show you how to use R with Spark to solve different data analysis problems. This book covers relevant data science topics, cluster computing, and issues that should interest even the most advanced users. Analyze, explore, transform, and visualize data in Apache Spark with R Create statistical models to extract information and predict outcomes; automate the process in production-ready workflows Perform analysis and modeling across many machines using distributed computing techniques Use large-scale data from multiple sources and different formats with ease from within Spark Learn about alternative modeling frameworks for graph processing, geospatial analysis, and genomics at scale Dive into advanced topics including custom transformations, real-time data processing, and creating custom Spark extensions
Author: Sandy Ryza Publisher: "O'Reilly Media, Inc." ISBN: 1491912731 Category : Computers Languages : en Pages : 276
Book Description
In this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example. You’ll start with an introduction to Spark and its ecosystem, and then dive into patterns that apply common techniques—classification, collaborative filtering, and anomaly detection among others—to fields such as genomics, security, and finance. If you have an entry-level understanding of machine learning and statistics, and you program in Java, Python, or Scala, you’ll find these patterns useful for working on your own data applications. Patterns include: Recommending music and the Audioscrobbler data set Predicting forest cover with decision trees Anomaly detection in network traffic with K-means clustering Understanding Wikipedia with Latent Semantic Analysis Analyzing co-occurrence networks with GraphX Geospatial and temporal data analysis on the New York City Taxi Trips data Estimating financial risk through Monte Carlo simulation Analyzing genomics data and the BDG project Analyzing neuroimaging data with PySpark and Thunder
Author: Mohammed Guller Publisher: Apress ISBN: 1484209648 Category : Computers Languages : en Pages : 290
Book Description
Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis. You will learn how to use Spark for different types of big data analytics projects, including batch, interactive, graph, and stream data analysis as well as machine learning. In addition, this book will help you become a much sought-after Spark expert. Spark is one of the hottest Big Data technologies. The amount of data generated today by devices, applications and users is exploding. Therefore, there is a critical need for tools that can analyze large-scale data and unlock value from it. Spark is a powerful technology that meets that need. You can, for example, use Spark to perform low latency computations through the use of efficient caching and iterative algorithms; leverage the features of its shell for easy and interactive Data analysis; employ its fast batch processing and low latency features to process your real time data streams and so on. As a result, adoption of Spark is rapidly growing and is replacing Hadoop MapReduce as the technology of choice for big data analytics. This book provides an introduction to Spark and related big-data technologies. It covers Spark core and its add-on libraries, including Spark SQL, Spark Streaming, GraphX, and MLlib. Big Data Analytics with Spark is therefore written for busy professionals who prefer learning a new technology from a consolidated source instead of spending countless hours on the Internet trying to pick bits and pieces from different sources. The book also provides a chapter on Scala, the hottest functional programming language, and the program that underlies Spark. You’ll learn the basics of functional programming in Scala, so that you can write Spark applications in it. What's more, Big Data Analytics with Spark provides an introduction to other big data technologies that are commonly used along with Spark, like Hive, Avro, Kafka and so on. So the book is self-sufficient; all the technologies that you need to know to use Spark are covered. The only thing that you are expected to know is programming in any language. There is a critical shortage of people with big data expertise, so companies are willing to pay top dollar for people with skills in areas like Spark and Scala. So reading this book and absorbing its principles will provide a boost—possibly a big boost—to your career.
Author: KM Merritt
Author: Km Merritt
Author: Javier Luraschi
Author: Sandy Ryza
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Author: Pennsylvania. Supreme Court
Author: United States. Congress. House
Author: Isaac Triguero
Author: Mohammed Guller
Author: Missouri. Supreme Court