Scala Programming for Big Data Analytics: Get Started with Big Data Analytics Using Apache Spark, (Paperback)
TJS 654
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Gain the key language concepts and programming techniques of Scala in the context of big data analytics and Apache Spark.
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- Gain the key language concepts and programming techniques of Scala in the context of big data analytics and Apache Spark. The book begins by introducing you to Scala and establishes a firm contextual understanding of why you should learn this language, how it stands in comparison to Java, and how Scala is related to Apache Spark for big data analytics. Next, you'll set up the Scala environment ready for examining your first Scala programs. This is followed by sections on Scala fundamentals including mutable/immutable variables, the type hierarchy system, control flow expressions and code blocks.The author discusses functions at length and highlights a number of associated concepts such as functional programming and anonymous functions. The book then delves deeper into Scala's powerful collections system because many of Apache Spark's APIs bear a strong resemblance to Scala collections. Along the way you'll see thedevelopment life cycle of a Scala program. This involves compiling and building programs using the industry-standard Scala Build Tool (SBT). You'll cover guidelines related to dependency management using SBT as this is critical for building large Apache Spark applications. Scala Programming for Big Data Analytics concludes by demonstrating how you can make use of the concepts to write programs that run on the Apache Spark framework. These programs will provide distributed and parallel computing, which is critical for big data analytics.What You Will LearnSee the fundamentals of Scala as a general-purpose programming languageUnderstand functional programming and object-oriented programming constructs in ScalaUse Scala collections and functions Develop, package and run Apache Spark applications for big data analyticsWho ThisBook Is ForData scientists, data analysts and data engineers who intend to use Apache Spark for large-scale analytics.
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Business & Investing |
| Publication date | July, 2019 |
| Pages | 306 |
| Subgenre | Industries |
| Series title | No Series |
| Edition | 1 |
| Publisher | Apress |
| Original languages | English |
| Language | English |
| Edu focus | Technology |
| Is collectible | N |
| Binding type | Perfect Binding |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.14 x 0.69 x 9.21 in (15.6 x 1.8 x 23.4 cm) |
| Assembled product weight | 1.02 lb (460 grams) |
| Bisac subject heading | Business & Economics |
Product Description
Scala Programming for Big Data Analytics: Get Started with Big Data Analytics Using Apache Spark, (Paperback)
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TJS 654
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Features & Benefits
- Learn Scala programming fundamentals essential for big data analytics.
- Understand functional and object-oriented programming in Scala.
- Explore Scala's powerful collections system tied to Apache Spark APIs.
- Develop and package applications using the industry-standard Scala Build Tool (SBT).
- Run programs on the Apache Spark framework for distributed computing.
- Ideal for data scientists, analysts, and engineers focused on large-scale analytics.
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