[PDF] The Big Spark - eBooks Review

The Big Spark


The Big Spark
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The Big Spark


The Big Spark
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Author : T. Ray Greer, Jr.
language : en
Publisher: CreateSpace
Release Date : 2015-10-29

The Big Spark written by T. Ray Greer, Jr. and has been published by CreateSpace this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-29 with categories.


Life is created by a series of events. If you can find some way to pull 20 extra minutes out of your life, you'd better use them wisely. Where will you discover this time, and when you find this time, how will you use it? Just 20 minutes a day will convert into a powerful 121 hours a year. That is a huge piece of time that you can use to gain new capacities and expand. The advantage is seen when we make a day by day decision and submit those 20 minutes to something beneficial. You can awaken 20 minutes before, take 20 minutes from lunch, after work, or just before bed - the decision is totally up to you. Just do it! Remove all excuses and distractions. Imagine if you just use 20 minutes a day to create a spark for your business. That small spark can turn into a major flame! How do you create this spark for your business? It's through promotion. Promotion isn't something that ought to be done randomly, just when you think you have sufficient energy to do it. Honestly, as an entrepreneur who's always busy, you're never going to have room schedule-wise. Consequently, you need to make time for what's important. This implies doing something intentional each and every day. Before you think you don't have room schedule-wise to do that, reconsider. Showcasing doesn't need to be hours of your day. Instead, it's something you can do in as little time as 20 minutes a day.



Big Data Analytics With Spark


Big Data Analytics With Spark
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Author : Mohammed Guller
language : en
Publisher: Apress
Release Date : 2015-12-29

Big Data Analytics With Spark written by Mohammed Guller and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-29 with Computers categories.


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.



Dare To Dream Big


Dare To Dream Big
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Author : Lorna Gutierrez
language : en
Publisher: Sourcebooks, Inc.
Release Date : 2020-01-07

Dare To Dream Big written by Lorna Gutierrez and has been published by Sourcebooks, Inc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-07 with Juvenile Fiction categories.


Dare to dream. Dare to fly higher. Dare to trust...dare to inspire! Dare to do what hasn't been done. Dare to be second to none! This inspirational picture book encourages children everywhere to dare to dream big, to help others, and speak out for what is right, but also take time for simple joys and to be comfortable in their own skin. Oh the Places You'll Go! for toddlers, Dare to Dream Big is full of messages about empowerment, encouragement, and the joy of daring to be the best person you can be. "A concise and rhythmic provocation to dreaming and daring."—Publishers Weekly



The Little Spark


The Little Spark
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Author : Carrie Bloomston
language : en
Publisher: Stash Books
Release Date : 2014

The Little Spark written by Carrie Bloomston and has been published by Stash Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Psychology categories.


Ignite that inner fire with the 30 engaging exercises, fun activities, inspirational images, and motivating ideas in this book. Learn what your Little Spark of creative passion looks like, how to capture it, and how to make room for it in your life. Use this guide as a month-long creative roadmap, or just dip into the exercises as your time and inclination allow. Either way, you will change your life.



Big Data Processing Using Spark In Cloud


Big Data Processing Using Spark In Cloud
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Author : Mamta Mittal
language : en
Publisher: Springer
Release Date : 2018-06-16

Big Data Processing Using Spark In Cloud written by Mamta Mittal and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-16 with Computers categories.


The book describes the emergence of big data technologies and the role of Spark in the entire big data stack. It compares Spark and Hadoop and identifies the shortcomings of Hadoop that have been overcome by Spark. The book mainly focuses on the in-depth architecture of Spark and our understanding of Spark RDDs and how RDD complements big data’s immutable nature, and solves it with lazy evaluation, cacheable and type inference. It also addresses advanced topics in Spark, starting with the basics of Scala and the core Spark framework, and exploring Spark data frames, machine learning using Mllib, graph analytics using Graph X and real-time processing with Apache Kafka, AWS Kenisis, and Azure Event Hub. It then goes on to investigate Spark using PySpark and R. Focusing on the current big data stack, the book examines the interaction with current big data tools, with Spark being the core processing layer for all types of data. The book is intended for data engineers and scientists working on massive datasets and big data technologies in the cloud. In addition to industry professionals, it is helpful for aspiring data processing professionals and students working in big data processing and cloud computing environments.



Spark The Definitive Guide


Spark The Definitive Guide
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Author : Bill Chambers
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2018-02-08

Spark The Definitive Guide written by Bill Chambers and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-08 with Computers categories.


Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals. Youâ??ll explore the basic operations and common functions of Sparkâ??s structured APIs, as well as Structured Streaming, a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing MLlib, Sparkâ??s scalable machine-learning library. Get a gentle overview of big data and Spark Learn about DataFrames, SQL, and Datasetsâ??Sparkâ??s core APIsâ??through worked examples Dive into Sparkâ??s low-level APIs, RDDs, and execution of SQL and DataFrames Understand how Spark runs on a cluster Debug, monitor, and tune Spark clusters and applications Learn the power of Structured Streaming, Sparkâ??s stream-processing engine Learn how you can apply MLlib to a variety of problems, including classification or recommendation



Mastering Spark With R


Mastering Spark With R
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Author : Javier Luraschi
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2019-10-07

Mastering Spark With R written by Javier Luraschi and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-07 with Computers categories.


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



Big Data Smack


Big Data Smack
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Author : Raul Estrada
language : en
Publisher: Apress
Release Date : 2016-09-29

Big Data Smack written by Raul Estrada and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-29 with Computers categories.


Learn how to integrate full-stack open source big data architecture and to choose the correct technology—Scala/Spark, Mesos, Akka, Cassandra, and Kafka—in every layer. Big data architecture is becoming a requirement for many different enterprises. So far, however, the focus has largely been on collecting, aggregating, and crunching large data sets in a timely manner. In many cases now, organizations need more than one paradigm to perform efficient analyses. Big Data SMACK explains each of the full-stack technologies and, more importantly, how to best integrate them. It provides detailed coverage of the practical benefits of these technologies and incorporates real-world examples in every situation. This book focuses on the problems and scenarios solved by the architecture, as well as the solutions provided by every technology. It covers the six main concepts of big data architecture and how integrate, replace, and reinforce every layer: The language: Scala The engine: Spark (SQL, MLib, Streaming, GraphX) The container: Mesos, Docker The view: Akka The storage: Cassandra The message broker: Kafka What You Will Learn: Make big data architecture without using complex Greek letter architectures Build a cheap but effective cluster infrastructure Make queries, reports, and graphs that business demands Manage and exploit unstructured and No-SQL data sources Use tools to monitor the performance of your architecture Integrate all technologies and decide which ones replace and which ones reinforce Who This Book Is For: Developers, data architects, and data scientists looking to integrate the most successful big data open stack architecture and to choose the correct technology in every layer



Learning Spark


Learning Spark
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Author : Holden Karau
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2015-01-28

Learning Spark written by Holden Karau and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-28 with Computers categories.


Data in all domains is getting bigger. How can you work with it efficiently? Recently updated for Spark 1.3, this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs in Python, Java, and Scala. This edition includes new information on Spark SQL, Spark Streaming, setup, and Maven coordinates. Written by the developers of Spark, this book will have data scientists and engineers up and running in no time. You’ll learn how to express parallel jobs with just a few lines of code, and cover applications from simple batch jobs to stream processing and machine learning. Quickly dive into Spark capabilities such as distributed datasets, in-memory caching, and the interactive shell Leverage Spark’s powerful built-in libraries, including Spark SQL, Spark Streaming, and MLlib Use one programming paradigm instead of mixing and matching tools like Hive, Hadoop, Mahout, and Storm Learn how to deploy interactive, batch, and streaming applications Connect to data sources including HDFS, Hive, JSON, and S3 Master advanced topics like data partitioning and shared variables



The Spark Of Life


The Spark Of Life
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Author : Frances Ashcroft
language : en
Publisher: Penguin UK
Release Date : 2012-06-28

The Spark Of Life written by Frances Ashcroft and has been published by Penguin UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-06-28 with Science categories.


'A wonderful book' Bill Bryson 'Ashcroft achieves the sort of rich simplicity most science writers can only dream about ... this book carries the eponymous spark of life' Sunday Telegraph From before birth to the last breath we draw, from consciousness to sexual attraction, fighting infection to the beating of our hearts, electricity is essential to everything we think and do. In The Spark of Life award-winning physiologist Frances Ashcroft reveals the secrets of ion channels, which produce the electrical signals in our cells. Can someone really die of fright? How do cocaine, LSD and morphine work? Why do chilli peppers taste hot? Ashcroft explains all this and more with wit and clarity. Anyone who has ever wondered about what makes us human will find this book a revelation. 'A rare gift for making difficult subjects accessible and fascinating' Bill Bryson 'She communicates complex science with engaging passion and eloquence' Helen Dunmore, Observer 'Compelling and very readable, an excellent writer' Literary Review 'Riveting ... she has a stock of good tales' New Scientist 'Lively, conversational prose, refreshingly accessible to any lay reader ... a positively charged little book' Daily Telegraph Frances Ashcroft is Professor of Physiology at the University of Oxford and a Fellow of Trinity College Oxford. She is also Director of OXION, a consortium of scientists studying ion channels, the heroes of this book. Her scientific research focuses on how a rise in your blood sugar level stimulates the release of insulin and what why this process goes wrong in diabetes. She has won many prizes for her research, most recently the L'Oreal/UNESCO 2012 Women in Science award. She is also a recipient of the Lewis Thomas Prize for Science Writing for The Spark of Life. Her first book for the general reader was Life at the Extremes: The Science of Survival.