data analytics intro to big data and sql programming mastery for beginners volume 1

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Big Data Analytics With Spark

Author : Mohammed Guller
ISBN : 9781484209646
Genre : Computers
File Size : 78. 10 MB
Format : PDF
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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.

Python For Data Analysis

Author : Wes McKinney
ISBN : 9781491957615
Genre : Computers
File Size : 63. 15 MB
Format : PDF, ePub
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Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the IPython shell and Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples

Scala And Spark For Big Data Analytics

Author : Md. Rezaul Karim
ISBN : 9781783550500
Genre : Computers
File Size : 86. 10 MB
Format : PDF, ePub, Mobi
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Harness the power of Scala to program Spark and analyze tonnes of data in the blink of an eye! About This Book Learn Scala's sophisticated type system that combines Functional Programming and object-oriented concepts Work on a wide array of applications, from simple batch jobs to stream processing and machine learning Explore the most common as well as some complex use-cases to perform large-scale data analysis with Spark Who This Book Is For Anyone who wishes to learn how to perform data analysis by harnessing the power of Spark will find this book extremely useful. No knowledge of Spark or Scala is assumed, although prior programming experience (especially with other JVM languages) will be useful to pick up concepts quicker. What You Will Learn Understand object-oriented & functional programming concepts of Scala In-depth understanding of Scala collection APIs Work with RDD and DataFrame to learn Spark's core abstractions Analysing structured and unstructured data using SparkSQL and GraphX Scalable and fault-tolerant streaming application development using Spark structured streaming Learn machine-learning best practices for classification, regression, dimensionality reduction, and recommendation system to build predictive models with widely used algorithms in Spark MLlib & ML Build clustering models to cluster a vast amount of data Understand tuning, debugging, and monitoring Spark applications Deploy Spark applications on real clusters in Standalone, Mesos, and YARN In Detail Scala has been observing wide adoption over the past few years, especially in the field of data science and analytics. Spark, built on Scala, has gained a lot of recognition and is being used widely in productions. Thus, if you want to leverage the power of Scala and Spark to make sense of big data, this book is for you. The first part introduces you to Scala, helping you understand the object-oriented and functional programming concepts needed for Spark application development. It then moves on to Spark to cover the basic abstractions using RDD and DataFrame. This will help you develop scalable and fault-tolerant streaming applications by analyzing structured and unstructured data using SparkSQL, GraphX, and Spark structured streaming. Finally, the book moves on to some advanced topics, such as monitoring, configuration, debugging, testing, and deployment. You will also learn how to develop Spark applications using SparkR and PySpark APIs, interactive data analytics using Zeppelin, and in-memory data processing with Alluxio. By the end of this book, you will have a thorough understanding of Spark, and you will be able to perform full-stack data analytics with a feel that no amount of data is too big. Style and approach Filled with practical examples and use cases, this book will hot only help you get up and running with Spark, but will also take you farther down the road to becoming a data scientist.

Sql Ultimate Beginner S Guide

Author : Nathan Clark
ISBN : 1540323447
Genre :
File Size : 38. 26 MB
Format : PDF, ePub, Mobi
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SQL Made Easy - a Step by Step Guide Are you curious to learn SQL? Does the thought of SQL rattle your brain? Do you need to learn how to use SQL in order to properly manage a database? Let this book settle your nerves and successfully guide you through the basics of learning SQL. This book serves to be used not only as a beginner's guide, but also as a cheat sheet. Finding a command, keyword, or function is simple in this clearly laid-out book. Functions and various commands are outlined in an easy to read format for quick referencing. Along with each stetement is an example in order to easily understand how to implement it. Take time to successfully learn SQL today! Learn SQL the right way with a guidebook that will help you understand what each and every symbol and text mean. With a complicated subject, this book will offer a simple solution! What You Will Learn Inside The basic workings of SQL. Detailed keywords, statements, commands and functions, and how to put them to use in specific or altered ways. How to use each formula in a real life situation. Terminology, syntax and expressions. Data types used by each of the four main databases. And much, much more. Get Your Copy Today!

Apache Spark 2 For Beginners

Author : Rajanarayanan Thottuvaikkatumana
ISBN : 9781785886690
Genre : Computers
File Size : 41. 18 MB
Format : PDF
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Develop large-scale distributed data processing applications using Spark 2 in Scala and Python About This Book This book offers an easy introduction to the Spark framework published on the latest version of Apache Spark 2 Perform efficient data processing, machine learning and graph processing using various Spark components A practical guide aimed at beginners to get them up and running with Spark Who This Book Is For If you are an application developer, data scientist, or big data solutions architect who is interested in combining the data processing power of Spark from R, and consolidating data processing, stream processing, machine learning, and graph processing into one unified and highly interoperable framework with a uniform API using Scala or Python, this book is for you. What You Will Learn Get to know the fundamentals of Spark 2 and the Spark programming model using Scala and Python Know how to use Spark SQL and DataFrames using Scala and Python Get an introduction to Spark programming using R Perform Spark data processing, charting, and plotting using Python Get acquainted with Spark stream processing using Scala and Python Be introduced to machine learning using Spark MLlib Get started with graph processing using the Spark GraphX Bring together all that you've learned and develop a complete Spark application In Detail Spark is one of the most widely-used large-scale data processing engines and runs extremely fast. It is a framework that has tools that are equally useful for application developers as well as data scientists. This book starts with the fundamentals of Spark 2 and covers the core data processing framework and API, installation, and application development setup. Then the Spark programming model is introduced through real-world examples followed by Spark SQL programming with DataFrames. An introduction to SparkR is covered next. Later, we cover the charting and plotting features of Python in conjunction with Spark data processing. After that, we take a look at Spark's stream processing, machine learning, and graph processing libraries. The last chapter combines all the skills you learned from the preceding chapters to develop a real-world Spark application. By the end of this book, you will have all the knowledge you need to develop efficient large-scale applications using Apache Spark. Style and approach Learn about Spark's infrastructure with this practical tutorial. With the help of real-world use cases on the main features of Spark we offer an easy introduction to the framework.

