Hands-On Data Analysis with Scala
Perform data collection, processing, manipulation, and visualization with Scala
Seiten
2019
Packt Publishing Limited (Verlag)
978-1-78934-611-4 (ISBN)
Packt Publishing Limited (Verlag)
978-1-78934-611-4 (ISBN)
This book will help you perform effective data analysis with Scala using practical examples. You will come across different challenges and their effective solutions for a variety of data processing tasks - be it data exploration, data manipulation, or real-time data analysis using Apache Spark.
Master scala's advanced techniques to solve real-world problems in data analysis and gain valuable insights from your data
Key Features
A beginner's guide for performing data analysis loaded with numerous rich, practical examples
Access to popular Scala libraries such as Breeze, Saddle for efficient data manipulation and exploratory analysis
Develop applications in Scala for real-time analysis and machine learning in Apache Spark
Book DescriptionEfficient business decisions with an accurate sense of business data helps in delivering better performance across products and services. This book helps you to leverage the popular Scala libraries and tools for performing core data analysis tasks with ease.
The book begins with a quick overview of the building blocks of a standard data analysis process. You will learn to perform basic tasks like Extraction, Staging, Validation, Cleaning, and Shaping of datasets. You will later deep dive into the data exploration and visualization areas of the data analysis life cycle. You will make use of popular Scala libraries like Saddle, Breeze, Vegas, and PredictionIO for processing your datasets. You will learn statistical methods for deriving meaningful insights from data. You will also learn to create applications for Apache Spark 2.x on complex data analysis, in real-time. You will discover traditional machine learning techniques for doing data analysis. Furthermore, you will also be introduced to neural networks and deep learning from a data analysis standpoint.
By the end of this book, you will be capable of handling large sets of structured and unstructured data, perform exploratory analysis, and building efficient Scala applications for discovering and delivering insights
What you will learn
Techniques to determine the validity and confidence level of data
Apply quartiles and n-tiles to datasets to see how data is distributed into many buckets
Create data pipelines that combine multiple data lifecycle steps
Use built-in features to gain a deeper understanding of the data
Apply Lasso regression analysis method to your data
Compare Apache Spark API with traditional Apache Spark data analysis
Who this book is forIf you are a data scientist or a data analyst who wants to learn how to perform data analysis using Scala, this book is for you. All you need is knowledge of the basic fundamentals of Scala programming.
Master scala's advanced techniques to solve real-world problems in data analysis and gain valuable insights from your data
Key Features
A beginner's guide for performing data analysis loaded with numerous rich, practical examples
Access to popular Scala libraries such as Breeze, Saddle for efficient data manipulation and exploratory analysis
Develop applications in Scala for real-time analysis and machine learning in Apache Spark
Book DescriptionEfficient business decisions with an accurate sense of business data helps in delivering better performance across products and services. This book helps you to leverage the popular Scala libraries and tools for performing core data analysis tasks with ease.
The book begins with a quick overview of the building blocks of a standard data analysis process. You will learn to perform basic tasks like Extraction, Staging, Validation, Cleaning, and Shaping of datasets. You will later deep dive into the data exploration and visualization areas of the data analysis life cycle. You will make use of popular Scala libraries like Saddle, Breeze, Vegas, and PredictionIO for processing your datasets. You will learn statistical methods for deriving meaningful insights from data. You will also learn to create applications for Apache Spark 2.x on complex data analysis, in real-time. You will discover traditional machine learning techniques for doing data analysis. Furthermore, you will also be introduced to neural networks and deep learning from a data analysis standpoint.
By the end of this book, you will be capable of handling large sets of structured and unstructured data, perform exploratory analysis, and building efficient Scala applications for discovering and delivering insights
What you will learn
Techniques to determine the validity and confidence level of data
Apply quartiles and n-tiles to datasets to see how data is distributed into many buckets
Create data pipelines that combine multiple data lifecycle steps
Use built-in features to gain a deeper understanding of the data
Apply Lasso regression analysis method to your data
Compare Apache Spark API with traditional Apache Spark data analysis
Who this book is forIf you are a data scientist or a data analyst who wants to learn how to perform data analysis using Scala, this book is for you. All you need is knowledge of the basic fundamentals of Scala programming.
Rajesh is a Hands-on Big Data Tech Lead and Enterprise Architect with extensive experience in the full life cycle of software development. He has successfully architected, developed and deployed highly scalable data solutions using Spark, Scala and Hadoop technology stack for several enterprises. A passionate, hands-on technologist, Rajesh has master’s degrees in Mathematics and Computer Science from BITS, Pilani (India).
Table of Contents
Scala Overview
Data Analysis Life Cycle
Data Ingestion
Data Exploration and Visualization
Applying Statistics and Hypothesis Testing
Intro to Spark for distributed Data Analysis
Traditional Machine Learning for Data Analysis
Near Real Time Data Analysis using Streaming
Working with Data at scale
| Erscheinungsdatum | 08.05.2019 |
|---|---|
| Verlagsort | Birmingham |
| Sprache | englisch |
| Maße | 75 x 93 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Informatik ► Software Entwicklung ► User Interfaces (HCI) | |
| Mathematik / Informatik ► Informatik ► Theorie / Studium | |
| ISBN-10 | 1-78934-611-8 / 1789346118 |
| ISBN-13 | 978-1-78934-611-4 / 9781789346114 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
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