Big Data For Dummies

Author : Judith Hurwitz
ISBN : 9781118644171
Genre : Computers
File Size : 41. 22 MB
Format : PDF, Kindle
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Find the right big data solution for your business or organization Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools. If you need to develop or manage big data solutions, you'll appreciate how these four experts define, explain, and guide you through this new and often confusing concept. You'll learn what it is, why it matters, and how to choose and implement solutions that work. Effectively managing big data is an issue of growing importance to businesses, not-for-profit organizations, government, and IT professionals Authors are experts in information management, big data, and a variety of solutions Explains big data in detail and discusses how to select and implement a solution, security concerns to consider, data storage and presentation issues, analytics, and much more Provides essential information in a no-nonsense, easy-to-understand style that is empowering Big Data For Dummies cuts through the confusion and helps you take charge of big data solutions for your organization.

Data Intensive Computing Applications For Big Data

Author : M. Mittal
ISBN : 9781614998143
Genre : Computers
File Size : 68. 96 MB
Format : PDF
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The book ‘Data Intensive Computing Applications for Big Data’ discusses the technical concepts of big data, data intensive computing through machine learning, soft computing and parallel computing paradigms. It brings together researchers to report their latest results or progress in the development of the above mentioned areas. Since there are few books on this specific subject, the editors aim to provide a common platform for researchers working in this area to exhibit their novel findings. The book is intended as a reference work for advanced undergraduates and graduate students, as well as multidisciplinary, interdisciplinary and transdisciplinary research workers and scientists on the subjects of big data and cloud/parallel and distributed computing, and explains didactically many of the core concepts of these approaches for practical applications. It is organized into 24 chapters providing a comprehensive overview of big data analysis using parallel computing and addresses the complete data science workflow in the cloud, as well as dealing with privacy issues and the challenges faced in a data-intensive cloud computing environment. The book explores both fundamental and high-level concepts, and will serve as a manual for those in the industry, while also helping beginners to understand the basic and advanced aspects of big data and cloud computing.

Data Science From Scratch

Author : Joel Grus
ISBN : 9781491904404
Genre : BUSINESS & ECONOMICS
File Size : 65. 91 MB
Format : PDF, Mobi
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Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases

Techniques And Environments For Big Data Analysis

Author : Bhabani Shankar Prasad Mishra
ISBN : 9783319275208
Genre : Computers
File Size : 46. 33 MB
Format : PDF, ePub, Docs
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This volume is aiming at a wide range of readers and researchers in the area of Big Data by presenting the recent advances in the fields of Big Data Analysis, as well as the techniques and tools used to analyze it. The book includes 10 distinct chapters providing a concise introduction to Big Data Analysis and recent Techniques and Environments for Big Data Analysis. It gives insight into how the expensive fitness evaluation of evolutionary learning can play a vital role in big data analysis by adopting Parallel, Grid, and Cloud computing environments.

Sql

Author : Scott Harvey
ISBN : 1546655735
Genre :
File Size : 43. 36 MB
Format : PDF, Kindle
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Read for FREE with Kindle Unlimited! SQL: Complete guide to master SQL programming and data manipulation Do you want to learn SQL? Are you curios about how it works and how will put your mind to work? Download the book and start reading and you will get a taste of how cool and fun SQL can be! Grab your copy today! I want to congratulate you for looking at this book, it will represent the best source of information that you can have on learning SQL and how to work with databases. If you are looking to improve your programming skills and get to the next level professionally that you made the right decision. You have in front of you a book that offers you a change, a book that will teach you vital information's on the fundamentals of database programming. Through the guidance that I will give you through this book you will have in the shortest time possible a better understanding of SQL language. As you will start reading you will see that I will present you step-by-step instructions either you are a beginner or experimented programmer. It's no secret that more and more people are looking to the IT industry, to get into programming, web development, applications development, internet marketing, database manipulation and design. Taking the decision to become a database professional will be something that will define your career and will give you a secure job and also a big satisfaction for the work that you are doing. Here Is A Preview Of What You'll Learn... Why learning SQL it's very important! Terminology, syntax and expressions and how to use them What are the fundaments of SQL and data manipulation How to create a database Much, much more! Check Out What Others Are Saying... "SQL it's fun! I had a lot of fun learning SQL and now I see myself in the position where I'm looking for a very good job! Nothing it's more rewarding that being paid for doing what you like!" Michael Jones ACT NOW! Click the orange BUY button at the top of this page! Then you can begin reading SQL: Complete guide to master SQL programming and data manipulation on your Kindle device, computer, tablet or smartphone.

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